D. H. KROPF KANSAS STATE UNIVERSITY

Size: px
Start display at page:

Download "D. H. KROPF KANSAS STATE UNIVERSITY"

Transcription

1 176 FROZEN MEAT-POTENTIAL AND FROBLEMS" D. H. KROPF KANSAS STATE UNIVERSITY For t h e past two decades, many c r y s t a l b a l l g a z e r s have p r e d i c t e d a c e r t a i n and r a p i d s h i f t t o f r o z e n meat r e t a i l i n g, but i n v a r i a b l y have been t o o o p t i m i s t i c. Some expensive failures have hampered expansion, A stigma o f poor q u a l i t y f o r some f r o z e n meat items has been brought about by t h e practice o f f i e e z i n g c u t s prepared f o r f r e s h r e t a i l sales when t h e y are about "over t h e h i l l " and a l s o by t h e p r e p a r a t i o n and sales of cheap frozen items t h a t a r e worth l e s s t h a n t h e i r c o s t. Why t h e cause f o r optimism on t h e part o f many i n d u s t r y groups today and o f r e s e a r c h groups such as OUT Frozen Meat Systems Research Team at Kansas S t a t e University? In enumerating advantages and disadvantages of r e t a i l i n g f r o z e n meat c u t s, it i s assumed that any frozen meat o p e r a t i o n would be associated w i t h c e n t r a l i z e d meat c u t t i n g as a part of t h e t o t a l d i s t r i b u t i o n system, The advantaaes would appear t o be as f o l l o w s t 1. Less Rework. A higher proportion o f c u t s should be s a l e a b l e before t h e y must be "pulled" from t h e case, p r i m a r i l y because a frozen r e t a i l d i s p l a y case l i f e of three weeks o r l o n g e r i s p o s s i b l e with good c o n d i t i o n s of processing, packaging, d i s t r i b u t i o n and d i s p l a y. This is c o n t r a s t e d with a maximum d i s p l a y l i f e o f 3 t o 7 days f o r many f r e s h r e t a i l c u t s, If t h e normal percentage of "rework" or "case p u l l s " is from 3 t o 5% i n a n average meat market, t h i s f a c t o r a l o n e could r e s u l t i n c o n s i d e r a b l e f i n a n c i a l s a v i n g s i f frozen meats are handled under optimal c o n d i t i o n s. An added advantage, somewhat r e l a t e d, i s that c u t s t h a t r e p r e s e n t a minor part o f sales such as lamb, could be handled i n r e t a i l m a r k e t s i n l e s s populated areas of t h e country, Many s t o r e s i n such areas now a v o i d lamb sales, because o f high l o s s e s due t o unusually l a r g e amounts o f s p o i l a g e o r rework, 2. * Reduced Shrinkaae. In a s t u d y involving lamb l o i n chops, weight l o s s e s averaged 0.29% d u r i n g f r e e z i n g and a n a d d i t i o n a l 0.42% after 6 weeks of f r o z e n d i s p l a y (half o f c u t s a t -21C and h a l f a t -29C w i t h two d e f r o s t c y c l e s d a i l y ), This i s far less than f r e s h meat s h r i n k a g e, Presented at t h e 24th Annual Reciprocal Meat Conference o f t h e American Meat Science Association, 1971.

2 Marketing F l e x i b i l i t y. This merely means t h a t i n d i v i d u a l c u t s can be channeled away from lower t o e are no longer higher demand areas f o r t h a t c u t. W s t u c k w i t h s e l l i n g a l l t h e parts of a c a r c a s s, a q u a r t e r o r even a primal o r sub-primal c u t i n one s t o r e. If t o p round s t e a k s can b r i n g a higher p r i c e i n one s t o r e l o c a t i o n t h a n a n o t h e r, more could be channeled t o t h i s s t o r e. A d i f f e r i n g demand p a t t e r n might hold f o r "eye of t h e round" s t e a k s, 4. More E f f i c i e n t I a b o r Use, Better work scheduling is p o s s i b l e i n a c e n t r a l meat c u t t i n g o p e r a t i o n meaning l e s s s k i p p i n g from p r e p a r a t i o n o f one c u t t o a n o t h e r, as i s necessary i n a r e t a i l s t o r e. Since meat cutt,ers a r e i s o l a t e d from r e t a i l s t o r e customer t r a f f i c, more productive work time and less v i s i t i n g and g o s s i p should result. Another l a b o r f a c t o r i s t h a t b e t t e r work hours a r e p o s s i b l e with a c e n t r a l frozen meat o p e r a t i o n, C u t t i n g time does not have t o conform c l o s e l y t o any r e t a i l s t o r e hours nor do workers need t o begin a t 5 a.m. i n o r d e r t o supply needs as i s necessary w i t h a c e n t r a l f r e s h meat o p e r a t i o n, Higher employee morale could result. Perhaps t h e b e t t e r hours would e n t i c e more people i n t o a c a r e e r of meat c u t t i n g, A growing CRISIS i n t h e meat i n d u s t r y today i s t h e s h o r t a g e o f r e t a i l meat c u t t e r s, Because o f t h e c r i s i s, e s p e c i a l l y on t h e east c o a s t, central c u t t i n g may be needed t o i n s u r e s u r v i v a l of our i n d u s t r y. Labar c o s t s are p r e s e n t l y climbing and r e p r e s e n t as high as 10% of meat s a l e s i n some s t o r e s, w h i l e 5% is r e a l l y a l l we can a f f o r d. The e f f e c t i n g o f l a b o r c o s t economies is e s s e n t i a l t o t h e well-being and s u r v i v a l of t h e e n t i r e l i v e s t o c k a n d meat i n d u s t r y. 5. More S a l e s Space, "Retail s t o r e space i s f o r s e l l i n g and not f o r manufacture o r processinp" is a n opinion given by a former s u p e r v i s o r o f meat o p e r a t i o n s o f Winn-Dixie S t o r e s. Manufac+urinq areas i n r e t a i l s t o r e s are g r a d u a l l y s h r i n k i n e and meat backrooms i n one s t o r e c h a i n a r e now only 1/3 as l a r g e i n new s t o r e s as t h e y were 5 t o 1 0 y e a r s aco. Precedents a l r e a d y have been s e t i n this d i r e c t i o n i n r e t a i l meat m a r k e t s since s l i c i n p and packagin: of luncheon meat and bacon has moved out of t h e r e t a i l market and %be same is occuring today w i t h i n c r e a s e d handlinq o f c h i l l - p a k p o u l t r y, The same w i l l occur f o r beef, lamb, and pork.

3 6. Less muipnaent Cost. At least in larger retail store systems, central frozen meat cutting should lower total capital investment costs as both less equipment or loner capacity equipment or loner capacity equipnent would be needed in retail markets. Just elimination of rails in new stores should effect considerable cost savings, 7. A More Uniform Product, Currently, each market tends to cut meat differently and perhaps some variation is desirable, However, a central meat operation is more amenable to automation and work specialization. Tight qnality control of composition, such as ground meat urnposition, is more possible in a central meat cutting operat ion, 8, Improved Sanitation. It is possible to have a stricter sanitation program in a central meat plant and to have a more extensive microbiological monitoring system. 9. Increased Total Carcass Utilization. Less discolored, spoiled, unuseable meat will result if some carcass parts such as outside flank muscle, diaphragm (skirt), hanging tender, neck meat and chuck trim from the inside of vertebra were removed while still fresh and wholesome, perhaps as little as 24 hours post mortem. In one store system operation, the value of these cuts paid for an entire operation of breaking carcasses into sub-primal cuts, Central meat cutting also makes possible improved utilization of fat trim and bone. 10. Consumer Convenience. In various consumer surveys, from 75 to 90% of housewives purchase fresh meat cuts and freeze them in home freezers. We are trying to sell the idea of cooking from the frozen state, realizing that cooking time with conventional methods will be 113 to 112 longer than for fresh meat, However, the housewife need not plan ahead (for chops, steaks, patties and thin cuts) but can decide on her meat menu shortly before the meal. Perhaps other advantages could be enumerated for frozen meat cuts such a8 the longer retention of high product quality. Reducing tonnage would tend to reduce transportation costs, although these might be partly offset by increased costs of maintaining freezing temperatures in distribution,

