International Journal on Recent and Innovation Trends in Computing and Communication ISSN: Volume: 5 Issue:

Similar documents
Algorithms for parallel processor scheduling with distinct due windows and unit-time jobs

Corresponding Author: Pradeep Bishnoi

List Scheduling and LPT Oliver Braun (09/05/2017)

FLOWSHOP SCHEDULES WITH SEQUENCE DEPENDENT SETUP TIMES

Model Fitting. CURM Background Material, Fall 2014 Dr. Doreen De Leon

A Note on Scheduling Tall/Small Multiprocessor Tasks with Unit Processing Time to Minimize Maximum Tardiness

INTEGRATIVE COOPERATIVE APPROACH FOR SOLVING PERMUTATION FLOWSHOP SCHEDULING PROBLEM WITH SEQUENCE DEPENDENT FAMILY SETUP TIMES

The Methods of Solution for Constrained Nonlinear Programming

1 Identical Parallel Machines

Approximation in Stochastic Scheduling: The Power of LP-Based Priority Policies

e-companion ONLY AVAILABLE IN ELECTRONIC FORM

A Note on Online Scheduling for Jobs with Arbitrary Release Times

Polygonal Designs: Existence and Construction

Introduction to Discrete Optimization

MSEC MODELING OF DEGRADATION PROCESSES TO OBTAIN AN OPTIMAL SOLUTION FOR MAINTENANCE AND PERFORMANCE

Analyzing Simulation Results

Ştefan ŞTEFĂNESCU * is the minimum global value for the function h (x)

Unavailability in n 2 Flow Shop Scheduling To Minimize Rental Cost with Job Block Criteria

REDUCTION OF FINITE ELEMENT MODELS BY PARAMETER IDENTIFICATION

Defect-Aware SOC Test Scheduling

Homework 3 Solutions CSE 101 Summer 2017

Worst-case performance of critical path type algorithms

time time δ jobs jobs

A Simplified Analytical Approach for Efficiency Evaluation of the Weaving Machines with Automatic Filling Repair

Support Vector Machine Classification of Uncertain and Imbalanced data using Robust Optimization

A Self-Organizing Model for Logical Regression Jerry Farlow 1 University of Maine. (1900 words)

A Better Algorithm For an Ancient Scheduling Problem. David R. Karger Steven J. Phillips Eric Torng. Department of Computer Science

An improved self-adaptive harmony search algorithm for joint replenishment problems

INTELLECTUAL DATA ANALYSIS IN AIRCRAFT DESIGN

Optimization of Flywheel Weight using Genetic Algorithm

OPTIMIZATION OF SPECIFIC FACTORS TO PRODUCE SPECIAL ALLOYS

MINIMIZING IDLE TIME OF CRITICAL MACHINE IN PERMUTATION FLOW ENVIRONMENT WITH WEIGHTED SCHEDULING

Mathematical Model and Algorithm for the Task Allocation Problem of Robots in the Smart Warehouse

Stochastic Optimization of Product-Machine Qualification in a Semiconductor Back-end Facility

When Short Runs Beat Long Runs

Convex Programming for Scheduling Unrelated Parallel Machines

ON THE TWO-LEVEL PRECONDITIONING IN LEAST SQUARES METHOD

An Extension to the Tactical Planning Model for a Job Shop: Continuous-Time Control

Order Sequencing and Capacity Balancing in Synchronous Manufacturing

Research Article Approximate Multidegree Reduction of λ-bézier Curves

Feature Extraction Techniques

Lecture 21. Interior Point Methods Setup and Algorithm

Boosting with log-loss

arxiv: v1 [cs.ds] 3 Feb 2014

On Rough Interval Three Level Large Scale Quadratic Integer Programming Problem

Lost-Sales Problems with Stochastic Lead Times: Convexity Results for Base-Stock Policies

Bayes Decision Rule and Naïve Bayes Classifier

Department of Electronic and Optical Engineering, Ordnance Engineering College, Shijiazhuang, , China

Block designs and statistics

Support Vector Machines MIT Course Notes Cynthia Rudin

Soft Computing Techniques Help Assign Weights to Different Factors in Vulnerability Analysis

Sampling How Big a Sample?

