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ALFRED ASASE THESIS PDF

104 Pages·2012·1.51 MB·English
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THE TRANSPORTATION PROBLEM CASE STUDY :( GUINESS GHANA LIMITED) BY ALFRED ASASE A THESIS SUBMITED TO THE DEPARTMENT OF MATHEMATICS FACULTY OF PHYSICAL SCIENCE AND TECHNOLOGY KUMASI IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE (INDUSTRIAL MATHEMATICS) OCTOBER 2011 i Declaration I hereby declare that this submission is my own work towards the MSc and that, to the best of my knowledge, it contains no material previously published by another person, nor material, which has been accepted for the award of any other degree of university, except where due acknowledgement has been made in the text Alfred Asase : .. ....………............ ................... (PG2007408) Signature Date (Student‟s Name and ID) Mr. Kwaku Darkwah: …… …………. …. .………. (Supervisor) Signature Date Mr. Kwaku Darkwah: ………………. …………. (Head of Department) Signature Date i Dedication This study is dedicated to Almighty God, Asase family, my wife Olivia and my two lovely daughters Ohemaa and Awuraakua. ii Acknowledgements First and foremost, I thank God the Almighty for given me this opportunity and carrying me through this thesis successfully. This thesis could not have been completed without the support and encouragement from several people. I am deeply indebted to my supervisor, Mr. Kwaku Dakwah, for his excellent direction, invaluable feedback, his constructive suggestions, detailed corrections, support and encouragement played enormous role resulted in this successful project. I would like to extend my gratitude to all the academic and administrative staff of the department of mathematics of KNUST. I also own thanks and appreciate to the entire Asase family for their encouragement and support. I thank the Managers of Guinness Ghana Limited-Kumasi, for providing the data for the study. Finally, this effort would not be possible without my wife; her efforts and sacrifices have been of great helped towards the completion of this thesis. iii Abstract The proposed transportation model of manufacturing goods to customer (Key Distributors) is considered in this research. The data gathered were modelled as a Linear Programming model of transportation type and represent the transportation problem as tableau and solve it with the computer software solver to generate an optimal solution. This transportation model will be useful for making strategic decisions by the logistics managers Guinness Ghana LTD in making optimum allocation of the production from the two plants (KAASI and ACHIMOTA) to the various customers(key distributors) at a minimum transportation cost. iv Table of Contents Content Page Declaration................................................................................................................................................ i. Dedication…………………………….................................................................................................. ii. Acknowledgements………………………........................................................................................... iii. Abstract............................................................................................................................. iv CHAPTER 1: INTRODUCTION 1.1 A Brief Review of the Transportation Problem........................................................................ 1 1.2.0 Background to the Study. …..................................................................................................... 3 1.2.1 Background of company....................................................................................................... 6 1.2.1.1 COMPANY PROFILE.............................................................................................................. 6 1.2.1.3 Company Brands... ............................................................................................................. 7 1.2.1.4 Manufacturing................................................................................................................... 7 1.2.1.5 Warehouse......................................................................................................................................... 7 1, 2.16 Distribution............................................................................................................................... 8 1.3 Problem Statement. ......................…………………………........................................................... 8 1.4 Objective............................................................................................................................ 8 1.5 Methodology.................................................................................................................... 8 1.6 Justification........................…………………………………....................................... 9 1.7 Organization of Thesis.............................…………………………................................. 9 v CHAPTER 2: LITERATURE REVIEW 2.1 Definition................................................................................................................... 11 2.2 Literature Review....................................................................................................... 11 CHAPTER 3: METHODOLOGY 3.1 Introduction............................................................................................................... 19 3.2 Transportation problem.............................................................................................. 19 3.3 Mathematical Formulation............................................................................................. 20 3.3.1 The Decision variables........................................................................................ 21 3.3.2 The Objective Function........................................................................................ 21 3.3.4 The Constraints..................................................................................................... 22 3.4 Transportation Tableau............................................................................................ 25 3.5 Network Representation of Transportation Problem.................................................. 26 3.6. Solution for a Transportation Problem....................................................................... 29 3.6.1 Flow Chart Solution For the transportation Problem..................................................... 29 3.6.2 Solution Algorithm For the transportation Problem...................................................... 30 3.6. 3 Finding Initial Basic Feasible Solution of Balanced Transportation Problems.......... 31 3.6.3.1 Northwest Corner Method.................................................................................. 31 3.6.3.2 The Minimum Cell Cost Method....................................................................... 36 3.6.3.3 Vogel‟s Approximation Method......................................................................... 39 3.6.4 Methods for Solving Transportation Problems to Optimality............................... 43 3.6.4.1 An Optimal Solution.......................................................................................... 43 3.6.4.2 Stepping Stone Method...................................................................................... 45 3.6.4.3 The Modified Distribution Method.................................................................... 53 vi 3.7 Solving Transportation Problem with Mixed Constraints........................................ 57 3.7.21 Mathematical Model for the Transportation Problem with Mixed Constraints.... 58 3.7.2 Zero Point Method......................................................................................... 61 3.7.4 Optimal More-For-Less Procedure.......................................................................... 63 3.8 Sensitivity Analysis for the Transportation Problem................................................. 68 CHAPTER 4: DATA COLLECTIONS AND ANALYSIS 4.0 Introduction......................................................................................................... 69 4.1 Data Collection............................................................................................... 70 4.2 Data Source...................................................................................................... 70 4.3 JULY07-JUNE08 TRANSPORTATION MATRIX FOR GGL PROBLEM.... 71 4.3.1 Formulation Problem...................................................................................... 72 4.3.2 Optimal Solution-July2007-June2008......................................................... 73 4.3.3 Computational Procedure................................................................................ 75 4.3.4 Results and Discussions............................................................................ 76 4.3.5 The sensitivity Analysis..................................................................................... 78 4.4 JULY08-JUNE09 TRANSPORTATION MATRIX FOR GGL PROBLEM.... 79 4.4.1 Formulation Problem....................................................................................... 80 4.4.2 The Management Scientist Solution (July2008-June2009).......................... 81 4.3.4 Results and Discussions........................................................................... 84 vii CHAPTER 5: CONCLUSION AND RECOMMEMDATION 5.1 Conclusion...................................................................................................... 86 5.2 Recommendations........................................................................................... 87 REFERENCES...................................................................................................... 88 APPENDIX............................................................................................................. 91 viii LIST OF FIGURES Figure page Figure 1: Network Representation of the transportation problem............................... 26 Figure 2: The flow chart showing the transportation problem approach…………….. 29 ix

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This study is dedicated to Almighty God, Asase family, my wife Olivia from the two plants (KAASI and ACHIMOTA) to the various customers(key.
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