4 179 Disadvantages o f frozen meat r e t a i l i n g combined w i t h c e n t r a l meat c u t t i n g must a l s o be c a r e f u l l y considered. These include: 1. Union T r a d i t i o n and Contract P o s i t i o n, Labor unions have been very s t r o n g i n most areas and have s u c c e s s f u l l y r e s i s t e d t h e system we advocate, In many p l a c e s, t h e i s s u e r e a l l y b o i l s down t o which union, as one union may c o n t r o l r e t a i l s t o r e c u t t i n g and another might be involved i n c e n t r a l meat c u t t i n g. If l a b o r unions f a i l t o r e c r u i t and t r a i n enough h e l p f o r meat i n d u s t r y needs, t h e i r s t r o n g r e s i s t a n c e t o c e n t r a l c u t t i n g w i l l be weakened. Some "break through" c o n t r a c t s on t h i s i s s u e have been n e g o t i a t e d and o t h e r s w i l l follow. 2 Consumer Resistance. Some consumer a v e r s i o n t o f r o z e n r e t a i l meat c u t s has been brought about by bad e x p e r i e n c e s, Frozen c u t s are o f t e n d a r k, f r o s t e d over o r sometimes p a r t l y bloody i n appearance, and t h e r e f o r e do not h e l p overcome r e s i s t a n c e. However, t h e package w e have used i n r e c e n t s t u d i e s conforms v e r y c l o s e l y t o t h e meat surface and e l i m i n a t e s t h e f r o s t and blood problem, W e a r e attempting t o determine proper conclitions s o as t o produce a s t a b l e and consumer a c c e p t a b l e c o l o r, Consumer r e s i s t a n c e w i l l be l e s s i f frozen meats a r e merchandized from c a s e s placed i n l i n e w i t h r e g u l a r f r e s h meat c a s e s r a t h e r t h a n from c a s e s?laced o f f i n a c o r n e r of t h e s t o r e, We were pleased w i t h o u r a b i l i t y t o place product w i t h a c c e p t a b l e appearance i n two supermarkets and f o u r convenience s t o r e s i n o u r t e s t s run i n Our package showed both s i d e s o f meat c u t s and was well accepted shown by frozen meat sales t h a t averaged 16% and 20% o f t o t a l f r e s h and f r o z e n sales o f t h o s e c u t s t e s t e d (26 and 19 b e e f, pork and lamb c u t s, r e s p e c t i v e l y, e were a l s o encouraged by t h e s t e a d y i n two s t o r e s ). W rate o f sales o f f r o z e n meat c u t s over a 13 week and 6 week period, r e s p e c t i v e l y, i n t h e two supermarkets. 3. Tonnwe, Gross P r o f i t a r e Less. Unfortunately, many r e t a i l meat markets measure t h e i r s u c c e s s by a y a r d s t i c k o f e i t h e r tonnage o r g r o s s p r o f i t, b u t i f tonnage is 50% higher by purchasing carcass beef, but one-third o f t h i s tonnage i s non-saleable i n t h e r e t a i l c a s e, t h i s measure o f s t o r e p r o d u c t i v i t y is meaningless. Since n e i t h e r tonnage figures nor gross p r o f i t can be i s s u e d t o s t o c k h o l d e r s as d i v i d e n d s, it would appear t h a t only NET PROFIT is t h e key measure of success,

5 180 Some s h i f i i n g of l a b o r i n p u t s would be required from r e t a i l s t o r e s t o c e n t r a l meat p l a n t s. Perhaps t h e major manpower requirement i n t h e r e t a i l market would be a meat maerchandiser/market manager/public r e l a t i o n s / meat educator type person who enjoys meeting t h e public. Obviously s t o r e s nould not use t h e same amount of manpower i f fewer j o b s need t o be done, 4. Retailer Scepticism. Since t h e wholehearted, e n t h u s i a s t i c support of a market manager is important i n success o f a new venture, few problems can be as damaging as a r e t a i l e r who believes "It Won't Work" and then may s u b t l y o r n o t so s u b t l y assure t h a t it doesn't work, 5. Cost of Equipment Changeover. More automated, more expensive equipment w i l l be needed a t t h e c e n t r a l c a t t i n g p l a n t, but more productivity per employee and per machine should r e s u l t, People problems include t h e p o s s i b i l i t y of abuse of e o s e n product, mostly due t o poor temperature c o n t r o l, 6, Abuse, Our c o n t a c t s with retailers brought t o our a t t e n t i o n a s i t u a t i o n where frosen meat was a c t u a l l y l e f t outside on a loading dock f o r most o f a warm s m e r day. A t t r a c t i v e frozen meat c o l o r i s l o s t very r a p i d l y with temperature abuse, Rather than t o r e l y e n t i r e l y on employee education and concern, t h e s o l u t i o n would appear t o be i n development of "goof-proof" meat d i s t r i b u t i o n systems such as completely self contained meat handling u n i t s with b u i l t i n r e f r i g e r a t i o n t h a t could be plugged i n upon delivery. 7. Packaging Productivity, Large meat packers have expressed concern about packaging productivity o f t h e system w e have worked with. The first model of t h e machine used I n i n d u s t r y for t h e packaging system we are norking with wad capable of 20 cycles per minute with one package per c y a l e. The MSP-3, due for d e l i v e r y t h i s f a l l, w i l l have a c a p a b i l i t y o f 15 t o 20 c y c l e s per minute with up t o 3 o r 4 packages per c y c l e, Other systems are a l s o a l r e a d y developed for use o f s k i n t i g h t f i l m, 8. Inadequate M s p l a y Cases. Optimum d i s p l a y temperatures nould involve a maximum temperature of -10F o r lower a t t h e meat surface. Many d i s p l a y cases are not capable o f reaching t h i s low temperature and, i n a d d i t i o n, a r e s u b j e c t t o two d e f r o s t c y c l e s d a i l y. Even t h e e f f i c i e n t operation of t h e s e cases is hampered by p i l i n g product t o o high i n t h e case or by poor c o n t r o l of s t o r e temperature and humidity,

6 183 Improved d i s p l a y equipment w i l l be a v a i l a b l e, i n c l u d i n g m u l t i - c o i l cases nhere one s e t of c o i l s is working w h i l e a n o t h e r is being d e f r o s t e d and a t t r a c t i v e upright f r o z e n d i s p l a y cases w i t h very e f f e c t i v e a i r c u r t a i n s t o minimize e f f e c t o f s t o r e c o n d i t i o n s on case performance. 9. Cryogenic Freezing Costs, Some p o t e n t i a l u s e r s e x p r e s s s c e p t i c i s m about c o s t estimates. One processor i n Kansas r e p o r t e d f r e e z i n g c o s t s of up t o n i n e c e n t s p e r l b., but a n o t h e r v e r y e f f i c i e n t u s e r of t h e same t y p e of l i q u i d n i t r o g e n cryogenic system was g e t t i n g t h e j o b done f o r t n o c e n t s p e r pound, compared t o an o f t quoted c o s t of t h r e e c e n t s. Obviously, management was involved. When cryogenic f r e e a e r s are cooled, a nnaximum throughput must be used a n d q p e r a t l o n time must be mjnimized i n t o one period (as s h o r t a time as p o s s i b l e ), Most u s e r s a l s o a c h i e v e o n l y a c r u s t f r e e z e with a cryogenic system and t h e n allow product t e m p e r a t m e t o e q u i l i b r a t e under f r e e z e r s t orage c o n d i t i o n s, 10. LiKhting V a r i a t i o n s. Few s t o r e engineers or management personnel seem t o be aware of e f f e c t s o f l i g h t i n g i n t e n s i t y o r t y p e on frozen meat c o l o r s t a b i l i t y, An undergraduate s t u d e n t a t Kansas State U n i v e r s i t y surveyed f r e s h meat l i g h t i n g c o n d i t i o n s i n Manhattan, Kansas, and found l i g h t i n t e n s i t y t o vary from about 30 t o well over 300 f o o t c a n d l e s a t t o p meat c u t l e v e l. O u r s t u d i e s have shown t h a t frozen meat cuts are v e r y s e n s i t i v e t o l i g h t i n g i n t e n s i t y, b u t t h a t higher i n t e n s i t y i s p o s s i b l e with some l i g h t i n g s y s t e m without speedina up c o l o r d e t e r i o r a t i o n, 11. A r t i f i c i a l Appearance, My first r e a c t i o n when I saw beef c u t s packaged i n t h e film w e a r e c u r r e n t l y using was that appearance was " a r t i f i c i a l. " Now t h a t we are involved i n this p r o j e c t n e no longer can judge t h i s o b j e c t i v e l y. I n follow-up i n t e r v i e w s o f o u r s t o r e t e s t s last summer, 14.0 and 5.3% (10 and 3 r e s p o n s e s ) i n d i c a t e d t h a t "meat d i d not look a t t r a c t i v e ( s h r i v e l e d, a r t i f i c i a l, dog food, dummy l i k e ). " 12. Cuts Cold t o Handle. None o f o u r i n t e r v i e w e e s i n d i c a t e d t h i s was a problem, s o packages can be designed t o e l i m i n a t e t h i s problem. 13. Longer Cooking T i m e. If c u t s a r e t o be cooked from t h e f'rozen state as we recommend, one-third t o one-half a d d i t i o n a l time should be allowed f o r cooking. This should not be a problem with s t e a k s and t h i n n e r c u t s where cooking times a r e r e l a t i v e l y s h o r t, but could add s u b s t a n t i a l l y t o r o a s t i n g time s c h e d u l e s,