Kernel Methods and Support Vector Machines

COS 424: Interacting with Data. Written Exercises

C na (1) a=l. c = CO + Clm + CZ TWO-STAGE SAMPLE DESIGN WITH SMALL CLUSTERS. 1. Introduction

Intelligent Systems: Reasoning and Recognition. Perceptrons and Support Vector Machines

Simulation of Discrete Event Systems

Optimum Value of Poverty Measure Using Inverse Optimization Programming Problem

Estimation of the Mean of the Exponential Distribution Using Maximum Ranked Set Sampling with Unequal Samples

Closed-form evaluations of Fibonacci Lucas reciprocal sums with three factors

Curious Bounds for Floor Function Sums

Pattern Recognition and Machine Learning. Artificial Neural networks

ASSIGNMENT BOOKLET Bachelor s Degree Programme (B.Sc./B.A./B.Com.) MATHEMATICAL MODELLING

IN modern society that various systems have become more

A New Approach to Solving Dynamic Traveling Salesman Problems

Symbolic Analysis as Universal Tool for Deriving Properties of Non-linear Algorithms Case study of EM Algorithm

Ch 12: Variations on Backpropagation

Fairness via priority scheduling

TEST OF HOMOGENEITY OF PARALLEL SAMPLES FROM LOGNORMAL POPULATIONS WITH UNEQUAL VARIANCES

a a a a a a a m a b a b

Nonclairvoyant Scheduling to Minimize the Total Flow Time on Single and Parallel Machines

N-Point. DFTs of Two Length-N Real Sequences

MULTIAGENT Resource Allocation (MARA) is the

REAL-TIME SCHEDULING AND CONTROL OF A FLOW-SHOP USING DIOID ALGEBRA

On the Inapproximability of Vertex Cover on k-partite k-uniform Hypergraphs

MATHEMATICAL MODEL OF THE ENERGETIC CONSUMPTION FOR SOIL DIGGING MACHINES IN GREENHOUSES

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and

Scheduling Contract Algorithms on Multiple Processors

Reliability Analysis of a Seven Unit Desalination Plant with Shutdown during Winter Season and Repair/Maintenance on FCFS Basis

OBJECTIVES INTRODUCTION

UNCERTAINTIES IN THE APPLICATION OF ATMOSPHERIC AND ALTITUDE CORRECTIONS AS RECOMMENDED IN IEC STANDARDS

Optimal and heuristic solutions for the single and multiple batch flow shop lot streaming problems with equal sublots

Bipartite subgraphs and the smallest eigenvalue

Pattern Recognition and Machine Learning. Learning and Evaluation for Pattern Recognition

THE AVERAGE NORM OF POLYNOMIALS OF FIXED HEIGHT

Intelligent Systems: Reasoning and Recognition. Artificial Neural Networks

Randomized Accuracy-Aware Program Transformations For Efficient Approximate Computations

Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence

This model assumes that the probability of a gap has size i is proportional to 1/i. i.e., i log m e. j=1. E[gap size] = i P r(i) = N f t.

