Economic Order Model With Quadratic Backorder Costs
|
|
- Job Pope
- 6 years ago
- Views:
Transcription
1 International Journal of scientific research and management (IJSRM) Volume Issue 1 Pages Website: ISSN (e): Economic Order Model With Quadratic Bacorder Costs Dr. Martin Osawaru Omorodion, Mr. Ayinde, Oladunmi Moses Joseph Ayo Babalola University IejiAraeji, Osun State, Nigeria odionmart@yahoo.com ABSTRACT Joseph Ayo Babalola University IejiAraeji Osun State, Nigeria yahoo.com The paper considers bacorder costs as a quadratic cost depending on the length of time of the bacorder. The quantity ordered is Q and the reorder level is R. We assume that the bacorder cost C β (t) is b 1 b t b 3 t. Where b 1, b and b 3 are the coefficients with respect to t, t 1 e and t, The equations for the linear cost is derived first in section 1 by deriving the expected bacorder cost per cycle using the assumption that demand follows the normal distribution. We extend the method of analysis to derive the bacorder costs when the bacorder costs is a quadratic function of the length of time of a bacorder. The additional costs to the incurred by the linear costs to the costs that is not time dependent is.economic ORDER MODEL WITH QUADRATIC BACKORDER COSTS. INTRODUCTION In this paper, the cost depending upon the length of time for which the bacorder exists is taen as a quadratic cost. Without inventories customers would have to wait until their orders were filled from a source or were manufactured. The time lag could be a quadratic cost. The longer it taes to meet the order the more severe the bacorder costs. The paper considers the economic model (Q,R). LITERATURE REVIEW The simple models of economic bacorder inventory control were extensively dealt with by Hatdley and Whitin (1) Uthayaumar and Parvathi () investigates a continuous review inventory model to reduce lead time, yield variability and set up costs simultaneously through capital investments. The bacorder rate is depending on the lead time through the amount of shortage. Zhang G.U. and B.E. Dathwu (3) develops a hybrid inventory system with a time limit in bacorders. BASIC MATHEMATICS ( Well dealt with in Ref (1) (Hatley and Whitin) Let x Ɲ(0, 1) and g( be the probability density function. and g ( Integrating by parts If n 0 If n 1 x1 x F( n 1 n1 x g( dx n 1 F ( dx F( ) g( ) xf( dx B. 1. LINEAR BACKORDER COST g( ) F ( ) B.1 1 F( ) g ( ). 1 Let be the cost of a bacorder which has been outstanding for time t. Dr. Martin Osawaru Omorodion, IJSRM volume issue 1 Jan 014 [ Page 517
2 If a bacorder is incurred at time z, z< L then L z is the time for which a bacorder exists. Let Ry, 0< y<q be the inventory level at time 0, then if the system is out of stoc in the time interval z, to Zdz after the reorder point R is reached then Ry was demanded in time Z and a demand occurred in time dz. This probability is 1.1 exp Hence the probability that t L Z, Length of time of a bacorder Giving an inventory level R y at time 0 Expected cost of bacorder 0 < z < L Hence the expected bacorder cost per cycle Expected bacorder costs 1.5 Integrating and noting that R Vg( V ) g( R) We have the expected bacorder costs equal to D 1. For the linear bacorder cost function When the cost function is linear Assume that F 1.6 Then the expected bacorder costs equals dy and substituting into 1., expected bacorder cost per cycle Noting that Then expected bacorder costs equals Expected bacorder costs per cycle 1.4 Let V Then expected bacorder equals Letting v Dr. Martin Osawaru Omorodion, IJSRM volume issue 1 Jan 014 [ Page 518
3 1.8 using B1 and B. equations and integrating, the expected bacorder costs equals ( ) ( b1 bl b3l ) R Y LV D g(v)dvdy 1.9, the expected bacorder costs B (Q, R). Integrating with respect to v And applying B1 and B ( ) )*. QUADRATIC BACKORDER COST We shall extend this method of analysis to derive the bacorder costs when the bacorder cost is a function of the length of time of a bacorder.1 Expected bacorder costs per cycle and applying equation Assuming that F, expected bacorder cost per cycle *F 3 Let v Then we have Dr. Martin Osawaru Omorodion, IJSRM volume issue 1 Jan 014 [ Page 519