7 Color Two-Toning. Some beef c u t s (such as T-bone s t e a k s ) r e t a i n c o l o r uniformity whereas o t h e r s show a wide c o l o r d i f f e r e n c e between muscles, even when a l l processing s t e p s are c a r e f u l l y c o n t r o l l e d. The degree of c o l o r uniformity seems t o be a carcass c h a r a c t e r i s t i c and w e a r e now a t t e m p t i n g t o c h a r a c t e r i z e muscles from uniform and non-uniform s t e a k s i n a n e f f o r t t o understand how t o s e l e c t carcasses f o r f r o z e n r e t a i l merchandising o r w h a t processing s t e p s t o a l t e r t o achieve c o l o r uniformity. This c o n d i t i o n occurs w i t h i n one day a f t e r f r e e z i n g and c o l o r c o n t r a s t can be so great as t o d e f i n i t e l y affect m e r c h a n d i s a b i l i t y. Many c u t s c o n t a i n so c a l l e d "red muscles" which are capable o f becoming v e r y dark v e r y r a p i d l y post k e e z i n g. Muscle boning i s not a n answer i n a l l cases s i n c e some of t h e s e muscles are small, i. e. t h e s p i n a l i s d o r s i o r c a p muscle i n r i b s t e a k s, Perhaps o t h e r p o s s i b l e disadvantages should be included. Some o f t h e r e c e n t f r o z e n r e t a i l i n g e f f o r t s have been hampered by packaging f a i l u r e o r by t o o expensive packaging c o s t s. Consumers are q u i t e wary of frozen meat, consequently w e f e e l t h a t both side v i s i b i l i t y i s e s s e n t i a l i n t h e r e t a i l package. Recent f r o z e n meat r e s e a r c h e f f o r t s a t Kansas S t a t e University have been headed by Harold J. Tuma but have included cooperation by c o l l e a g u e s i n Departments o f Animal Science and I n d u s t r y, A g r i c u l t u r a l Economics, Foods and N u t r i t i o n, S t a t i s t i c s and Mechanical Engineering. The e f f o r t s of o u r Frozen Meat Systems Research Team have shown t h a t u n i v e r s i t y expertise can be drawn t o g e t h e r t o s o l v e important i n d u s t r y p r o b l e m and can provide t h e s e answers i n a r e l a t i v e l y s h o r t time, W e have had 6 month and 1 y e a r d e a d l i n e s on some of our r e s e a r c h o b l i while much of t h e r e s e a r c h is of an g a t i o n s and have & them!! t h i s p r o g r m has a l s o led t o some v e r y basic r e s e a r c h applied nature, Our work would n o t have been p o s s i b l e without a long l i s t of studies, c o n t r i b u t o r s i n c l u d i n g t h e National U v e s t o c k and Meat Board, American Sheep Producers Council, Foodararaa-Shop Rite S t o r e s, Uawa Food k r k e t s, American Can Company, Blue Mamond Meat Co., E, I, W o n t De Nemours and Co., E & R R e f r i g e r a t i o n, Hoerner-Ualdorf Corporation, Husamann R e f r i g e r a t i o n Company, National Cylinder Gas Division o f Chemetron Corp., Thermo-King Corporation, Wilson C e r t i f i e d Foods, Wilson-Sinalair Corporation, u.s, Department o f Agriculture (mansp o r t a t i o n and Facilities), W. R. mace and Company, Holophane Corporation of America and Sylvania Corp. Since we have agreed t o g i v e l e a d t i n e t o some of o u r c o n t r i b u t o r s before making some o f t h e r e s u l t s o f our s t u d i e s p u b l i c l y available, we c a n ' t d i s c l o s e a l l r e s u l t s a t this time. However, some of our f i n d i n g s are:

8 Beef c u t s appeaz t o pose t h e greatest c h a l l e n g e i n maintaining a c c e p t a b l e appearance and lamb c u t s t h e least. Pork c u t s o f t e n are q u i t e two-toned, b u t t h e consumer may a c c e p t greater q u a l i t y v a r i a t i o n i n pork, 2, Marbling i n lamb l o i n chops did not, affect fl-ozen d i s p l a y c o l o r s t a b i l i t y. Marbling l e v e l s s t u d i e d were moderate o r s l i g h t l y abundant (USDA Prime), s l i g h t o r small (USDA Good), Quality effects i n beef have n o t been e x t e n s i v e l y s t u d i e d, 3. Ageing beef steaks f o r 10 days doesn t have s u f f i c i e n t advantage i n cooked product acceptance over t h a t c u t hours post mortem t o merit, t h e extra c o s t, at 24 or 4, Packaging film must have some oxygen p e r m e a b i l i t y or packaged muscles turn dark, presumably because oxy- myoglobin r e v e r t s t o reduced myoglobin, Cuts become d a r k v e r y r a p i d l y when packaged i n a v e r y low p e r m e a b i l i t y saran or nylon-polyethylene film. This problem was more i n t e n s e when c u t s were packaged before f r e e z i n g o r when d i s p l a y e d a t t o o high d i s p l a y temperatures. 5, Some f r e e z i n g systems are t o o slow r e s u l t i n g i n dark c o l o r of frozen product, such as mechanical air blast f r e e z i n g at -26 t o -29 C f o r 24 hours. Generally, faster f r e e z i n g r e s u l t e d i n a b r i g h t e r frozen meat c o l o r. Cryogenic systems are d e s i r a b l e, at. least i n c r u s t f r e e z i n g. 6. Some v e r y r a p i d f r e e z i n g systems cause a l i g h t e n i n g o f product c o l o r, This l i g h t e n i n g can be overcome, a t least p a r t l y, by heat a p p l i c a t i o n, 7, F rozen meat c o l o r is s t a b l e (does not d e t e r i o r a t e r a p i d l y ) i n t h e d a r k if kept a t a reasonably cold temperature, Color seems v e r y s e n s i t i v e t o d i s p l a y l i g h t i n t e n s i t y l e v e l s, more so under some l i g h t i n g systems than o t h e r s, 8. Display l i g h t i n g systems v a r y c o n s i d e r a b l y w i t h respect t o c o l o r balance ( r e n d i t i o n ) and e f f e c t s on s t a b i l i t y o f meat c o l o r, There is c o n s i d e r a b l e controversy i n t h e l i t e r a t u r e r e g a r d i n g c o l o r s t a b i l i t y e f f e c t s, but our s t u d i e s show d i f f e r e n c e s. W e recommend use of one o f 4 or 5 l i g h t i n g systems, In e v a l u a t i n g c o l o r s t a b i l i t y e f f e c t s o f v a r i o u s l i g h t s o u r c e s, one should e v a l u a t e c u t s under a common l i g h t s o u r c e s i n c e some d i s p l a y systems mask c o l o r d e t e r i o r a t i o n,