Sequence Analysis, WS 14/15, D. Huson & R. Neher (this part by D. Huson) February 5,

FUZZY PARAMETRIC GEOMETRIC PROGRAMMING WITH APPLICATION IN FUZZY EPQ MODEL UNDER FLEXIBILITY AND RELIABILITY CONSIDERATION

Uniform Approximation and Bernstein Polynomials with Coefficients in the Unit Interval

Forecasting Financial Indices: The Baltic Dry Indices

Solving Fuzzy Linear Fractional Programming. Problem Using Metric Distance Ranking

ELEMENTARY MARKOV QUEUEING SYSTEMS WITH UNRELIABLE SERVER

Stochastic Machine Scheduling with Precedence Constraints

On Poset Merging. 1 Introduction. Peter Chen Guoli Ding Steve Seiden. Keywords: Merging, Partial Order, Lower Bounds. AMS Classification: 68W40

1 Bounding the Margin

Recursive Algebraic Frisch Scheme: a Particle-Based Approach

A note on the multiplication of sparse matrices

Transcription:

Optial Specially Structured N X 2 Flow Shop Scheduling To Miniize Total Waiting Tie of Jobs ncluding Job Block Concept with Processing Tie Separated Fro Set up Tie Dr Deepak Gupta Professor & Head Departent of Matheatics Maharishi Markandeshwar University Mullana Bharat Goyal Research Scholar Departent of Matheatics Maharishi Markandeshwar University Mullana (Eail id: bhartu89@gailco) ABSTRACT: n the present state of affairs the current engineering and anufacturing built- up units are facing ishash of probles in a lot of aspects such as an power achining tie raw aterial electricity and custoer s constraints The flow-shop scheduling is one of the ost significant anufacturing behaviors particularly in anufacturing planning The creation of every tie adirable schedules has verified to be enorously coplicated This paper involves the fortitude of the order of processing of jobs on 2 achines This paper proposes the specially structured Flow Shop Scheduling proble separated fro set up tie assuing that axiu of the equivalent processing tie on first achine is less than or equal to the iniu of equivalent processing tie on second achine with the objective of getting the optial sequence of jobs for total waiting tie of jobs using the heuristic algorith by taking two of the jobs as a group job The proposed technique is followed by nuerical exaple KEY WORDS: Waiting tie of jobs Job Block Set up tie Flow shop Scheduling Processing tie ***** ntroduction Transfer lines have long been recognized as the ost proficient ethod of producing goods in a high volue/ high variety and id volue/ id variety anufacturing though have always been played with difficulties A lot of the production probles are attributable to probles in the scheduling function: not having the sources when they are needed not having apparatus available when it is needed by eans of surplus inventory to hide probles inflexibility and lack of awareness Scheduling conceivably defined as the proble of deciding when to ipleent a given set of activities subject to chronological constraints and resources capacities with the intention of optiize soe function The flow shop contains different achines arranged in series on which a set of n jobs are to be processed The coon scheduling proble for a usual flow shop gives rise to (n!) possible schedules With the ai to reduce the nuber of possible schedules it is logical to take for granted that all the jobs share the sae processing order on every achine Efforts in the past have been ade by researchers to lessen this nuber of possible schedules as uch as achievable without coproising on optiality condition This paper presents a solution ethodology in a flow shop scheduling proble for iniization the waiting tie of jobs specifically defined as the su of the ties of all the jobs which was devoted in waiting for their turn on both of the achines Literature review Johnson [1] has proved that in a 2 achine flow shop proble an optial schedule for iniizing the total elapsed tie can be constructed t was verified later that achine flow shop scheduling proble (FSSP) is robustly NP- hard for 3 Solution ethods for flow shop scheduling range fro heuristics developed by Paler [2] Capbell et al[3] and Dannenbring [4] to ore coplex techniques such as branch and bound [5] tabu search [6 7] Maggu P L et al[8] introduced the concept of equivalent jobs for job block by taking two of the jobs as a group job Yoshida et al [9] explain two stage production scheduling by taking the set up tie separated fro processing tie Nawaz et al [10] proposed that a job with longer total processing tie should have higher priority in the sequence Singh TP et al [13] considered the proble associated with group job restrictions in a flow shop which engross independent set- up tie and transportation tie Further Gupta D [15] siplified the proble of iniization of Rental Cost in Two Stage Flow Shop Scheduling Proble in which Setup Tie was separated fro Processing Tie JRTCC June 2017 Available @ http://wwwijritccorg 727