4 .4 Then we have rearranging.7 Integrating and applying B1 and B. we have.5 Noting that And noting that Then substituting into 5 We have.8.6 Dr. Martin Osawaru Omorodion, IJSRM volume issue 1 Jan 014 [ Page 50
5 .13 Substituting.9 letting L ( V ) 1 v F v vg v.10 Then we have expected bacorders per cycle to be.11 CONCLUSION With the only additional cost to the linear cost C β b 1 b t being the b factor: b Q / L DQ And the additional cost of the linear to the cost without length of time of shortage is Db Q 1 Q L b Db1 Since, the additional costs of the quadratic DQ Q cost to the linear cost is far less than the additional cost of the linear cost to the cost that is not time dependent. Hence expected bacorder costs per year.1 Hence from.6.8 the inventory costs for model (Q, R) with quadratic bacorder cost terms and C REFERENCES 1.Hadley G and Whitin T.M. Analysis of Inventory Systems, PrenticeHall International, Inc, Englewood Cliffs, N.T Uthayaumar R and Parvathi P. Continuous Review Inventory Model International Journal of System Science Vol 10 Issue 3, 7, Zhang G.P, Patuno B.E.(A Hybrid Inventory System with a Time Limit or Bacorder), Transactions of Industrial Engineers, 003. Q L Dr. Martin Osawaru Omorodion, IJSRM volume issue 1 Jan 014 [ Page 51
Inventory Model (Q, R) With Period of Grace, Quadratic Backorder Cost and Continuous Lead Time
American Journal of Enineerin esearch AJE 5 American Journal of Enineerin esearch AJE e-issn: -87 p-issn : -96 olume- Issue-5 pp-8-9 www.aer.or esearch Paper Open Access Inventory Model With Period of
More informationPAijpam.eu ON FUZZY INVENTORY MODEL WITH ALLOWABLE SHORTAGE
International Journal of Pure and Applied Mathematics Volume 99 No. 205, 5-7 ISSN: 3-8080 (printed version; ISSN: 34-3395 (on-line version url: http://www.ijpam.eu doi: http://dx.doi.org/0.2732/ijpam.v99i.
More informationISyE 6201: Manufacturing Systems Instructor: Spyros Reveliotis Spring 2006 Solutions to Homework 1
ISyE 601: Manufacturing Systems Instructor: Spyros Reveliotis Spring 006 Solutions to Homework 1 A. Chapter, Problem 4. (a) D = 60 units/wk 5 wk/yr = 310 units/yr h = ic = 0.5/yr $0.0 = $0.005/ yr A =
More informationFUZZY CONTINUOUS REVIEW INVENTORY MODEL WITHOUT BACKORDER FOR DETERIORATING ITEMS. Ajanta Roy *, G.P. Samanta
Electronic Journal of Applied Statistical Analysis EJASA, Electron. J. App. Stat. Anal. Vol., Issue 1 (9), 58 66 ISSN 7-5948, DOI 1.185/i75948vn1p58 8 Università del Salento SIBA http://siba-ese.unile.it/index.php/ejasa/index
More informationOn the Convexity of Discrete (r, Q) and (s, T ) Inventory Systems
On the Convexity of Discrete r, Q and s, T Inventory Systems Jing-Sheng Song Mingzheng Wang Hanqin Zhang The Fuqua School of Business, Duke University, Durham, NC 27708, USA Dalian University of Technology,
More informationResearch Article Fuzzy Constrained Probabilistic Inventory Models Depending on Trapezoidal Fuzzy Numbers
Fuzzy Systems Volume 2016, Article ID 3673267, 10 pages http://dx.doi.org/10.1155/2016/3673267 Research Article Fuzzy Constrained Probabilistic Inventory Models Depending on Trapezoidal Fuzzy Numbers Mona
More informationMulti level inventory management decisions with transportation cost consideration in fuzzy environment. W. Ritha, S.
Annals of Fuzzy Mathematics and Informatics Volume 2, No. 2, October 2011, pp. 171-181 ISSN 2093 9310 http://www.afmi.or.kr @FMI c Kyung Moon Sa Co. http://www.kyungmoon.com Multi level inventory management
More informationAn easy approach to derive EOQ and EPQ models with shortage and. defective items
An easy approach to derive EOQ and EPQ models with shortage and defective items Hsin-Fan Chen 1, Yung-Fu Huang,*, Yu-Cheng Tu 3 and Ming-Hon Hwang 4 1,,3,4 Department of Mareting and Logistics Management,
More informationOptimal ordering policies for periodic-review systems with replenishment cycles
European Journal of Operational Research 17 (26) 44 56 Production, Manufacturing and Logistics Optimal ordering policies for periodic-review systems with replenishment cycles Chi Chiang * Department of
More informationMixture inventory model in fuzzy demand with controllable lead time
Mixture inventory model in fuzzy demand with controllable lead time Jason Chao-Hsien Pan Department of Industrial Management National Taiwan University of Science and Technology Taipei 106 Taiwan R.O.C.