9 9. Colder d i s p l a y c a s e temperatures are h e l p f u l i n prolonging acceptable c o l o r l i f e o f meat c u t s, 10, Use of n i g h t c o v e r s over d i s p l a y cases may n o t be needed, Much of our r e c e n t r e s e a r c h work and a l s o p r e p a r a t i o n o f product f o r s t o r e testing has been done w i t h DuPont Iolon s k i n t i g h t packaging e were v e r y film system using a n MSP-1 or MSP-2 packaging machine. W pleased at our a b i l i t y t o p l a c e product o f acceptable appearance i n r e t a i l s t o r e s and were pleased w i t h t h e package that u t i l i z e d a headerback support paper board a t t a c h e d t o one edge o f t h e f i l m w i t h "both side v i s i b i l i t y. " Sales of 3 c u t s i n a p i c t o r i a l high g l o s s c a r t o n were s p o r a d i c, i n d i c a t i n g consumers wanted t o see what t h e y were buying, Frozen meat sales amounted t o about 16 and 20% o f t o t a l sales of c u t s used i n t e s t and sales were s t e a d y over t h e t e s t period. A great d e a l of i n t e r e s t has been shown i n our fyozen meat r e s e a r c h, but some problems remain t o be r e s o l v e d, One might q u e s t i o n why we a n t i c i p a t e s u c c e s s i n f r o z e n meat r e t a i l i n g i n view o f p a s t failures, C e r t a i n l y, we don't a n t i c i p a t e a r a p i d changeover t o frozen meat systems, b u t r a t h e r a gradual t r a n s i t i o n. However, t h e f o l l o w i n g r e a s o n s should c o n t r i b u t e t o success I I. S M n TiKht Packaging has been a real asset i n improving product appearance. 2, Cryogenic F'reezinsr, systems a r e a v a i l a b l e and t h e i r proper use makes p o s s i b l e a b r i g h t, a t t r a c t i v e, h i g h l y a c c e p t a b l e product w i t h e x c e l l e n t e a t i n g and n u t r i t i o n a l q u a l i t i e s. 3. e are h i g h l y encouraged by Consumer S a t i s f a c t i o n, W r e s u l t s of consumer t e s t i n g both concerning purchasing f r o z e n c u t s and cooked s a t i s f a c t i o n. 4. Innovative P r o g r e s s i v e Retail I n d u s t r y w i l l use methods that c a n improve r e t a i l o p e r a t i o n. hrozen meat is e s p e c i a l l y a d a p t a b l e t o two new t y p e s o f s t o r e s that w i l l i n c r e a s e i n number, namely convenience s t o r e s and v e r y large supermarkets with pallet-loaded, pre-priced merchandise, 5. Squeeze of Meat C u t t e r Shortage will create p r e s s u r e toward l a b o r e f f i c i e n c i e s. The a l t e r n a t i v e is i n c r e a s e d meat c o s t and reduced meat sales, 6. Improved Waste Disposal is more p o s s i b l e in a c e n t r a l l o c a t i o n where waste can be r e c y c l e d f o r u s e and where volume is s u f f i c i e n t t o j u s t i f y p o l l u t i o n c o n t r o l c o s t s, This w i l l be i n c r e a s i n g l y important i n our e c o l o g i c a l l y aware s o c i e t y.

10 7. Low Volume S t o r e s can handle a greater v a r i e t y of f r o z e n meat c u t s t h a n of f r e s h meat c u t s without undue l o s s e s. 8, I n c r e a s i n g Labor C o s t s m u s t be c u t o r meat consumption w i l l suffer. O u r group is o p t i m i s t i c a b o u t f r o z e n meat r e t a i l i n g and o u r e a r e p l e a s e d t o be n.rthusiasm is supported by many i n d u s t r y people. W!rq*qlved i n a v i t a l and p e r t i n e n t r e s e a r c h area siich as t h i s,. H, J TUMAr Thank you v e r y much, Don. C e r t a i n l y t h e r e have been a l o t of failures i n f r o z e n meats and we do have a l o t o f optimism at Kansas State, de s t i l l have a l o t of q u e s t i o n s and I would hope we c o u l d g e n e r a t e some enthusiasm on t h e part o f some o t h e r i n s t i t u t i o n s.o h e l p answer t h e m u l t i t u d e o f q u e s t i o n s t h a t s t i l l remain 'There are s t i l l some t e c h n i c a l d i f f i c u l t i e s i n t h i s t h i n g. Me've had a +,earn approach and have had about s i x d i f f e r e n t departments involved :n v a r i o u s stages o f t h i s r e s e a r c h, The next gentleman on t h e p r a y r a m i s, as Don mentioned, from o u r Mechanical dngineering Department, D r. Paul Miller, and Paul and I have a l o t o f t h i n q s i n Tommon, W e both l i k e t o f i s h and i f ne d i g a l i t t l e d e e p e r we both 9:ot OUT f i r s t two d e g r e e s a t Kansas S t a t e a n d Paul Miller f i n i s h e d U L ) a t Oklahoma S t a t e, W e t h i n k t h a t ' s a p r e t t y good s c h o o l even :bough we're p r t i a l t o Kansas, Paul has been i n s t r u m e n t a l i n nelping w i t h o u r f r e e z i n g s t u d i e s, both retail-case wise and o u r Yryogenic system. W e a s s i g n e d a tough t o p i c t o Paul on Commercial e f i n d t h a t t h i s information Freezinq Systems f o r t h e Food I n d u s t r y. W h a s n ' t r e a l l y been p u t t o g e t h e r i n t h e past and I t h i n k P a u l ' s done t r e a l n i c e j o b doing i t. W e a p p r e c i a t e t h e time and e f f o r t he took ta be on o u r p r q r a m. Dr. Paul Miller.

There are a greater number of home freezers and combination freezer-refrigerators than in the past.

There are a greater number of home freezers and combination freezer-refrigerators than in the past. 58 The fairly recent survey sponsored by the USDA and National Livestock and Meat Board indicated that 78% of the consumers would reject buying meat already frozen, although, 87% of the consw7lers do freeze

More information

CHAPTER 11 Integer Programming, Goal Programming, and Nonlinear Programming

CHAPTER 11 Integer Programming, Goal Programming, and Nonlinear Programming Integer Programming, Goal Programming, and Nonlinear Programming CHAPTER 11 253 CHAPTER 11 Integer Programming, Goal Programming, and Nonlinear Programming TRUE/FALSE 11.1 If conditions require that all

More information

F. B'. THOWAS NORTH CAROLINA STATE UNIVERSITY

F. B'. THOWAS NORTH CAROLINA STATE UNIVERSITY CLTRRENTAND PROPOSRDCATFISH PROCESSING AND MARKETING" F. B'. THOWAS NORTH CAROLINA STATE UNIVERSITY In t h e last decade, we have s e e n t h e development o f a new farm e n t e r p r i s e r i s e from

More information

AND INTERNSHIP PROGRAMS*

AND INTERNSHIP PROGRAMS* 425 WORK STLTDY AND INTERNSHIP PROGRAMS* DAVID E SCHAFIER Kansas S t a t e University Thanks t o each of you i n t h e U n i v e r s i t i e s who received and returned t h e survey form s e n t about

More information

A S U R V E Y OF 4-H AND FFA MEATS P R O G R A M S

A S U R V E Y OF 4-H AND FFA MEATS P R O G R A M S 129. A S U R V E Y OF 4-H AND FFA MEATS P R O G R A M S Livestock production projects have always been popular among 4 - H Club and I T A members. The t r a i n i n g of boys and g i r l s i n meats has

More information

NIR prediction of pork tenderness. Steven Shackelford, Andy King, and Tommy Wheeler USDA-ARS U.S. Meat Animal Research Center Clay Center, NE

NIR prediction of pork tenderness. Steven Shackelford, Andy King, and Tommy Wheeler USDA-ARS U.S. Meat Animal Research Center Clay Center, NE NIR prediction of pork tenderness Steven Shackelford, Andy King, and Tommy Wheeler USDA-ARS U.S. Meat Animal Research Center Clay Center, NE 1. Slice shear force Background 2. Fresh (never frozen) vs Frozen

More information

2. Linear Programming Problem

2. Linear Programming Problem . Linear Programming Problem. Introduction to Linear Programming Problem (LPP). When to apply LPP or Requirement for a LPP.3 General form of LPP. Assumptions in LPP. Applications of Linear Programming.6