and each associated with probabilities including Job Block all jobs Equivalent processing ties of k th job on achine Criteria Another approach to study the specially structured R & S are defined as three stage flow shop scheduling to iniize the rental cost = t Sk = t Rk satisfying processing is presented by Gupta D et al[17] ties structural relationship Recently Gupta D et al[19] studied optiality for waiting Max Min S k p and q are any jobs aongst the given tie of jobs in which processing ties are associated with jobs such that job p occurs before job q in the order of job probabilities This study was further extended by including block (p q) the equivalent job β is defined as (p q) job block concept and taking set up tie separated fro set up tie [20 21] The proble discussed here has TABLE 1: MATRX FORM OF THE MATHEMATCAL noteworthy use of conjectural results in process industries or MODEL OF THE PROBLEM in the circustances when the objective is to iniize the total waiting tie of jobs The present paper is an extension t Rk t Sk ade by Gupta D et al [19 20 21] in the sense that we 1 R have taken into consideration the set up tie and the job 1 t R1 S 1 t S1 2 R block criterion 2 t R2 S 2 t S2 3 R 3 t R3 S 3 t S3 PRACTCAL STUATON ndustrial units play a significant role in the financial growth of a nation Flow shop scheduling arises in various organizations service stations banks airports etc n our routine working in factories and anufacturing units different jobs are processed on various achines n textile industry different types of fabric is shaped using different types of yarn Here the axiu equivalent tie taken in dying of yarn on first achine is always less than or equal to the iniu equivalent tie taken in weaving of yarn on the second achine The idea of iniizing the waiting tie ay be an reasonable aspect fro Factory /ndustry anager s view point when he has iniu tie agreeent with a coercial party to coplete the jobs NOTATONS J k : Sequence obtained by applying the algorith proposed : Processing tie of k th job on achine R : Processing tie of k th job on achine S : Equivalent processing tie of k th job on achine R : Equivalent processing tie of k th job on achine S t Rk : Tie for set up of k th job on achine R t Sk : Tie for set up of k th job on achine S T as : The copletion tie of job a on achine S W γ : Waiting tie of job γ W: Total waiting tie of all the jobs R t R S t S ASSUMPTONS n the given flow shop scheduling the following assuptions are ade 1) There are nuber of jobs () and two achines (R & S) 2) The order of sequence of operations in both of the achines is the sae 3) Jobs are independent to each other 4) t is given to sequence r jobs j 1 j 2 j r as a block or group job in the order (j 1 j 2 j r ) showing priority of job j 1 over j 2 etc 5) Machines break down interval transportation tie is not considered for calculating waiting tie 6) Pre- eption is not allowed ie jobs are not being split clearly once a job is started on a achine the process on that achine can t be stopped unless the job is copleted Lea1 Assuing two achines R S are processing jobs in order R S with no passing peritted Let and are the processing ties of job k ( k = 123 ) on each achine correspondingly presuptuous their respective set up ties t Rk and t Sk Equivalent processing ties of k th job on achine R & S are defined as = t Sk = t Rk satisfying processing ties structural relationship Max Min then for the job PROBLEM FORMULATON Assue that R and S are two achines processing jobs in the order R S and are the respective processing ties and t Rk and t Sk are the respective set up ties of the k th job on achines R & S Our intention is to find an optial sequence {J k } of jobs iniizing the total waiting tie of sequence S: γ 1 γ 2 γ 3 γ T γ S = R γ1 + S γ1 + S γ2 + S γ Where T as is the copletion tie of job a on achine S Proof Applying atheatical nduction hypothesis on : Assuing the stateent P : T γ S = R γ1 + S γ1 + S γ2 + S γ JRTCC June 2017 Available @ http://wwwijritccorg 728