More informationAPPLYING SIGNED DISTANCE METHOD FOR FUZZY INVENTORY WITHOUT BACKORDER. Huey-Ming Lee 1 and Lily Lin 2 1 Department of Information Management
International Journal of Innovative Computing, Information and Control ICIC International c 2011 ISSN 1349-4198 Volume 7, Number 6, June 2011 pp. 3523 3531 APPLYING SIGNED DISTANCE METHOD FOR FUZZY INVENTORY
More informationOptimal and Heuristic Echelon ( r, nq, T ) Policies in Serial Inventory Systems with Fixed Costs
OPERATIONS RESEARCH Vol. 58, No. 2, March April 2010, pp. 414 427 issn 0030-364X eissn 1526-5463 10 5802 0414 informs doi 10.1287/opre.1090.0734 2010 INFORMS Optimal and Heuristic Echelon ( r, nq, T )
More informationImproving Supply Chain Performance: Real-Time Demand Information and Flexible Deliveries
Improving Supply Chain Performance: Real-Time Demand Information and Flexible Deliveries Kevin H. Shang Sean X. Zhou Geert-Jan van Houtum The Fuqua School of Business, Duke University, Durham, North Carolina
More informationInternational Journal of Supply and Operations Management
International Journal of Supply and Operations Management IJSOM May 08, Volume 5, Issue, pp. 6-8 ISSN-Print: 8-59 ISSN-Online: 8-55 www.ijsom.com The Quadratic Approximation of an Inflationary Bi-objective
More informationStochastic (Random) Demand Inventory Models
Stochastic (Random) Demand Inventory Models George Liberopoulos 1 The Newsvendor model Assumptions/notation Single-period horizon Uncertain demand in the period: D (parts) assume continuous random variable
More informationAn Inventory Model for Gompertz Distribution Deterioration Rate with Ramp Type Demand Rate and Shortages
International Journal of Statistics and Systems ISSN 0973-675 Volume, Number (07), pp. 363-373 Research India Publications http://www.ripublication.com An Inventory Model for Gompertz Distribution Deterioration
More informationMixture Distributions for Modeling Lead Time Demand in Coordinated Supply Chains. Barry Cobb. Alan Johnson
Mixture Distributions for Modeling Lead Time Demand in Coordinated Supply Chains Barry Cobb Virginia Military Institute Alan Johnson Air Force Institute of Technology AFCEA Acquisition Research Symposium
More informationOptimal lot sizing for deteriorating items with expiration date
Optimal lot sizing for deteriorating items with expiration date Ping-Hui Hsu 1 Hui Ming Wee Hui-Ming Teng 3 1, Department of Industrial Engineering Chung Yuan Christian University Chungli Taiwan R.O.C.
More informationDefinition: If y = f(x), then. f(x + x) f(x) y = f (x) = lim. Rules and formulas: 1. If f(x) = C (a constant function), then f (x) = 0.
Definition: If y = f(x), then Rules and formulas: y = f (x) = lim x 0 f(x + x) f(x). x 1. If f(x) = C (a constant function), then f (x) = 0. 2. If f(x) = x k (a power function), then f (x) = kx k 1. 3.
More informationInventory policies in continuous review systems: evaluation and estimation
Inventory policies in continuous review systems: evaluation and estimation by Christos Tziourtzioumis A thesis submitted for the degree of Doctor of Philosophy Department of Economics University of Thessaly
More informationBuyer - Vendor incentive inventory model with fixed lifetime product with fixed and linear back orders
National Journal on Advances in Computing & Management Vol. 5 No. 1 April 014 1 Buyer - Vendor incentive inventory model with fixed lifetime product with fixed and linear back orders M.Ravithammal 1 R.
More informationCHAPTER IX OPTIMIZATION OF INTEGRATED VENDOR-BUYER PRODUCTION INVENTORY MODEL WITH BACKORDERING WITH TRANSPORTATION COST IN AN UNCERTAIN ENVIRONMENT
CHAPTER IX OPTIMIZATION OF INTEGRATED VENDOR-BUYER PRODUCTION INVENTORY MODEL WITH BACKORDERING WITH TRANSPORTATION COST IN AN UNCERTAIN ENVIRONMENT This chapter develops an integrated single-vendor, single-uyer
More informationSection 1.3: A Simple Inventory System
Section 1.3: A Simple Inventory System Discrete-Event Simulation: A First Course c 2006 Pearson Ed., Inc. 0-13-142917-5 Discrete-Event Simulation: A First Course Section 1.3: A Simple Inventory System
More informationLecture 1: Introduction to IO Tom Holden
Lecture 1: Introduction to IO Tom Holden http://io.tholden.org/ Email: t.holden@surrey.ac.uk Standard office hours: Thursday, 12-1PM + 3-4PM, 29AD00 However, during term: CLASSES will be run in the first
More informationAPPLICABILITY OF DETERMINISTIC INVENTORY MODELS TO SOLVE STOCHASTIC INVENTORY SYSTEMS A THESIS. Presented to. The Faculty of the Division of Graduate
APPLICABILITY OF DETERMINISTIC INVENTORY MODELS TO SOLVE STOCHASTIC INVENTORY SYSTEMS A THESIS Presented to The Faculty of the Division of Graduate Studies and Research By Orlando Enrique Medina Benatuil
More informationFuzzy Inventory Control Problem With Weibull Deterioration Rate and Logarithmic Demand Rate