More information

Math 141:512. Practice Exam 1 (extra credit) Due: February 6, 2019

Math 141:512. Practice Exam 1 (extra credit) Due: February 6, 2019 Math 141:512 Due: February 6, 2019 Practice Exam 1 (extra credit) This is an open book, extra credit practice exam which covers the material that Exam 1 will cover (Sections 1.3, 1.4, 2.1, 2.2, 2.3, 2.4,

More information

ALGEBRA 1 SEMESTER 1 INSTRUCTIONAL MATERIALS Courses: Algebra 1 S1 (#2201) and Foundations in Algebra 1 S1 (#7769)

ALGEBRA 1 SEMESTER 1 INSTRUCTIONAL MATERIALS Courses: Algebra 1 S1 (#2201) and Foundations in Algebra 1 S1 (#7769) Multiple Choice: Identify the choice that best completes the statement or answers the question. 1. Ramal goes to the grocery store and buys pounds of apples and pounds of bananas. Apples cost dollars per

More information

COMMODITY PORK PRICE FORECASTING FOR HORMEL FRESH PORK SALES TEAM CORTNEY BALLY. B.S., Kansas State University, 2007 A THESIS

COMMODITY PORK PRICE FORECASTING FOR HORMEL FRESH PORK SALES TEAM CORTNEY BALLY. B.S., Kansas State University, 2007 A THESIS COMMODITY PORK PRICE FORECASTING FOR HORMEL FRESH PORK SALES TEAM by CORTNEY BALLY B.S., Kansas State University, 007 A THESIS Submitted in partial fulfillment of the requirements for the degree MASTER

More information

Introduction to Systems of Equations

Introduction to Systems of Equations Systems of Equations 1 Introduction to Systems of Equations Remember, we are finding a point of intersection x 2y 5 2x y 4 1. A golfer scored only 4 s and 5 s in a round of 18 holes. His score was 80.

More information

Practice Questions for Math 131 Exam # 1

Practice Questions for Math 131 Exam # 1 Practice Questions for Math 131 Exam # 1 1) A company produces a product for which the variable cost per unit is $3.50 and fixed cost 1) is $20,000 per year. Next year, the company wants the total cost

More information

Important Developments in International Coke Markets

Important Developments in International Coke Markets Important Developments in International Coke Markets Andrew Jones Resource-Net South Africa China Coke Market Congress Xuzhou, Jiangsu September 2018 Introduction to Presentation Resource-Net produces

More information

HACCP Concept. Overview of HACCP Principles. HACCP Principles. Preliminary Tasks Development of the HACCP Plan

HACCP Concept. Overview of HACCP Principles. HACCP Principles. Preliminary Tasks Development of the HACCP Plan HACCP Concept Overview of HACCP Principles A systematic approach to be used in food production as a means to assure food safety. National Advisory Committee on Microbiological Criteria for Foods (NACMCF)

More information

O F M O S T CONCERN TO I N D U S T R Y

O F M O S T CONCERN TO I N D U S T R Y 234. C O M H E R C I A L PROCESSING P R O B L E M S O F M O S T CONCERN TO I N D U S T R Y NE I L WEBB THE E C K E R TP A C K I N GC O M P A N Y D E F I A N C E.O H I O INTEEODUCTION : The xeat industry

More information

Overview of HACCP Principles. OFFICE OF THE TEXAS STATE CHEMIST Texas Feed and Fertilizer Control Service Agriculture Analytical Service

Overview of HACCP Principles. OFFICE OF THE TEXAS STATE CHEMIST Texas Feed and Fertilizer Control Service Agriculture Analytical Service Overview of HACCP Principles OFFICE OF THE TEXAS STATE CHEMIST Texas Feed and Fertilizer Control Service Agriculture Analytical Service OFFICE OF THE TEXAS STATE CHEMIST 2 HACCP Concept A systematic approach

More information

CONSUMER ACCEPTANCE OF GROUND B E E F

CONSUMER ACCEPTANCE OF GROUND B E E F 353. CONSUMER ACCEPTANCE OF GROUND B E E F R. S. GLOVER AUBURN U N I V E R S l TY & U N I V E R S I T Y OF G E O R G I A Any d i s c u s s i o n of ground beef probably should be prefaced by placing ernp'hasis

More information

F O R PROCESSED M E A T S

F O R PROCESSED M E A T S 71. S T A T I S T I C A L Q U A L I T Y CONTROL A P P L I C A T f O N S F O R PROCESSED M E A T S D O N A L D PAUL O S C A R M A Y E R& Co. M A DI S O N, W I S C O N S I N. -----..---.------------ I would

More information

Multicriteria Decision Making

Multicriteria Decision Making Multicriteria Decision Making Goal Programming Multicriteria Decision Problems Goal Programming Goal Programming: Formulation and Graphical Solution 1 Goal Programming Goal programming may be used to solve

More information

Chapter 2 Introduction to Optimization and Linear Programming

Chapter 2 Introduction to Optimization and Linear Programming Ch. 2 Introduction to Optimization and Linear Programming TB-9 Chapter 2 Introduction to Optimization and Linear Programming Multiple Choice 1. What most motivates a business to be concerned with efficient

More information

LINEAR PROGRAMMING MODULE Part 1 - Model Formulation INTRODUCTION

LINEAR PROGRAMMING MODULE Part 1 - Model Formulation INTRODUCTION Name: LINEAR PROGRAMMING MODULE Part 1 - Model Formulation INTRODUCTION In general, a mathematical model is either deterministic or probabilistic. For example, the models and algorithms shown in the Graph-Optimization

More information

MATH 112 Final Exam Study Questions

MATH 112 Final Exam Study Questions MATH Final Eam Study Questions Spring 08 Note: Certain eam questions have been more challenging for students. Questions marked (***) are similar to those challenging eam questions.. A company produces

More information

Program Name: PGDBA Production and Operations Management Assessment Name: POM - Exam Weightage: 70 Total Marks: 70

Program Name: PGDBA Production and Operations Management Assessment Name: POM - Exam Weightage: 70 Total Marks: 70 Program Name: PGDBA Subject: Production and Operations Management Assessment Name: POM - Exam Weightage: 70 Total Marks: 70 Duration: 60 mins Instructions (Start of Assessment): Marks: 70 Time: 60 Minutes

More information

Skupos Data Helps Convenience Stores Predict Inventory Needs Before Hurricanes

Skupos Data Helps Convenience Stores Predict Inventory Needs Before Hurricanes Case Study: Hurricane Florence Winter 2018 SKUPOS Inc. 300 Kansas St. Suite 103 San Francisco, CA 94103 www.skupos.com Skupos Data Helps Convenience Stores Predict Inventory Needs Before Hurricanes A Look

More information

RALPH W. JOHNSTON of Agriculture

RALPH W. JOHNSTON of Agriculture I MICROBIOLOGICAL CRITERIA I N PROCESSED MEATS* U S RALPH W JOHNSTON of Agriculture Department The s u b j e c t matter which I w i l l b r i e f l y d i s c u s s today i s f a r from being new Microbiological

More information

15.8 MULTIPLE REGRESSION WITH MANY EXPLANATORY VARIABLES

15.8 MULTIPLE REGRESSION WITH MANY EXPLANATORY VARIABLES 15.8 MULTIPLE REGRESSION WITH MANY EXPLANATORY VARIABLES The method of multiple regression that we have studied through the use of the two explanatory variable life expectancies example can be extended

More information

Laird Thermal Systems Application Note. Precise Temperature Control for Medical Analytical, Diagnostic and Instrumentation Equipment

Laird Thermal Systems Application Note. Precise Temperature Control for Medical Analytical, Diagnostic and Instrumentation Equipment Laird Thermal Systems Application Note Precise Temperature Control for Medical Analytical, Diagnostic and Instrumentation Equipment Contents Overview...3 Thermal Management Techniques...3 Application Examples...3

More information

Chapter 1 Linear Equations

Chapter 1 Linear Equations . Lines. True. True. If the slope of a line is undefined, the line is vertical. 7. The point-slope form of the equation of a line x, y is with slope m containing the point ( ) y y = m ( x x ). Chapter

More information

D. B. FZRGUSON. Swift & Company Chicago, Illinois

D. B. FZRGUSON. Swift & Company Chicago, Illinois VALUE OF ANLMAL BY-PRODUCTS* D. B. FZRGUSON Swift & Company Chicago, Illinois The topic assigned to me was simply "Value of Animal By-Products.'' Like many other English words, the word value can have

More information

Chapter 2 - Lessons 1 & 2 Studying Geography, Economics

Chapter 2 - Lessons 1 & 2 Studying Geography, Economics Chapter 2 - Lessons 1 & 2 Studying Geography, Economics How does geography influence the way people live? Why do people trade? Why do people form governments? Lesson 1 - How Does Geography Influence the

More information

Section 4.1 Solving Systems of Linear Inequalities

Section 4.1 Solving Systems of Linear Inequalities Section 4.1 Solving Systems of Linear Inequalities Question 1 How do you graph a linear inequality? Question 2 How do you graph a system of linear inequalities? Question 1 How do you graph a linear inequality?