1 T γ1 R = R γ1 T γ1 S = R γ1 + S W γ2 = R γ1 + y γr R γ2 γ1 Hence for = 1 the stateent P 1 is true For k = 3 Let for = k the stateent P k be true ie T γk S = R γ1 + S γ1 + S γ2 + S γk Now T γk +1 S = Max T γk +1 R T βk S + S γk +1 As Max Min Hence T γk +1 S = R γ1 + S γ1 + S γ2 + S γk + S γk +1 Hence for n = k + 1 the stateent P k + 1 holds true Since P is true for = 1 = k = k + 1 and k being arbitrary Hence P : T γ S = R γ1 + S γ1 + S γ2 + S γ is true Lea2 With the sae notations as that of Lea1 for - job sequence S: γ 1 γ 2 γ 3 γ k γ W γ1 = 0 W γk k 1 = R γ1 + y γr R γk Where W γk is the waiting tie of job γ k for the sequence (γ 1 γ 2 γ 3 γ ) y γr = S γr R γr γ r є (1 2 3 ) Proof W γ1 = 0 W γk = Max T γk R T γk 1 S T γk R = R γ1 + S γ1 + S γ2 + S γk 1 R γ1 R γ2 R γk k 1 = R γ1 + (S γr k 1 R γr ) R γk = R γ1 + (y γr ) R γk W γ3 = R γ1 + y γr 2 Continuing in this way For k = W γ 1 = R γ1 + y γr Hence total waiting tie W = i=1 W γi W = R γ1 1 R γ3 R γ + z γr Where z γr = r y γr Equivalent Job Block Theore Theore 2 n processing a schedule = (123 ) of jobs on two achines R and S in the order R S with no passing allowed A job k (k = 123 ) has processing tie and on each achine respectively The job block (p q) is equivalent to the single job β (called equivalent job β) Now the processing ties of job β on the achines R and S are denoted respectively by R β S β are given by R β = R p + R q in R q S p S β = S p + S q in R q S p Theore1 Let two achines R S are processing jobs in order R S with no passing allowed Let and are the processing ties of job k ( i = 123 ) on each achine respectively assuing their respective set up ties t Rk and t Sk Equivalent processing ties are defined as = t Sk = t Rk satisfying processing ties structural relationship Max Min then for any job sequence S: γ 1 γ 2 γ 3 γ the total waiting tie W (say) W = R γ1 z γr 1 + z γr = r y γr ; γ r 1 2 3 Proof Fro Lea 2 we have W γ1 = 0 For k = 2 The proof of the theore is given by Maggu PL et al [8] ALGORTHM Step 1: Equivalent processing ties and on achine R & S respectively be calculated in first step as defined in the lea 1 Step 2: Take equivalent job β = (p q) and define processing ties using equivalent job block theore and replace the pair of jobs p q in this order by the single job Fill up the values in the following table: JRTCC June 2017 Available @ http://wwwijritccorg 729

1 R 1 2 R 2 3 R 3 y k = β R β p R p S 1 S 2 S 3 S β S p y 1 y 2 y 3 y β y p Step 3: Asseble the jobs in increasing order of y i R γ1 in{ } ove on to step 5 Assuing the sequence found be (γ 1 γ 2 γ 3 γ p ) Step 4: Locate in{ For the following two possibilities R γ1 = in{ required optial sequence } } Schedule according to step 3 is the Step 5: Consider the different sequence of jobs J 1 J 2 J 3 J p Where J 1 is the sequence obtained in step 3 Sequence J ( = 23 p) can be obtained by placing th job in the sequence J 1 to the first position and rest of the sequence reaining sae Step 6: Calculate the entries for the following table TABLE 2 z ki = ( i)y k R i S i y k i = 1 i= 2 i = 3 i = n-1 1 R 1 S 1 y 1 z 11 z 12 z 13 z 1 1 2 R 2 S 2 y 2 z 21 z 22 z 23 z 2 1 3 R 3 S 3 y 3 z 31 z 32 z 33 z 3 1 R S y z 1 z 2 z 3 z 1 Step 7: Copute the total waiting tie W for all the sequences J 1 J 2 J 3 J p using the following forula: W = R b R b 1 + z ak = Equivalent processing tie of the first job on achine R in sequence J The sequence with iniu total waiting tie is the required optial sequence TABLE 3: PROCESSNG TME MATRX t Rk t Sk 1 6 2 10 1 2 5 4 11 3 3 8 5 15 4 4 5 1 7 3 5 6 2 12 4 6 7 1 12 3 NUMERCAL LLUSTRATON Assue 6 jobs 1 2 3 4 5 6 has to be processed on two achines R & S with processing ties and and set up ties t Rk and t Sk respectively Our objective is to obtain optial string iniizing the total waiting tie for the jobs Solution As per step 1- Equivalent processing tie achine R & S given in the following table JRTCC June 2017 Available @ http://wwwijritccorg & on 730