Volume 7 No. 07, 5-44 ISSN: -8080 (printed version); ISSN: 4-95 (on-line version) url: http://www.ijpam.eu ijpam.eu Fuzzy Inventory Control Problem With Weibull Deterioration Rate and Logarithmic Demand
More informationM/M/1 Queueing systems with inventory
Queueing Syst 2006 54:55 78 DOI 101007/s11134-006-8710-5 M/M/1 Queueing systems with inventory Maike Schwarz Cornelia Sauer Hans Daduna Rafal Kulik Ryszard Szekli Received: 11 August 2004 / Revised: 6
More informationEC611--Managerial Economics
EC611--Managerial Economics Optimization Techniques and New Management Tools Dr. Savvas C Savvides, European University Cyprus Models and Data Model a framework based on simplifying assumptions it helps
More informationChapter 2 Analysis of Pull Postponement by EOQ-based Models
Chapter 2 Analysis of Pull Postponement by EOQ-based Models A number of quantitative models for analyzing postponement based upon cost and time evaluation have been discussed in the literature. Most of
More informationExpected Time Delay in Multi-Item Inventory Systems with Correlated Demands
Expected Time Delay in Multi-Item Inventory Systems with Correlated Demands Rachel Q. Zhang Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan 48109 Received
More informationDiscrete Event and Process Oriented Simulation (2)
B. Maddah ENMG 622 Simulation 11/04/08 Discrete Event and Process Oriented Simulation (2) Discrete event hand simulation of an (s, S) periodic review inventory system Consider a retailer who sells a commodity
More information1 Production Planning with Time-Varying Demand
IEOR 4000: Production Management Columbia University Professor Guillermo Gallego 28 September 1 Production Planning with Time-Varying Demand In this lecture we present a few key results in production planning
More informationResearch Article A Deterministic Inventory Model of Deteriorating Items with Two Rates of Production, Shortages, and Variable Production Cycle
International Scholarly Research Network ISRN Applied Mathematics Volume 011, Article ID 657464, 16 pages doi:10.540/011/657464 Research Article A Deterministic Inventory Model of Deteriorating Items with
More information[section] [section] [section] [section] [section] [section] [section] [section] [section] 0
[section] [section] [section] [section] [section] [section] [section] [section] [section] 0 Some Convexity and Sensitivity Properties of the (R, T ) Inventory Control Policy for Stochastic Demand Uday
More informationPartial Differentiation
CHAPTER 7 Partial Differentiation From the previous two chapters we know how to differentiate functions of one variable But many functions in economics depend on several variables: output depends on both
More informationUNCERTAIN OPTIMAL CONTROL WITH JUMP. Received December 2011; accepted March 2012
ICIC Express Letters Part B: Applications ICIC International c 2012 ISSN 2185-2766 Volume 3, Number 2, April 2012 pp. 19 2 UNCERTAIN OPTIMAL CONTROL WITH JUMP Liubao Deng and Yuanguo Zhu Department of
More informationComparative Statics. Autumn 2018
Comparative Statics Autumn 2018 What is comparative statics? Contents 1 What is comparative statics? 2 One variable functions Multiple variable functions Vector valued functions Differential and total
More informationA Fuzzy Inventory Model. Without Shortages Using. Triangular Fuzzy Number
Chapter 3 A Fuzzy Inventory Model Without Shortages Using Triangular Fuzzy Number 3.1 Introduction In this chapter, an inventory model without shortages has been considered in a fuzzy environment. Triangular
More informationGlobal and China Sodium Silicate Industry 2014 Market Research Report
2014 QY Research Reports Global and China Sodium Silicate Industry 2014 Market Research Report QY Research Reports included market size, share & analysis trends on Global and China Sodium Silicate Industry
More informationScientiae Mathematicae Japonicae Online, Vol. 5, (2001), POSSIBILITY THAT THE CUSTOMERS GIVE UP PURCHASING THE MERCHANDISE
Scientiae Mathematicae Japonicae Online, Vol. 5, (00), 7 79 7 A DUOPOLISTIC INVENTORY PROBLEM INCLUDING THE POSSIBILITY THAT THE CUSTOMERS GIVE UP PURCHASING THE MERCHANDISE HITOSHI HOHJO and YOSHINOBU
More informationResearch Article Investing in Lead-Time Variability Reduction in a Quality-Adjusted Inventory Model with Finite-Range Stochastic Lead-Time
Hindawi Publishing Corporation Journal of Applied Mathematics and Decision Sciences Volume 2008, Article ID 795869, 13 pages doi:10.1155/2008/795869 Research Article Investing in Lead-Time Variability
More informationNeutrosophic EOQ Model with Price Break
eutrosophic Sets and Systems, Vol. 9, 8 4 University of ew Mexico eutrosophic EOQ Model with Price Break M. Mullai Assistant Professor of Mathematics, Alagappa University, Karaikudi, Tamilnadu, India.
