Stochastic optimization methods for supply chains with perishable products
Michael A. Völkel
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Michael A. Völkel, Stochastic optimization methods for supply chains with perishable products (2020), Logos Verlag, Berlin, ISBN: 9783832586775
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Beschreibung / Abstract
This book deals with inventory systems in supply chains that face risks that could render products unsalable. These risks include possible cooling system failures, transportation risks, packaging errors, handling errors, or natural quality deterioration over time like spoilage of food or blood products. Classical supply chain inventory models do not regard these risks. This thesis introduces novel cost models that consider these risks. It also analyzes how real-time tracking with RFID sensors and smart containers can contribute to decision making. To solve these cost models, this work presents new solution methods based on dynamic programming. In extensive computational studies both with experimental as well as real-life data from large players in the retailer industry, the solution methods prove to lead to substantially lower costs than existing solution methods and heuristics.
Inhaltsverzeichnis
- BEGINN
- 1 Introduction
- 1.1 Motivation
- 1.2 Outline
- 1.3 Contribution
- 2 Foundations
- 2.1 Periodic review models
- 2.2 Random yield modeling
- 2.3 Dynamic programming and related solution methods
- 3 A DP approach for the periodic review model with random yield
- 3.1 Abstract
- 3.2 Introduction
- 3.3 Literature review
- 3.4 Model formulation
- 3.5 Solution approaches
- 3.6 Computational results
- 3.7 Conclusion
- 3.A List of symbols
- 3.B Proof of Lemma 3.4.1
- 3.C Proof of Lemma 3.4.2
- 3.D Proof of Theorem 3.4.1
- 3.E Proof of Theorem 3.4.2
- 3.F Proof of Proposition 3.4.1
- 3.G Proof of Proposition 3.4.2
- 3.H Proof of Proposition 3.4.3
- 3.I Deterministic period review cost
- 3.J Proof of Proposition 3.4.4
- 3.K Proof of Proposition 3.5.1
- 3.L Approximate value iteration enhanced by structural findings
- 3.M Proof of Proposition 3.5.2
- 3.N Hierarchical approximate dynamic programming algorithm
- 3.O Tables
- 3.P Figures
- 4 The periodic review model with independent age-dependent lifetimes
- 4.1 Abstract
- 4.2 Introduction
- 4.3 Literature review
- 4.4 Model for FIFO inventory depletion policy
- 4.5 Policies
- 4.6 Numerical study
- 4.7 Conclusion
- 4.A List of symbols
- 4.B Proof of Proposition 5.3.1
- 5 Ordering policies for perishable products under LIFO depletion policies
- 5.1 Abstract
- 5.2 Introduction and literature review
- 5.3 Model formulation
- 5.4 Computational results
- 5.5 Conclusion
- 5.A List of symbols
- 6 Conclusion
- 6.1 Summary of key results
- 6.2 Critical review
- 6.3 Directions for future research
- Bibliography