Póvoa / Corominas / de Miranda Optimization and Decision Support Systems for Supply Chains

1. Auflage 2017
ISBN: 978-3-319-42421-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 198 Seiten, eBook

Reihe: Lecture Notes in Logistics

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

Zielgruppe

Research

Autoren/Hrsg.

Póvoa, Ana Paula Barbosa

Corominas, Albert

de Miranda, João Luís

Inhaltsverzeichnis

1;Preface;6
2;Acknowledgements;8
2.1;Lecturers from Partner Institutions;8
2.2;Talkers from Collaborating Companies;8
2.3;Support;9
2.4;Partners;10
3;Contents;12
4;Contributors;14
5;1 Optimising Sustainable Supply Chains: A Summarised View of Current and Future Perspectives;16
5.1;Abstract;16
5.2;1 Introduction;16
5.3;2 The Extended Supply Chains Concept;17
5.4;3 Optimising Supply Chains Towards Sustainability;19
5.5;4 Conclusions and Future Research Agenda;22
5.6;References;24
6;2 Enterprise Systems and Supply Chains;27
6.1;Abstract;27
6.2;1 Introduction;27
6.3;2 The Six Forces of IT;28
6.3.1;2.1 The Digitalization of Everything;29
6.3.2;2.2 The Standardization of the Unique;30
6.3.3;2.3 The Commoditization of Processes;31
6.3.4;2.4 The Consumerization of Technology;32
6.3.5;2.5 The Co-creation of Value;34
6.3.6;2.6 The Disintegration of Systems;35
6.4;Further Reading;36
7;3 Downstream Oil Products Distribution Planning: A Portuguese Case Study;38
7.1;Abstract;38
7.2;1 Introduction;39
7.3;2 Literature Review;40
7.4;3 Problem Definition;42
7.4.1;3.1 Mathematical Formulation;42
7.5;4 Case Study and Results;45
7.5.1;4.1 Case Study Summary;45
7.5.2;4.2 Case Study Results and T2S.Opt Decision Support Tool;47
7.5.2.1;4.2.1 Normal Distribution Scenario;47
7.5.2.2;4.2.2 Abnormal Scenario: Closure of CLC;47
7.5.2.3;4.2.3 Abnormal Scenario: Closure of Sines;48
7.5.2.4;4.2.4 Abnormal Scenario: Fleet Unavailability;49
7.5.2.5;4.2.5 Fleet Resize and Reallocation;51
7.5.3;4.3 Computational Results;52
7.6;5 Conclusions and Further Work;52
7.7;Acknowledgments;53
7.8;References;53
8;4 Reverse Logistics: Concept, Evolution and Marketing Challenges;54
8.1;Abstract;54
8.2;1 Introduction;55
8.3;2 Reverse Logistics: An Overview;55
8.4;3 Reverse Logistics in the Supply Chain Context;59
8.5;4 Research Challenges for the Next Years;62
8.5.1;4.1 Competition;63
8.5.2;4.2 Cannibalization;66
8.5.3;4.3 The Purchase Intention for Remanufactured Products;66
8.5.4;4.4 The Willingness to Pay for Remanufactured Products;68
8.5.5;4.5 Consumer Perceptions of Remanufactured Products;69
8.6;5 Conclusions;70
8.7;Acknowledgments;71
8.8;References;71
9;5 Optimization Concepts—I: Introductory Level;75
9.1;Abstract;75
9.2;1 Introduction;75
9.3;2 Linear Programming (LP);76
9.4;3 Transportation Problem and special cases;78
9.5;4 The Transportation Problem;78
9.6;5 The Production Scheduling;82
9.7;6 The Transshipment Problem and the Assignment Problem;83
9.8;7 Integer Programming by Branch-and-Bound;85
9.9;Acknowledgments;88
9.10;References;88
10;6 Optimization Concepts: II—A More Advanced Level;90
10.1;Abstract;90
10.2;1 Introduction;91
10.3;2 Robust Model for Flexible Processes Planning;92
10.3.1;2.1 Concluding Remarks on the Robust Process Planning;97
10.4;3 Robust Model for Design and Scheduling of Batch Processes;98
10.4.1;3.1 Concluding Remarks on Robust Design and Scheduling;105
10.5;4 Conclusions;106
10.6;Acknowledgments;106
10.7;Appendix 1: Technical and Economic Estimators;106
10.8;References;107
11;7 Multiobjective Interval Transportation Problems: A Short Review;109
11.1;Abstract;109
11.2;1 Introduction;110
11.3;2 Theoretical Underpinning of MOITP;111
11.3.1;2.1 Interval Numbers and Interval Order Relations;111
11.3.2;2.2 MOLP Models with Interval Coefficients and Parameters;113
11.3.3;2.3 MOITP Formulation;115
11.4;3 Solution Methods for MOITP;116
11.4.1;3.1 Advantages and Disadvantages of Solution Methods;119
11.5;4 Conclusions;123
11.6;Acknowledgments;124
11.7;References;124
12;8 Lean Management and Supply Chain Management: Common Practices;127
12.1;Abstract;127
12.2;1 Introduction;127
12.3;2 What is Lean Really?;129
12.4;3 SCM and Lean;131
12.5;4 Lean Supply Chain (LSC);133
12.6;5 Value Stream Management;136
12.7;6 Conclusions;138
12.8;References;138
13;9 Multi-echelon Supply Chain Optimization: Methods and Application Examples;140
13.1;Abstract;140
13.2;1 Introduction;140
13.2.1;1.1 Monotone Approximate Relative Value Iteration;141
13.3;2 Application for Multiple Sourcing;142
13.4;3 Application for Dynamic Inventory Allocation;144
13.5;4 Conclusions;146
13.6;References;147
14;10 Optimization Lab Sessions: Major Features and Applications of IBM CPLEX;148
14.1;Abstract;148
14.2;1 Introduction;149
14.3;2 Topics in Mathematical Programming and Constraint Programming;149
14.4;3 Topics in IBM CPLEX;154
14.5;4 Conclusions;158
14.6;References;159
15;11 An Introduction to the Resource Constrained Project Scheduling Problem Solving Techniques;160
15.1;Abstract;160
15.2;1 Introduction;161
15.3;2 Basic Notions on the Project Scheduling Problem;161
15.3.1;2.1 Graph Method;163
15.3.2;2.2 Heuristic Methods;164
15.4;3 A Case of Project Scheduling;167
15.5;4 Project Scheduling: MILP Model;174
15.6;5 Conclusions and Final Comments;177
15.7;Acknowledgments;177
15.8;References;177
16;12 Sustainability Analysis of Industrial Processes;179
16.1;Abstract;179
16.2;1 Introduction;179
16.3;2 Sustainability Analysis Concept;181
16.4;3 The Sustainability Pillars and Their Assessment;184
16.4.1;3.1 Methodologies and Tools to Address the Economic Pillar;184
16.4.2;3.2 Methodologies and Tools to Address the Environmental Pillar;186
16.4.3;3.3 Methodologies to Address the Social Pillar;189
16.4.4;3.4 Incorporating and Assessing Sustainability in Industrial Processes;191
16.5;4 Integrated Methodologies;192
16.6;5 Conclusions and Future Work;195
16.7;References;196