More information

CHAPTER 6. WORK DESIGN and ORGANIZATIONAL PERFORMANCE, WORK MEASUREMENT

CHAPTER 6. WORK DESIGN and ORGANIZATIONAL PERFORMANCE, WORK MEASUREMENT CHAPTER 6 WORK DESIGN and ORGANIZATIONAL PERFORMANCE, WORK MEASUREMENT 1 Organizational productivity is simply a measurement of an organization s ability to turn inputs into outputs. Productiv ity = Outputs

More information

Bryco Machine Welcomes SME and AME. October 1, 2008

Bryco Machine Welcomes SME and AME. October 1, 2008 Bryco Machine Welcomes SME and AME October 1, 2008 2008 Type of Shop Leading precision machining contract manufacturer Manufacturer of complex parts that require state-of-the-art equipment and high level

More information

SECTION D Monitoring plan as required in Annex VII of Directive 2001/18/EC

SECTION D Monitoring plan as required in Annex VII of Directive 2001/18/EC SECTION D Monitoring plan as required in Annex VII of Directive 2001/18/EC Type of monitoring plan The monitoring plan described in the submission is based on general surveillance. We believe this is a

More information

COLLEGE ALGEBRA. Linear Functions & Systems of Linear Equations

COLLEGE ALGEBRA. Linear Functions & Systems of Linear Equations COLLEGE ALGEBRA By: Sister Mary Rebekah www.survivormath.weebly.com Cornell-Style Fill in the Blank Notes and Teacher s Key Linear Functions & Systems of Linear Equations 1 2 Slope & the Slope Formula

More information

Algebra 1 Fall Semester Final Review Name

Algebra 1 Fall Semester Final Review Name It is very important that you review for the Algebra Final. Here are a few pieces of information you want to know. Your Final is worth 20% of your overall grade The final covers concepts from the entire

More information

Queuing Analysis. Chapter Copyright 2010 Pearson Education, Inc. Publishing as Prentice Hall

Queuing Analysis. Chapter Copyright 2010 Pearson Education, Inc. Publishing as Prentice Hall Queuing Analysis Chapter 13 13-1 Chapter Topics Elements of Waiting Line Analysis The Single-Server Waiting Line System Undefined and Constant Service Times Finite Queue Length Finite Calling Problem The

More information

Global Coal Bed Methane (CBM) Market Professional Survey Report 2016

Global Coal Bed Methane (CBM) Market Professional Survey Report 2016 Published on Market Research Reports Inc. (https://www.marketresearchreports.com) Home > Global Coal Bed Methane (CBM) Market Professional Survey Report 2016 Global Coal Bed Methane (CBM) Market Professional

More information

PENNSYLVANIA DEPARTMENT OF EDUCATION CHILD AND ADULT CARE FOOD PROGRAM CHILD CARE CENTER MONITOR REPORT

PENNSYLVANIA DEPARTMENT OF EDUCATION CHILD AND ADULT CARE FOOD PROGRAM CHILD CARE CENTER MONITOR REPORT PENNSYLVANIA DEPARTMENT OF EDUCATION CHILD AND ADULT CARE FOOD PROGRAM CHILD CARE CENTER MONITOR REPORT Date of Visit Name of Center Center Address Type of visit: Announced Unannounced First 4-Week Visit

More information

Algebra 2 Level 2 Summer Packet

Algebra 2 Level 2 Summer Packet Algebra Level Summer Packet This summer packet is for students entering Algebra Level for the Fall of 01. The material contained in this packet represents Algebra 1 skills, procedures and concepts that

More information

********************************************************************************************************

******************************************************************************************************** QUESTION # 1 1. Let the random variable X represent the number of telephone lines in use by the technical support center of a software manufacturer at noon each day. The probability distribution of X is

More information

Process Design Decisions and Project Economics Prof. Dr. V. S. Moholkar Department of Chemical Engineering Indian Institute of Technology, Guwahati

Process Design Decisions and Project Economics Prof. Dr. V. S. Moholkar Department of Chemical Engineering Indian Institute of Technology, Guwahati Process Design Decisions and Project Economics Prof. Dr. V. S. Moholkar Department of Chemical Engineering Indian Institute of Technology, Guwahati Module - 2 Flowsheet Synthesis (Conceptual Design of

More information

Optimization Methods in Management Science

Optimization Methods in Management Science Problem Set Rules: Optimization Methods in Management Science MIT 15.053, Spring 2013 Problem Set 1 (Second Group of Students) Students with first letter of surnames G Z Due: February 12, 2013 1. Each

More information

Math 120 Final Exam Practice Problems, Form: A

Math 120 Final Exam Practice Problems, Form: A Math 120 Final Exam Practice Problems, Form: A Name: While every attempt was made to be complete in the types of problems given below, we make no guarantees about the completeness of the problems. Specifically,

More information

Sample Header for slide

Sample Header for slide Sample Header for slide Consultants in Geology and Engineering North Rim Strategic Sourcing Tabetha Stirrett, P. Geo. October 22, 2014 Outline Exploration Phases in the mining industry How North Rim is

More information

c. Solve the system of two equations to find the speed of the boat in the water (x) and the speed of the current (y). (0.45, 0.05)

c. Solve the system of two equations to find the speed of the boat in the water (x) and the speed of the current (y). (0.45, 0.05) Math Applications The applications that follow are like the ones you will encounter in many workplaces. Use the mathematics you have learned in this chapter to solve the problems. Wherever possible, use

More information

Bike Plast DD some remarks

Bike Plast DD some remarks Roberto Cigolini roberto.cigolini@polimi.it Department of Management, Economics and Industrial Engineering Politecnico di Milano 1 Evaluate the analysis carried out by the Plant Director and comment on

More information

2 Functions and Their

2 Functions and Their CHAPTER Functions and Their Applications Chapter Outline Introduction The Concept of a Function Types of Functions Roots (Zeros) of a Function Some Useful Functions in Business and Economics Equilibrium

More information

3. Chemical Hygiene Plan: Laboratory Standard Operating Procedures. A. Laboratory Specific Information and Signatures

3. Chemical Hygiene Plan: Laboratory Standard Operating Procedures. A. Laboratory Specific Information and Signatures 3. Chemical Hygiene Plan: Laboratory Standard Operating Procedures A. Laboratory Specific Information and Signatures The Chemical Hygiene Plan: Laboratory Standard Operating Procedures (section 3 only),

More information

Looking Ahead to Chapter 4

Looking Ahead to Chapter 4 Looking Ahead to Chapter Focus In Chapter, you will learn about functions and function notation, and you will find the domain and range of a function. You will also learn about real numbers and their properties,

More information

Unit 1: Introduction to Variables

Unit 1: Introduction to Variables Section 1.1: Writing Algebraic Expressions Section 1.2: The Story of x Section 1.3: Evaluating Algebraic Expressions Section 1.4: Applications Section 1.5: Geometric Formulas KEY TERMS AND CONCEPTS Look

More information

Putting the U.S. Geospatial Services Industry On the Map

Putting the U.S. Geospatial Services Industry On the Map Putting the U.S. Geospatial Services Industry On the Map December 2012 Definition of geospatial services and the focus of this economic study Geospatial services Geospatial services industry Allow consumers,

More information

5, 0. Math 112 Fall 2017 Midterm 1 Review Problems Page Which one of the following points lies on the graph of the function f ( x) (A) (C) (B)