More information2001, Dennis Bricker Dept of Industrial Engineering The University of Iowa. DP: Producing 2 items page 1
Consider a production facility which can be devoted in each period to one of two products. For simplicity, we assume that the production rate is deterministic and that production is always at full capacity.
More informationTHIELE CENTRE. The M/M/1 queue with inventory, lost sale and general lead times. Mohammad Saffari, Søren Asmussen and Rasoul Haji
THIELE CENTRE for applied mathematics in natural science The M/M/1 queue with inventory, lost sale and general lead times Mohammad Saffari, Søren Asmussen and Rasoul Haji Research Report No. 11 September
More informationPeriod Order Quantity
IE6404 - Chapter 5 Dynamic Lot Sizing Techniques 1 Dynamic Lot Sizing Methods Simple Rules Period order quantity Fixed period demand Lot for lot (L4L) Heuristic Methods Silver-Meal method (SM) Least Unit
More informationChapter 4 Differentiation
Chapter 4 Differentiation 08 Section 4. The derivative of a function Practice Problems (a) (b) (c) 3 8 3 ( ) 4 3 5 4 ( ) 5 3 3 0 0 49 ( ) 50 Using a calculator, the values of the cube function, correct
More informationA continuous review inventory model with the controllable production rate of the manufacturer
Intl. Trans. in O. Res. 12 (2005) 247 258 INTERNATIONAL TRANSACTIONS IN OERATIONAL RESEARCH A continuous review inventory model with the controllable roduction rate of the manufacturer I. K. Moon and B.
More informationarxiv: v1 [physics.comp-ph] 17 Jan 2014
An efficient method for soling a correlated multi-item inentory system Chang-Yong Lee and Dongu Lee The Department of Industrial & Systems Engineering, Kongu National Uniersity, Kongu 34-70 South Korea
More informationREVIEW PERIOD REORDER POINT PROBABILISTIC INVENTORY SYSTEM FOR DETERIORATING ITEMS WITH THE MIXTURE OF BACKORDERS AND LOST SALES
T. Vasudha WARRIER, PhD Nita H. SHAH, PhD Deartment of Mathematics, Gujarat University Ahmedabad - 380009, Gujarat, INDIA E-mail : nita_sha_h@rediffmail.com REVIEW PERIOD REORDER POINT PROBABILISTIC INVENTORY
More informationAn Integrated Inventory Model with Geometric Shipment Policy and Trade-Credit Financing under Stochastic Lead Time
Volume 117 No. 1 017, 01-11 ISSN: 1311-8080 (printed version); ISSN: 1314-3395 (on-line version) url: http://www.ijpam.eu ijpam.eu An Integrated Inventory Model with Geometric Shipment Policy and Trade-Credit
More informationCoordinating Inventory Control and Pricing Strategies with Random Demand and Fixed Ordering Cost: The Finite Horizon Case
OPERATIONS RESEARCH Vol. 52, No. 6, November December 2004, pp. 887 896 issn 0030-364X eissn 1526-5463 04 5206 0887 informs doi 10.1287/opre.1040.0127 2004 INFORMS Coordinating Inventory Control Pricing
More informationAnalytic Expression For the Electric Potential in the Plasma Sheath
884 IEEE TRANSACTIONS ON PLASMA SCIENCE. VOL. 17. NO. 6. DECEMBER 1989 Analytic Expression For the Electric Potential in the Plasma Sheath TERRENCE E. SHERIDAN, JR. AND JOHN A GOREE Abstract-An expression
More informationA A Multi-Echelon Inventory Model for a Reparable Item with one-for. for- one Replenishment
A A Multi-Echelon Inventory Model for a Reparable Item with one-for for- one Replenishment Steve Graves, 1985 Management Science, 31(10) Presented by Hongmin Li This summary presentation is based on: Graves,
More informationChapter 6: Sections 6.1, 6.2.1, Chapter 8: Section 8.1, 8.2 and 8.5. In Business world the study of change important
Study Unit 5 : Calculus Chapter 6: Sections 6., 6.., 6.. Chapter 8: Section 8., 8. and 8.5 In Business world the study of change important Eample: change in the sales of a company; change in the value
More informationEdexcel past paper questions. Core Mathematics 4. Parametric Equations
Edexcel past paper questions Core Mathematics 4 Parametric Equations Edited by: K V Kumaran Email: kvkumaran@gmail.com C4 Maths Parametric equations Page 1 Co-ordinate Geometry A parametric equation of
More informationResearch Article Optimal Inventory Policy Involving Ordering Cost Reduction, Back-Order Discounts, and Variable Lead Time Demand by Minimax Criterion
Mathematical Problems in Engineering Volume 2009, Article ID 928932, 19 pages doi:10.1155/2009/928932 Research Article Optimal Inventory Policy Involving Ordering Cost Reduction, Back-Order Discounts,
More informationAn EOQ model for weibull distribution deterioration with time-dependent cubic demand and backlogging
IOP Conference Series: Materials Science and Engineering PAPER OPEN ACCESS An EOQ model for weibull distribution deterioration with time-dependent cubic demand and backlogging To cite this article: G Santhi
More informationFunctions. A function is a rule that gives exactly one output number to each input number.
