| Description |
1 online resource (370 pages) |
| Contents |
Foreword; Acknowledgements; Table of Contents; List of Tables; List of Figures; Chapter 1 Introduction; 1.1 Purpose; 1.2 Key Definitions; 1.3 History of Supply Chains; 1.4 Early supply chain initiatives; 1.5 Growth of interest in supply chains in the 20th century; 1.6 Accelerated growth of interest in supply chains in the 21st century; 1.7 Planning with Uncertain Supply Chains; Chapter 2 Concepts and Definitions; 2.1 Supply Chain (Networks); 2.2 Supply Chain, under Uncertainty and/or Planning, Optimisation Techniques |
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2.2.1 Singular Optimisation under Uncertainty or Planning Techniques currently available for Supply Chain Networks2.2.2 Combinational Optimisation under Uncertainty Techniques currently available for Supply Chain Networks; 2.3 Optimisation of Supply Chain Network under Uncertainty; 2.3.1 Introduction; 2.3.2 Nature and degree of SCN operational planning and Uncertainty; 2.4 General Definitions; 2.4.1 Monte Carlo simulation; 2.4.2 Lamont Boiler; 2.4.3 SAA -- Sample Average Approximation method; 2.4.4 Benders decomposition algorithm; 2.4.5 The Stackelberg leadership model |
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2.4.6 Lexicographic Min-Max (LMM) optimisationChapter 3 Conceptual Foundation and core research concepts; 3.1 Introduction; 3.2 Establishment of Literature Research portfolio based on degree of conformance with identified Core Research Concepts; 3.3 Planning the Research; Chapter 4 Research and Development; 4.1 Introduction; 4.2 Multi-objective Fuzzy Optimisation of a Supply Chain under Uncertainty; 4.2.1 Introduction; 4.2.2 Problem Description; 4.2.3 Optimisation Technique for the Multi-objective Fuzzy uncertain Supply Chain environment; 4.2.4 Numerical Example |
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4.2.5 Extraction of the Supply Chain Optimisation Technique under Multi-objective Fuzzy Uncertainty4.2.6 Conclusion; 4.3 Optimisation of a Supply Chain Network under Multi-objective Fuzzy Stochastic (probabilistic scenarios) Uncertainty; 4.3.1 Introduction; 4.3.2 Deterministic production model; 4.3.3 Incorporating uncertainty into the model; 4.3.4 Production planning with demand uncertainty; 4.3.5 Case study; 4.3.6 Extraction of the Optimisation of the supply Chain under Multi-objective Stochastic Uncertainty Technique; 4.3.7 Conclusion |
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4.4 Optimisation of a Supply Chain Network under Multi-objective Stochastic Fuzzy Uncertainty4.4.1 Introduction; 4.4.2 Problem Description; 4.4.3 Multi-objective Stochastic Model; 4.4.4 Extraction of the Optimisation under Multi-objective Stochastic Fuzzy Uncertainty Technique; 4.4.5 Conclusion; 4.5 Optimisation of a Supply Chain Network, under different configuration scenarios, and subject to conditions of Multi-objective Fuzzy Uncertainty; 4.5.1 Introduction; 4.5.2 Description of Problem; 4.5.3 Generation of a program model for a global production and distribution network; 4.5.4 Case Study |
| Notes |
4.5.5 Extraction of the 'Optimisation of a Supply Chain Network under Multi-objective Fuzzy Uncertainty' Technique |
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Print version record |
| Subject |
Business logistics.
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Business logistics -- Mathematical models
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Uncertainty -- Mathematical models.
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Mathematical optimization.
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Business logistics
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Business logistics -- Mathematical models
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Mathematical optimization
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Uncertainty -- Mathematical models
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| Form |
Electronic book
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| ISBN |
9781622730469 |
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1622730461 |
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