Stochastic Modeling and Optimization of Manufacturing Systems and Supply Chains

Inbunden, Engelska, 2003

Av J. George Shanthikumar, David D. Yao, W.H.M. Zijm, W. H. M. Zijm

2 069 kr

Beställningsvara. Skickas inom 10-15 vardagar

Fri frakt för medlemmar vid köp för minst 249 kr.

The editors have taken the occasion of Professor John A. Buzacott's retirement as a motivating event to develop this volume. The objective of this text is to both honour John Buzacott's achievements and to publish a set of chapters on cutting-edge topics in the field of manufacturing and supply chain management. The book is organized into two parts. The first part focuses on aspects of manufacturing systems modelling. This part includes chapters on the evolution of manufacturing systems modelling, queuing network models and related software technologies, two-moment approximation for fork/join queues, and asymptotic optimality of a scheduling policy. The second part focuses on production-inventory systems and supply chains.This second section includes chapters on a multi-echelon logistics system, optimal control of a substitutable inventory system, structured assemble-to-order systems, the impact of advance demand information on various production-inventory control mechanisms, the quality of demand information as it impacts flexible contracts, the supply of information goods using spot and forward pricing strategies, modelling frameworks that connect material flows with financial information flows.

Produktinformation

Utgivningsdatum2003-07-31
Mått155 x 235 x 28 mm
Vikt805 g
FormatInbunden
SpråkEngelska
SerieInternational Series in Operations Research & Management Science
Antal sidor411
FörlagKluwer Academic Publishers
ISBN9781402075087

Tillhör följande kategorier

1 A Tribute to John A. Buzacott.- 2 Publications of John A. Buzacott.- 3 Evolution of Manufacturing System Models.- 3.1 Introduction.- 3.2 Machine Interference.- 3.3 Transfer Lines and Automated Flow Lines.- 3.4 Job Shops and Flexible Manufacturing Systems.- 3.5 Work Flow Control.- 3.6 Structure and Organization of Manufacturing Systems.- 3.7 People in Manufacturing.- 3.8 Conclusions.- 4 Reflections on Stochastic Manufacturing Models for Planning Decisions.- 4.1 The Planning/Scheduling Conflict and its Remedies.- 4.2 I-CLIPS: An Example of a Stochastic Model of a Manufacturing System.- 4.3 Conclusions.- 4.4 Appendix.- 5 Two-Moment Approximations for Fork/Join Stations.- 5.1 Motivation.- 5.2 Background.- 5.3 Insights from Exact Analysis.- 5.4 General Form of the Two-Moment Approximations.- 5.5 Detailed Approximations and their Accuracy.- 5.6 A Numerical Example.- 5.7 Conclusions and Extensions.- 5.8 Appendix.- 6 Asymptotic Optimal Control of Queues with Feedback.- 6.1 Introduction.- 6.2 Multi-class Queueing with Feedback.- 6.3 Optimal Control for M/G/1 Queues.- 6.4 Asymptotic Optimality for G/G/1 Queues with Feedback.- 6.5 An Example: Brownian Limit May Not Give Strongly Asymptotically optimal Solutions.- 7 Multi-Echelon, Multi-Indenture Spare Parts Systems.- 7.1 Introduction.- 7.2 Modeling general spare parts support systems.- 7.3 Exact Analysis.- 7.4 An approximate evaluation procedure.- 7.5 Field tests at the Royal Netherlands Navy.- 7.6 Conclusion.- 8 Substitutable Inventory: Single- and Multi-Period Models.- 8.1 Model Description.- 8.2 The Optimal Substitution Policy.- 8.3 The Optimal Replenishment Policy.- 8.4 Multi-Period Problems.- 8.5 Bibliographical Notes.- 8.6 Appendix.- 9 Evaluation and Optimization Of Strongly Ideal ATO Systems.- 9.1 Introduction.- 9.2 Analysis of an ATO System.- 9.3 Computational Analysis of a Strongly Ideal ATO system.- 9.4 Validation.- 9.5 Optimal Base Stock Control of ATO Systems.- 9.6 Summary and Conclusions.- 10 Production/Inventory Control with Advance Demand Information.- 10.1 Introduction.- 10.2 Literature Review.- 10.3 Single Stage Systems with Advance Demand Information.- 10.4 Multi-Stage Systems with Advance Demand Information.- 10.5 Conclusions.- 11 Multi-Stage Control with Lot Sizing and Advance Demand Information.- 11.1 Introduction.- 11.2 Modelling Assumptions.- 11.3 Installation Stock (IS) and Echelon Stock (ES) Policies with ADI.- 11.4 Installation Kanban (IK) and Echelon Kanban (EK) Policies.- 11.5 Hybrid IK/IS and IK/ES Policies with ADI.- 11.6 Properties of Hybrid Policies A, B and C.- 11.7 Evolution Equations of Hybrid Policies A, B and C.- 11.8 Conclusions.- 11.9 Appendix: Notations and Abbreviations.- 12 Impact of Demand Signal Quality.- 12.1 Introduction.- 12.2 Literature Review.- 12.3 Model.- 12.4 Impact of Demand Signal Quality.- 12.5 Conclusion.- 12.6 Appendix.- 13 Forward and Spot Buying: Yield Management of Information Goods.- 13.1 Introduction.- 13.2 The Single Seller Model.- 13.3 The Consumer’s Decision.- 13.4 Consumer Surplus and Demand.- 13.5 The Price-Taker’s Problem.- 13.6 The Price-Setter’s Problem.- 13.7 Conclusions.- 14 Financial Flows and Material Flows.- 14.1 Introduction.- 14.2 Managing the Firm.- 14.3 Flow Model.- 14.4 Transaction Networks.- 14.5 Summary and Conclusions.