Functions A function is a rule that gives exactly one output number to each input number. Why it is important to us? The set of all input numbers to which the rule applies is called the domain of the function.
More informationMidterm Exam 2. October 27, Time: 1 hour, 30 minutes. San Francisco State University ECON 715 Fall Name:
San Francisco State University Michael Bar ECON 75 Fall 206 Midterm Exam 2 October 27, 206 Time: hour, 30 minutes Name: Instructions:. One double-sided sheet with any content is allowed. 2. Calculators
More informationStochastic Modeling and Analysis of Generalized Kanban Controlled Unsaturated finite capacitated Multi-Stage Production System
Stochastic Modeling and Analysis of Generalized anban Controlled Unsaturated finite capacitated Multi-Stage Production System Mitnala Sreenivasa Rao 1 orada Viswanatha Sharma 2 1 Department of Mechanical
More informationImproved Spare Parts Inventory Management Strijbosch, L.W.G.; Heuts, R.M.J.; van der Schoot, E.H.M.
Tilburg University Improved Spare Parts Inventory Management Strijbosch,.W.G.; Heuts, R.M.J.; van der Schoot, E.H.M. Publication date: 1998 ink to publication Citation for published version (APA): Strijbosch,.
More information1 Production Planning with Time-Varying Demand
IEOR 4000: Production Management Columbia University Professor Guillermo Gallego 28 September 1 Production Planning with Time-Varying Demand In this lecture we present a few key results in production planning
More informationFuzzy Inventory Model for Imperfect Quality Items with Shortages
Annals of Pure and Applied Mathematics Vol. 4, No., 03, 7-37 ISSN: 79-087X (P), 79-0888(online) Published on 0 October 03 www.researchmathsci.org Annals of Fuzzy Inventory Model for Imperfect Quality Items
More informationAn EOQ Model with Temporary Stock Dependent Demand with Random Lag
International Journal of Computer Science & Communication Vol. 1, No., July-December 010, pp. 43-47 An EOQ Model with Temporary Stock Dependent Demand with Random Lag P.S.R.K.Prasad 1 & K.V.S.Sarma 1 Narayana
More informationECON0702: Mathematical Methods in Economics
ECON0702: Mathematical Methods in Economics Yulei Luo SEF of HKU January 14, 2009 Luo, Y. (SEF of HKU) MME January 14, 2009 1 / 44 Comparative Statics and The Concept of Derivative Comparative Statics
More informationA monomial or sum of monomials
Polynomial: A monomial or sum of monomials Polynomial in x is an expression of the form a n x n + a n 1 x n 1 + a n 2 x n 2 +. a 1 x 1 + a 0 where n is a positive integer and a n 0 Example: 6x 3 + 2x 8x
More informationMODELING STOCHASTIC LEAD TIMES IN MULTI-ECHELON SYSTEMS
Probability in the Engineering and Informational Sciences,, 997, 469-485. Primed in the U.S.A. MODELING STOCHASTIC LEAD TIMES IN MULTI-ECHELON SYSTEMS E. B. DIKS Department of Mathematics and Computing
More informationExcel-Based Solution Method For The Optimal Policy Of The Hadley And Whittin s Exact Model With Arma Demand
Excel-Based Soluion Mehod For The Opimal Policy Of The Hadley And Whiin s Exac Model Wih Arma Demand Kal Nami School of Business and Economics Winson Salem Sae Universiy Winson Salem, NC 27110 Phone: (336)750-2338
More informationMathematics for Economics ECON MA/MSSc in Economics-2017/2018. Dr. W. M. Semasinghe Senior Lecturer Department of Economics
Mathematics for Economics ECON 53035 MA/MSSc in Economics-2017/2018 Dr. W. M. Semasinghe Senior Lecturer Department of Economics MATHEMATICS AND STATISTICS LERNING OUTCOMES: By the end of this course unit
More informationOn Application Of Modified Gradient To Extended Conjugate Gradient Method Algorithm For Solving Optimal Control Problems
IOSR Journal of Mathematics (IOSR-JM) e-issn: 2278-5728, p-issn:2319-765x. Volume 9, Issue 5 (Jan. 2014), PP 30-35 On Application Of Modified Gradient To Extended Conjugate Gradient Method Algorithm For
More informationStochastic (Random) Demand Inventory Models
Stocastic (andom) Demand Inventory Models George Liberopoulos 1 Assumptions/notation Single-period orizon Uncertain demand in te period: D (parts) assume continuous random variable Density function and
More informationMathematical Economics: Lecture 9
Mathematical Economics: Lecture 9 Yu Ren WISE, Xiamen University October 17, 2011 Outline 1 Chapter 14: Calculus of Several Variables New Section Chapter 14: Calculus of Several Variables Partial Derivatives
More informationThe Case of Japan. ESRI CEPREMAP Joint Workshop November 13, Bank of Japan
New Monthly Estimation Approach for Nowcasting GDP Growth: The Case of Japan ESRI CEPREMAP Joint Workshop November 13, 2014 Naoko Hara Bank of Japan * Views expressed in this paper are those of the authors,
More informationEffect of repair cost on the rework decision-making in an economic production quantity model
Effect of repair cost on the rework decision-making in an economic production quantity model Singa Wang Chiu Department of Business Administration Chaoyang University of Technology 68, Gifeng E. Rd. Wufeng,
More informationDesign of Ideal Batch Reactors operated under Isothermal Conditions (It is important to have this note set with you during all lecture classes.