5, 0. Math 112 Fall 2017 Midterm 1 Review Problems Page Which one of the following points lies on the graph of the function f ( x) (A) (C) (B) Math Fall 7 Midterm Review Problems Page. Which one of the following points lies on the graph of the function f ( ) 5?, 5, (C) 5,,. Determine the domain of (C),,,, (E),, g. 5. Determine the domain of h

More information

Trip Generation Characteristics of Super Convenience Market Gasoline Pump Stores

Trip Generation Characteristics of Super Convenience Market Gasoline Pump Stores Trip Generation Characteristics of Super Convenience Market Gasoline Pump Stores This article presents the findings of a study that investigated trip generation characteristics of a particular chain of

More information

LINEAR PROGRAMMING. Lessons 28. Lesson. Overview. Important Terminology. Making inequalities (constraints)

LINEAR PROGRAMMING. Lessons 28. Lesson. Overview. Important Terminology. Making inequalities (constraints) LINEAR PROGRAMMING Learning Outcomes and Assessment Standards Learning Outcome 2: Functions and algebra Assessment Standard 12.2.8 Solve linear programming problems by optimising a function in two variables,

More information

Intermediates. THF Solutions. Expanded Tetrahydrofuran Offer for Pharma Customers in Europe

Intermediates. THF Solutions. Expanded Tetrahydrofuran Offer for Pharma Customers in Europe Intermediates THF Solutions Expanded Tetrahydrofuran Offer for Pharma Customers in Europe BASF We create chemistry About BASF At BASF, we create chemistry and have been doing so for 150 years. Our portfolio

More information

Math Introduction to Operations Research

Math Introduction to Operations Research Math 30210 Introduction to Operations Research Assignment 1 (50 points total) Due before class, Wednesday September 5, 2007 Instructions: Please present your answers neatly and legibly. Include a cover

More information

Sustainable technology leads to a more attractive shopping experience

Sustainable technology leads to a more attractive shopping experience Dear colleagues, With great pleasure I like to inform you about the opening of the new METRO St. Pölten Store - the 1 st zero-energy-building in the wholesale market on October 23 rd, 2017. St. Pölten

More information

AP STATISTICS Name: Period: Review Unit IV Scatterplots & Regressions

AP STATISTICS Name: Period: Review Unit IV Scatterplots & Regressions AP STATISTICS Name: Period: Review Unit IV Scatterplots & Regressions Know the definitions of the following words: bivariate data, regression analysis, scatter diagram, correlation coefficient, independent

More information

Math Applications 544

Math Applications 544 Math Applications The applications that follow are like the ones you will encounter in many workplaces. Use the mathematics you have learned in this chapter to solve the problems. Wherever possible, use

More information

Using numbers in care work SAMPLE. Part of the Learning through Work series

Using numbers in care work SAMPLE. Part of the Learning through Work series Using numbers in care work ml Part of the Learning through Work series Numbers in care work We use numbers at work in many ways: Daily care tasks Monitoring changes in people s health and well-being (to

More information

SIMATIC Ident Industrial Identification Systems

SIMATIC Ident Industrial Identification Systems Related catalogs SIMATIC Ident Industrial Identification Systems Catalog ID 10 2012 Introduction System overview SIMATIC Ident 1 RFID systems for the HF frequency range SIMATIC RF200 SIMATIC RF300 MOBY

More information

Chapter 5: Writing Linear Equations Study Guide (REG)

Chapter 5: Writing Linear Equations Study Guide (REG) Chapter 5: Writing Linear Equations Study Guide (REG) 5.1: Write equations of lines given slope and y intercept or two points Write the equation of the line with the given information: Ex: Slope: 0, y

More information

Study Unit 3 : Linear algebra

Study Unit 3 : Linear algebra 1 Study Unit 3 : Linear algebra Chapter 3 : Sections 3.1, 3.2.1, 3.2.5, 3.3 Study guide C.2, C.3 and C.4 Chapter 9 : Section 9.1 1. Two equations in two unknowns Algebraically Method 1: Elimination Step

More information

Topic 1. Solving Equations and Inequalities 1. Solve the following equation

Topic 1. Solving Equations and Inequalities 1. Solve the following equation Topic 1. Solving Equations and Inequalities 1. Solve the following equation Algebraically 2( x 3) = 12 Graphically 2( x 3) = 12 2. Solve the following equations algebraically a. 5w 15 2w = 2(w 5) b. 1

More information

CP:

CP: Adeng Pustikaningsih, M.Si. Dosen Jurusan Pendidikan Akuntansi Fakultas Ekonomi Universitas Negeri Yogyakarta CP: 08 222 180 1695 Email : adengpustikaningsih@uny.ac.id Operations Management Forecasting

More information

MODELING (Integer Programming Examples)

MODELING (Integer Programming Examples) MODELING (Integer Programming Eamples) IE 400 Principles of Engineering Management Integer Programming: Set 5 Integer Programming: So far, we have considered problems under the following assumptions:

More information

Why Humans Can t Live Off Sunlight By ReadWorks

Why Humans Can t Live Off Sunlight By ReadWorks Why Humans Can t Live Off Sunlight Why Humans Can t Live Off Sunlight By ReadWorks In 2013, a resident of Seattle, Washington, named Naveena Shine decided that she would embark on an experiment. Shine

More information

EDEXCEL S2 PAPERS MARK SCHEMES AVAILABLE AT:

EDEXCEL S2 PAPERS MARK SCHEMES AVAILABLE AT: EDEXCEL S2 PAPERS 2009-2007. MARK SCHEMES AVAILABLE AT: http://www.physicsandmathstutor.com/a-level-maths-papers/s2-edexcel/ JUNE 2009 1. A bag contains a large number of counters of which 15% are coloured

More information

Chapter 3: Examining Relationships

Chapter 3: Examining Relationships Chapter 3 Review Chapter 3: Examining Relationships 1. A study is conducted to determine if one can predict the yield of a crop based on the amount of yearly rainfall. The response variable in this study

More information

I22. EARLE W. KLOSTERMAN Ohio A g r i c u l t u r a l Research and Development Center Wooster, Ohio

I22. EARLE W. KLOSTERMAN Ohio A g r i c u l t u r a l Research and Development Center Wooster, Ohio I22 BODY SIZE AND PRODUCTION EFFICIENCY* EARLE W. KLOSTERMAN Ohio A g r i c u l t u r a l Research and Development Center Wooster, Ohio Beef c a t t l e s e l e c t i o n and performance t e s t i n g

More information

PROJECT MANAGEMENT CHAPTER 1

PROJECT MANAGEMENT CHAPTER 1 PROJECT MANAGEMENT CHAPTER 1 Project management is the process and activity of planning, organizing, motivating, and controlling resources, procedures and protocols to achieve specific goals in scientific

More information

Optimization Methods in Management Science

Optimization Methods in Management Science Problem Set Rules: Optimization Methods in Management Science MIT 15.053, Spring 2013 Problem Set 1 (First Group of Students) Students with first letter of surnames A F Due: February 12, 2013 1. Each student

More information

Systems of Equations Unit Five ONE NONE INFINITE

Systems of Equations Unit Five ONE NONE INFINITE Systems of Equations Unit Five ONE NONE INFINITE Standards: 8.EE.8 Analyze and solve pairs of simultaneous linear equations. a. Understand that solutions to a system of two linear equations in two variables

More information

Mathematics Practice Test 2

Mathematics Practice Test 2 Mathematics Practice Test 2 Complete 50 question practice test The questions in the Mathematics section require you to solve mathematical problems. Most of the questions are presented as word problems.

More information

Knowing when you'll be done

Knowing when you'll be done Section 1.7: Time-to-maturity calculations Section 1.8: Ination MATH 105: Contemporary Mathematics University of Louisville September 5, 2017 Determining timeframe for account growth 2 / 19 Knowing when

More information

MA Lesson 29 Notes

MA Lesson 29 Notes MA 15910 Lesson 9 Notes Absolute Maximums or Absolute Minimums (Absolute Extrema) in a Closed Interval: Let f be a continuous function on a closed interval [a, b].. Let c be a number in that interval.