`TABLE 4: EQUVALENT PROCESSNG TME MATRX y k = Max Min As per step 2- Take equivalent job β = (2 5) Calculating the processing ties for equivalent job β R β = 2 S β 1 5 8 2 2 7 3 4 10 4 2 6 5 2 10 6 4 11 = 15 1 5 8 3 β 2 15 13 3 4 10 6 4 2 6 4 6 4 11 7 As per step 3- Arrange the jobs in increasing order of y i ie the sequence found be 1 4 36 β As per step 4- Min = 2 R 1 As per step 5- Consider the following different sequences of jobs J 1 : 1 4 36 β ; J 2 : 41 36 β ; J 3 : 31 46 β ; J 4 : 61 4 3 β ; J 5 : β 1 4 36 As per step 6- Fill up the values in the following table TABLE 5 z ki = (6 i)y k y k i = 1 i = 2 i = 3 i = 4 i=5 = 1 5 8 3 15 12 9 6 3 2 2 7 5 25 20 15 10 5 3 4 10 6 30 24 18 12 6 4 2 6 4 20 16 12 8 4 5 2 10 8 40 32 24 16 8 6 4 11 7 35 28 21 14 7 As per step 7- The total waiting tie for the sequences obtained in step 5 can be calculated 5 Here i=1 = 19 For the sequence J 1 : 1 4 36 β or J 1 : 1 4 3625 For the sequence J 5 : β 1 4 36 or J 5 : 251 4 36 Total waiting tie W = 73 Hence schedule J 2 : 41 362 5 is the required schedule with iniu total waiting tie Total waiting tie W = 79 Conclusion For the sequence J 2 : 41 36 β or J 2 : 41 362 5 Total waiting tie W = 62 For the sequence J 3 : 31 46 β or J 3 : 31 462 5 Total waiting tie W = 78 For the sequence J 4 : 61 4 3 β or J 4 : 61 4 32 5 Total waiting tie W = 81 The present study deals with the flow shop scheduling proble with the ain idea to iniize the total waiting tie of jobs However it ay increase the other costs like achine idle cost or penalty cost of the jobs yet the idea of iniizing the waiting tie ay be an econoical aspect fro Factory /ndustry anager s view point when he has iniu tie contract with a coercial party to coplete the jobs The work can be extended by introducing various paraeters like transportation tie break down interval etc JRTCC June 2017 Available @ http://wwwijritccorg 731