CP33 Set # July-October 3 Design of Ideal Batch Reactors operated under Isothermal Conditions It is important to have this note set with you during all lecture classes. A batch reactor is such that a batch
More informationx x2 2 + x3 3 x4 3. Use the divided-difference method to find a polynomial of least degree that fits the values shown: (b)
Numerical Methods - PROBLEMS. The Taylor series, about the origin, for log( + x) is x x2 2 + x3 3 x4 4 + Find an upper bound on the magnitude of the truncation error on the interval x.5 when log( + x)
More informationMake-to-Stock Production-Inventory Systems. and Lost Sales
Make-to-Stock Production-Inventory Systems with Compound Poisson emands, Constant Continuous Replenishment and Lost Sales By Junmin Shi A dissertation submitted to the Graduate School-Newark Rutgers, The
More informationSecond Order Derivatives. Background to Topic 6 Maximisation and Minimisation
Second Order Derivatives Course Manual Background to Topic 6 Maximisation and Minimisation Jacques (4 th Edition): Chapter 4.6 & 4.7 Y Y=a+bX a X Y= f (X) = a + bx First Derivative dy/dx = f = b constant
More informationBusiness Mathematics. Lecture Note #13 Chapter 7-(1)
1 Business Mathematics Lecture Note #13 Chapter 7-(1) Applications of Partial Differentiation 1. Differentials and Incremental Changes 2. Production functions: Cobb-Douglas production function, MP L, MP
More informationMathematical Methods - Lecture 7
Mathematical Methods - Lecture 7 Yuliya Tarabalka Inria Sophia-Antipolis Méditerranée, Titane team, http://www-sop.inria.fr/members/yuliya.tarabalka/ Tel.: +33 (0)4 92 38 77 09 email: yuliya.tarabalka@inria.fr
More informationChapter 6: Sections 6.1, 6.2.1, Chapter 8: Section 8.1, 8.2 and 8.5. In Business world the study of change important
Study Unit 5 : Calculus Chapter 6: Sections 6., 6.., 6.3. Chapter 8: Section 8., 8. and 8.5 In Business world the study of change important Example: change in the sales of a company; change in the value
More informationJUST THE MATHS UNIT NUMBER ORDINARY DIFFERENTIAL EQUATIONS 4 (Second order equations (A)) A.J.Hobson
JUST THE MATHS UNIT NUMBER 15.4 ORDINARY DIFFERENTIAL EQUATIONS 4 (Second order equations (A)) by A.J.Hobson 15.4.1 Introduction 15.4.2 Second order homogeneous equations 15.4.3 Special cases of the auxiliary
More informationProblem Statements in Time Series Forecasting
Problem Statements in Time Series Forecasting Vadim Strijov, Visiting Professor at IAM METU Computing Center of the Russian Academy of Sciences Institute of Applied Mathematics, Middle East Technical University
More informationStochastic inventory system with two types of services
Int. J. Adv. Appl. Math. and Mech. 2() (204) 20-27 ISSN: 2347-2529 Available online at www.ijaamm.com International Journal of Advances in Applied Mathematics and Mechanics Stochastic inventory system
More informationTHE APPLICATION OF GREY SYSTEM THEORY TO EXCHANGE RATE PREDICTION IN THE POST-CRISIS ERA
International Journal of Innovative Management, Information & Production ISME Internationalc20 ISSN 285-5439 Volume 2, Number 2, December 20 PP. 83-89 THE APPLICATION OF GREY SYSTEM THEORY TO EXCHANGE
More informationOn the (R,s,Q) Inventory Model when Demand is Modelled as a Compound Process Janssen, F.B.S.L.P.; Heuts, R.M.J.; de Kok, T.