More information

Math 112 Spring 2018 Midterm 1 Review Problems Page 1

Math 112 Spring 2018 Midterm 1 Review Problems Page 1 Math Spring 8 Midterm Review Problems Page Note: Certain eam questions have been more challenging for students. Questions marked (***) are similar to those challenging eam questions.. Which one of the

More information

Green Chemistry Member Survey April 2014

Green Chemistry Member Survey April 2014 Green Chemistry Member Survey April 2014 www.greenchemistryandcommerce.org Summary In 2014, the Green Chemistry & Commerce Council surveyed its business members to gain a better understanding of their

More information

56:270 Final Exam - May

56:270  Final Exam - May @ @ 56:270 Linear Programming @ @ Final Exam - May 4, 1989 @ @ @ @ @ @ @ @ @ @ @ @ @ @ Select any 7 of the 9 problems below: (1.) ANALYSIS OF MPSX OUTPUT: Please refer to the attached materials on the

More information

General Mathematics 2018 Chapter 5 - Matrices

General Mathematics 2018 Chapter 5 - Matrices General Mathematics 2018 Chapter 5 - Matrices Key knowledge The concept of a matrix and its use to store, display and manipulate information. Types of matrices (row, column, square, zero, identity) and

More information

AS R E L A T E D TO I M B I B E D WATER

AS R E L A T E D TO I M B I B E D WATER P H Y S I C A L C H A R A C T E R I S T I C S OF MUSCLE T I S S U E S AS R E L A T E D TO I M B I B E D WATER In reviewing the discussions of t h i s Conference r e l a t i n g t o meat hydration and meat

More information

Chapter 7 Forecasting Demand

Chapter 7 Forecasting Demand Chapter 7 Forecasting Demand Aims of the Chapter After reading this chapter you should be able to do the following: discuss the role of forecasting in inventory management; review different approaches

More information

SheerSense. Independent Distributor. Compensation Plan

SheerSense. Independent Distributor. Compensation Plan SheerSense Independent Compensation Plan Two Ways to Earn Income 1. Sales Income & 2. Commission Income It All Begins With A Demonstration & A Choice to Become a Customer or a Guest Guest Guests May Choose

More information

Economics 312: Urban Land Economics University of Victoria Midterm Examination #1 VERSION 1 SOLUTIONS Spring 2018 Instructor: Martin Farnham

Economics 312: Urban Land Economics University of Victoria Midterm Examination #1 VERSION 1 SOLUTIONS Spring 2018 Instructor: Martin Farnham Economics 312: Urban Land Economics University of Victoria Midterm Examination #1 VERSION 1 SOLUTIONS Spring 2018 Instructor: Martin Farnham Midterm Exam #1 Section 1: Multiple Choice (2 points each) Unless

More information

download instant at

download instant at Answers to Odd-Numbered Exercises Chapter One: An Overview of Regression Analysis 1-3. (a) Positive, (b) negative, (c) positive, (d) negative, (e) ambiguous, (f) negative. 1-5. (a) The coefficients in

More information

BRITISH VIRGIN ISLANDS SECTORAL GROSS DOMESTIC PRODUCT MARKET PRICES (current prices) (US$M)

BRITISH VIRGIN ISLANDS SECTORAL GROSS DOMESTIC PRODUCT MARKET PRICES (current prices) (US$M) SECTORAL GROSS DOMESTIC PRODUCT MARKET PRICES (current prices) Sector 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000r 2001r 2002r 2003r 2004r 2005e Agriculture, Hunting & Forestry 1.36 1.50 1.63 1.77

More information

Chapter 5. Transmission networks and electricity markets

Chapter 5. Transmission networks and electricity markets Chapter 5. Transmission networks and electricity markets 1 Introduction In most of the regions of the world: assumptions that electrical energy can be traded as if all generators were connected to the

More information

Programmers A B C D Solution:

Programmers A B C D Solution: P a g e Q: A firm has normally distributed forecast of usage with MAD=0 units. It desires a service level, which limits the stock, out to one order cycle per year. Determine Standard Deviation (SD), if

More information

SYMBIOSIS CENTRE FOR DISTANCE LEARNING (SCDL) Subject: production and operations management

SYMBIOSIS CENTRE FOR DISTANCE LEARNING (SCDL) Subject: production and operations management Sample Questions: Section I: Subjective Questions 1. What are the inputs required to plan a master production schedule? 2. What are the different operations schedule types based on time and applications?

More information

SALES AND MARKETING Department MATHEMATICS. 2nd Semester. Bivariate statistics. Tutorials and exercises

SALES AND MARKETING Department MATHEMATICS. 2nd Semester. Bivariate statistics. Tutorials and exercises SALES AND MARKETING Department MATHEMATICS 2nd Semester Bivariate statistics Tutorials and exercises Online document: http://jff-dut-tc.weebly.com section DUT Maths S2. IUT de Saint-Etienne Département

More information

Trimester 2 Final Practice CC 7/8 Date Period. Unit Rates (7.RP.1)

Trimester 2 Final Practice CC 7/8 Date Period. Unit Rates (7.RP.1) Trimester 2 Final Practice Name CC 7/8 Date Period Unit Rates (7.RP.1) 1. This diagram shows how much apple juice is mixed with carrot juice for a recipe. How many cups of apple juice are used for 1 cup

More information

Duration of online examination will be of 1 Hour 20 minutes (80 minutes).

Duration of online examination will be of 1 Hour 20 minutes (80 minutes). Program Name: SC Subject: Production and Operations Management Assessment Name: POM - Exam Weightage: 70 Total Marks: 70 Duration: 80 mins Online Examination: Online examination is a Computer based examination.

More information

You are permitted to use your own calculator where it has been stamped as approved by the University.

You are permitted to use your own calculator where it has been stamped as approved by the University. ECONOMICS TRIPOS Part I Friday 11 June 004 9 1 Paper 3 Quantitative Methods in Economics This exam comprises four sections. Sections A and B are on Mathematics; Sections C and D are on Statistics. You

More information

ST. JOSEPH S COLLEGE OF ARTS & SCIENCE (AUTONOMOUS) CUDDALORE-1

ST. JOSEPH S COLLEGE OF ARTS & SCIENCE (AUTONOMOUS) CUDDALORE-1 ST. JOSEPH S COLLEGE OF ARTS & SCIENCE (AUTONOMOUS) CUDDALORE-1 SUB:OPERATION RESEARCH CLASS: III B.SC SUB CODE:EMT617S SUB INCHARGE:S.JOHNSON SAVARIMUTHU 2 MARKS QUESTIONS 1. Write the general model of

More information

The Vietnam urban food consumption and expenditure study

The Vietnam urban food consumption and expenditure study The Centre for Global Food and Resources The Vietnam urban food consumption and expenditure study Factsheet 5: Where do consumers buy different food items? As Fact Sheet 4 highlights, food retailing is

More information

MARTINSON AG. Jan. 5, 2018 WHEAT

MARTINSON AG. Jan. 5, 2018 WHEAT MARTINSON AG Jan. 5, 2018 WHEAT Wheat started the short week with strength and closing with solid gains. Early support came from the past weekend s extremely cold temps, as even KS and OK reported temps

More information

Part 1 - Multiple Choice Graphing Calculators or on-line graphing tools are permitted Circle the correct letter response

Part 1 - Multiple Choice Graphing Calculators or on-line graphing tools are permitted Circle the correct letter response 1 MATH 30S APPLIED FINAL EXAM REVIEW ANSWERS TO SELECTION OF TYPICAL QUESTIONS Part 1 - Multiple Choice Graphing Calculators or on-line graphing tools are permitted Circle the correct letter response 1.

More information

2. Tell which graph corresponds to person 1 in Table 1-9.2b above.

2. Tell which graph corresponds to person 1 in Table 1-9.2b above. 1. An architect charges $1800 for a first draft of a three-bedroom house. If the work takes longer than 8 hours, the architect charges $105 for each additional hour. What would be the total cost for a

More information

How Power is Restored After a Severe Storm. Presented by Stacy Shaw, Safety Director & Nolan Hartzler, GIS Mapping Technician

How Power is Restored After a Severe Storm. Presented by Stacy Shaw, Safety Director & Nolan Hartzler, GIS Mapping Technician How Power is Restored After a Severe Storm Presented by Stacy Shaw, Safety Director & Nolan Hartzler, GIS Mapping Technician Hurricanes, ice storms, tornadoes One inch of ice on a single span of electric

More information