Optimization and Decision Support Systems for Supply Chains (eBook)

Ana Paula Barbosa Póvoa, Albert Corominas, João Luís de Miranda (Herausgeber)

eBook Download: PDF

2016 | 1st ed. 2017
XIV, 190 Seiten
Springer International Publishing (Verlag)
978-3-319-42421-7 (ISBN)

Infos

This contributed volume presents a collection of materials on supply chain management including industry-based case studies addressing petrochemical, pharmaceutical, manufacturing and reverse logistics topics. Moreover, the book covers sustainability issues, as well as optimization approaches. The target audience comprises academics, industry managers, and practitioners in the field of supply chain management, being the book also beneficial for graduate students

Inhalt

Preface 6
Acknowledgements 8
Lecturers from Partner Institutions 8
Talkers from Collaborating Companies 8
Support 9
Partners 10
Contents 12
Contributors 14
1 Optimising Sustainable Supply Chains: A Summarised View of Current and Future Perspectives 16
Abstract 16
1 Introduction 16
2 The Extended Supply Chains Concept 17
3 Optimising Supply Chains Towards Sustainability 19
4 Conclusions and Future Research Agenda 22
References 24
2 Enterprise Systems and Supply Chains 27
Abstract 27
1 Introduction 27
2 The Six Forces of IT 28
2.1 The Digitalization of Everything 29
2.2 The Standardization of the Unique 30
2.3 The Commoditization of Processes 31
2.4 The Consumerization of Technology 32
2.5 The Co-creation of Value 34
2.6 The Disintegration of Systems 35
Further Reading 36
3 Downstream Oil Products Distribution Planning: A Portuguese Case Study 38
Abstract 38
1 Introduction 39
2 Literature Review 40
3 Problem Definition 42
3.1 Mathematical Formulation 42
4 Case Study and Results 45
4.1 Case Study Summary 45
4.2 Case Study Results and T2S.Opt Decision Support Tool 47
4.2.1 Normal Distribution Scenario 47
4.2.2 Abnormal Scenario: Closure of CLC 47
4.2.3 Abnormal Scenario: Closure of Sines 48
4.2.4 Abnormal Scenario: Fleet Unavailability 49
4.2.5 Fleet Resize and Reallocation 51
4.3 Computational Results 52
5 Conclusions and Further Work 52
Acknowledgments 53
References 53
4 Reverse Logistics: Concept, Evolution and Marketing Challenges 54
Abstract 54
1 Introduction 55
2 Reverse Logistics: An Overview 55
3 Reverse Logistics in the Supply Chain Context 59
4 Research Challenges for the Next Years 62
4.1 Competition 63
4.2 Cannibalization 66
4.3 The Purchase Intention for Remanufactured Products 66
4.4 The Willingness to Pay for Remanufactured Products 68
4.5 Consumer Perceptions of Remanufactured Products 69
5 Conclusions 70
Acknowledgments 71
References 71
5 Optimization Concepts—I: Introductory Level 75
Abstract 75
1 Introduction 75
2 Linear Programming (LP) 76
3 Transportation Problem and special cases 78
4 The Transportation Problem 78
5 The Production Scheduling 82
6 The Transshipment Problem and the Assignment Problem 83
7 Integer Programming by Branch-and-Bound 85
Acknowledgments 88
References 88
6 Optimization Concepts: II—A More Advanced Level 90
Abstract 90
1 Introduction 91
2 Robust Model for Flexible Processes Planning 92
2.1 Concluding Remarks on the Robust Process Planning 97
3 Robust Model for Design and Scheduling of Batch Processes 98
3.1 Concluding Remarks on Robust Design and Scheduling 105
4 Conclusions 106
Acknowledgments 106
Appendix 1: Technical and Economic Estimators 106
References 107
7 Multiobjective Interval Transportation Problems: A Short Review 109
Abstract 109
1 Introduction 110
2 Theoretical Underpinning of MOITP 111
2.1 Interval Numbers and Interval Order Relations 111
2.2 MOLP Models with Interval Coefficients and Parameters 113
2.3 MOITP Formulation 115
3 Solution Methods for MOITP 116
3.1 Advantages and Disadvantages of Solution Methods 119
4 Conclusions 123
Acknowledgments 124
References 124
8 Lean Management and Supply Chain Management: Common Practices 127
Abstract 127
1 Introduction 127
2 What is Lean Really? 129
3 SCM and Lean 131
4 Lean Supply Chain (LSC) 133
5 Value Stream Management 136
6 Conclusions 138
References 138
9 Multi-echelon Supply Chain Optimization: Methods and Application Examples 140
Abstract 140
1 Introduction 140
1.1 Monotone Approximate Relative Value Iteration 141
2 Application for Multiple Sourcing 142
3 Application for Dynamic Inventory Allocation 144
4 Conclusions 146
References 147
10 Optimization Lab Sessions: Major Features and Applications of IBM CPLEX 148
Abstract 148
1 Introduction 149
2 Topics in Mathematical Programming and Constraint Programming 149
3 Topics in IBM CPLEX 154
4 Conclusions 158
References 159
11 An Introduction to the Resource Constrained Project Scheduling Problem Solving Techniques 160
Abstract 160
1 Introduction 161
2 Basic Notions on the Project Scheduling Problem 161
2.1 Graph Method 163
2.2 Heuristic Methods 164
3 A Case of Project Scheduling 167
4 Project Scheduling: MILP Model 174
5 Conclusions and Final Comments 177
Acknowledgments 177
References 177
12 Sustainability Analysis of Industrial Processes 179
Abstract 179
1 Introduction 179
2 Sustainability Analysis Concept 181
3 The Sustainability Pillars and Their Assessment 184
3.1 Methodologies and Tools to Address the Economic Pillar 184
3.2 Methodologies and Tools to Address the Environmental Pillar 186
3.3 Methodologies to Address the Social Pillar 189
3.4 Incorporating and Assessing Sustainability in Industrial Processes 191
4 Integrated Methodologies 192
5 Conclusions and Future Work 195
References 196

Produkt-Details

• Erscheint lt. Verlag: 13.9.2016
• Reihe/Serie: Lecture Notes in Logistics
• Reihe/Serie: Lecture Notes in Logistics
• Zusatzinfo: XIV, 190 p. 56 illus., 35 illus. in color.
• Verlagsort: Cham
• Sprache: englisch
• Themenwelt: Technik
• Themenwelt: Wirtschaft ► Betriebswirtschaft / Management ► Logistik / Produktion
• Themenwelt: Wirtschaft ► Betriebswirtschaft / Management ► Planung / Organisation
• Schlagworte: Decision Support Systems • Engineering Economics • Manufacturing Logistics • Optimization Approaches in Logistics • Petrochemical Logistics • Supply Chain Management
• ISBN-10: 3-319-42421-1 / 3319424211
• ISBN-13: 978-3-319-42421-7 / 9783319424217