Tilburg University On the (R,s,Q) Inventory Model when Demand is Modelled as a Compound Process Janssen, F.B.S.L.P.; Heuts, R.M.J.; de Kok, T. Publication date: 1996 Link to publication Citation for published
More informationand Lost Sales By Junmin Shi A dissertation submitted to the Graduate School-Newark Rutgers, The State University of New Jersey
Make-to-Stock Production-Inventory Systems with Compound Poisson Demands, Constant Continuous Replenishment and Lost Sales By Junmin Shi A dissertation submitted to the Graduate School-Newark Rutgers,
More informationECON2285: Mathematical Economics
ECON2285: Mathematical Economics Yulei Luo Economics, HKU September 17, 2018 Luo, Y. (Economics, HKU) ME September 17, 2018 1 / 46 Static Optimization and Extreme Values In this topic, we will study goal
More informationES10006: Core skills for economists: Mathematics 2
ES10006: Core skills for economists: Mathematics 2 Seminar 6 Problem set no. 4: Questions 1c, 1d, 2, 4, 7, 8b First-order linear differential equations From Chiang and Wainwright (2005, Section 15.1),
More informationMODELING AND PROPERTIES OF GENERALIZED KANBAN CONTROLLED ASSEMBLY SYSTEMS 1
MODELING AND PROPERTIES OF GENERALIZED KANBAN CONTROLLED ASSEMBLY SYSTEMS 1 Sbiti N. *, Di Mascolo M. **, Amghar M.* * Ecole Mohammadia d Ingénieurs, Université Mohammed V-Agdal, Avenue Ibn Sina, BP 765,
More informationThe equivalence of two tax processes
The equivalence of two ta processes Dalal Al Ghanim Ronnie Loeffen Ale Watson 6th November 218 arxiv:1811.1664v1 [math.pr] 5 Nov 218 We introduce two models of taation, the latent and natural ta processes,
More informationMultivariate random variables
Multivariate random variables DS GA 1002 Statistical and Mathematical Models http://www.cims.nyu.edu/~cfgranda/pages/dsga1002_fall16 Carlos Fernandez-Granda Joint distributions Tool to characterize several
More informationZero-Inventory Conditions For a Two-Part-Type Make-to-Stock Production System
Zero-Inventory Conditions For a Two-Part-Type Make-to-Stock Production System MichaelH.Veatch Francis de Véricourt October 9, 2002 Abstract We consider the dynamic scheduling of a two-part-type make-tostock
More informationOptimal Backlogging Over an Infinite Horizon Under Time Varying Convex Production and Inventory Costs
Optimal Backlogging Over an Infinite Horizon Under Time Varying Convex Production and Inventory Costs Archis Ghate Robert L. Smith Industrial Engineering, University of Washington, Box 352650, Seattle,
More informationAn Uncertain Control Model with Application to. Production-Inventory System
An Uncertain Control Model with Application to Production-Inventory System Kai Yao 1, Zhongfeng Qin 2 1 Department of Mathematical Sciences, Tsinghua University, Beijing 100084, China 2 School of Economics
More information3.1 Derivative Formulas for Powers and Polynomials
3.1 Derivative Formulas for Powers and Polynomials First, recall that a derivative is a function. We worked very hard in 2.2 to interpret the derivative of a function visually. We made the link, in Ex.
More informationAn Uncertain Bilevel Newsboy Model with a Budget Constraint
Journal of Uncertain Systems Vol.12, No.2, pp.83-9, 218 Online at: www.jus.org.uk An Uncertain Bilevel Newsboy Model with a Budget Constraint Chunliu Zhu, Faquan Qi, Jinwu Gao School of Information, Renmin
More informationDeveloping a Data Envelopment Analysis Methodology for Supplier Selection in the Presence of Fuzzy Undesirable Factors
Available online at http://ijim.srbiau.ac.ir Int. J. Industrial Mathematics (ISSN 2008-5621) Vol. 4, No. 3, Year 2012 Article ID IJIM-00225, 10 pages Research Article Developing a Data Envelopment Analysis
More informationA Continuous-Review Inventory Model with Disruptions at Both Supplier and Retailer
A Continuous-Review Inventory Model with isruptions at Both Supplier and Retailer Lian Qi epartment of Business Administration, Missouri University of Science & Technology, Rolla, MO Zuo-Jun Max Shen epartment
More informationCENTER FOR MULTIMODAL SOLUTIONS FOR CONGESTION MITIGATION (CMS)
Final Report to the CENTER FOR MULTIMODAL SOLUTIONS FOR CONGESTION MITIGATION (CMS) CMS Project Number: 2011-023 Project Title: The Impacts of Freight Mode Splitting on Congestion, Risk, and Delivery Reliability
More information