REFERENCES [1] Johnson [1954] Optial two and three stage production schedule with set up ties included Naval Research Logistics Quarterly Vol 1 pp 61-68 [2] Paler DS [1965] Sequencing jobs through a ulti stage process in the iniu total tie- a quick ethod of obtaining a near optiu Operation Research Quarterly Vol 16 pp 101-107 [3] Capbell HG; Dudek RA; Sith ML [1970] A Heuristic Algorith for the n- job -achine Sequencing Proble Manageent Science Vol16 No10 pp 630-637 [4] Dannenbring David G [1977] An Evaluation of Flow Shop Sequencing Heuristics Manageent Science Vol23 No11 pp 1174-1182 [5] Brucker P; Jurisch B; Sievers B [1994] A branch and bound algorith for the job shop scheduling proble Discrete Applied Matheatics Vol 49 No 1 pp 109 127 [6] Gendreau M; Laporte G; Seet F [1998] A tabu search heuristic for the undirected selective travelling salesan proble European Journal of Operational Research Elsevier Vol106 No 2-3 pp 539-545 [7] Nowicki E; Sutnicki C [1996] A fast taboo search algorith for the job shop proble Manageent Science Vol 42 No6 pp 797 813 [8] Maggu PL; Dass G [1977] Equivalent jobs for job block in job sequencing Operations Research Vol 14 No 4 pp 277-281 [9] Yoshida; Hitoi [1979] Optial two stage Production Scheduling with set- up tie separated AE Transactions Vol pp 261-26 [10] Nawaz M; Enscore E; Ha [1983] A heuristic algorith for the achine n job flow shop sequencing proble OMEGA Vol 11 No1 pp 91-95 [11] Singh TP [1985] on n 2 flow shop proble involving job block Transportation ties and Break-down Machine ties PAMS Vol21 No1-2 [12] Rajendran C; Chaudhuri D [1992] An efficient heuristic approach to the scheduling of jobs in a flow-shop European Journal of Operational Research Vol 61 pp 318-325 [13] Singh TP;Gupta D [2004] Optial two stage production schedule with group jobs restrictions having set up ties separated fro processing tie associated with probabilities Presented in nternational Conference on ndustrial & Applied Matheatics at ndia nternational Centre New Delhi 4-6 Dec(2004) and published in the journal reflections des ERA (JMS) VOL 1 pp 53-70 [14] Singh TP; Gupta D; Kuar R [2006] Optial two stage production schedule with Group job-restrictions having set up ties separated fro processing tie associated with probabilities Reflections des ERA (JMS) Vol 1 pp 53-70 [15] Gupta D [2011] Miniizing rental cost under specified rental policy in two stage flowshop the processing tie associated with probabilities including break down interval and job block criteria European Journal of Business and Manageent (USA) Vol 3 No2 pp 85-103 [16] Gupta D; Bala S; Singla P[2012] Optial Two Stage Open Shop Specially Structured Scheduling To Miniize the Rental Cost processing tie Associated with Probabilities including transportation tie OSR Journal of Matheatics Vol 3 No 3 pp 01-06 [17] Gupta D; Shara S; Bala S; [2012] Specially Structured Three Stage Flowshop Scheduling to iniize the rental cost nternational Journal of Applied Physics and Matheatics Vol 2 No 3 pp 156-158 [18] Gupta D;Bala S; Singla P;Shara S [2015] 3- stage Specially Structured Flow Shop Scheduling to Miniize the Rental Cost ncluding Transportation Tie Job Weightage and Job Block Criteria European Journal of Business and Manageent Vol 7 No4 [19] Gupta D; Goyal B[2016] Optial Scheduling For Total Waiting Tie Of Jobs n Specially Structured Two Stage Flow Shop Proble Processing Ties Associated With Probabilities Aryabhatta Journal of Matheatics & nforatics Vol8 No 1 pp 45-52 [20] Gupta D; Goyal B[2016] Job block concept in two stage specially structured Flow shop scheduling to iniize the total waiting tie of jobs nternational Journal of Latest Trends in Engineering and Technology Vol 7 No 3 pp 287 295 [21] Gupta D; Goyal B[2016] Miniizing total waiting tie of jobs in specially structured two stage Flow Shop Scheduling processing tie separated fro set up tie Journal of Matheatics and Syste Sciences Vol 12 No 1-2 pp 73-76 JRTCC June 2017 Available @ http://wwwijritccorg 732