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" An Integrated Approach in Production Planning and Scheduling "
by Stéphane Dauzère-Péres, Jean-Bernard Lasserre.
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BL
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748434
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b568390
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by Stéphane Dauzère-Péres, Jean-Bernard Lasserre.
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An Integrated Approach in Production Planning and Scheduling\ by Stéphane Dauzère-Péres, Jean-Bernard Lasserre.
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| Publication Statement
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Berlin, Heidelberg : Springer Berlin Heidelberg, 1994
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| Series Statement
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Lecture Notes in Economics and Mathematical Systems, 411
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| ISBN
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3540579052
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: 3642468047
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: 9783540579052
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: 9783642468049
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| Contents
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I Production Planning and Scheduling.- I.1 Production Management.- I.1.1 The Production System.- I.1.2 The Management System.- I.1.3 Classification of Planning Decisions.- I.2 Production Planning.- I.3 Production Scheduling.- I.4 Planning and Scheduling.- I.4.1 Planning and Scheduling: Hierarchical Approaches.- I.4.1.1 Deterministic Approaches.- I.4.1.2 Stochastic Approaches.- I.4.2 Planning and Scheduling: Integrated Approaches.- I.4.2.1 The Economic Lot Scheduling Problem.- I.4.2.2 Simultaneous Lotsizing and Scheduling [Afentakis 85].- I.4.2.3 Interaction between Planning and Scheduling [Fontan and Imbert 85].- I.4.2.4 Integrating Scheduling with Batching and Lotsizing [Potts and Van Wassenhove 92].- I.4.3 Planning and Scheduling: Various Approaches.- I.5 Conclusion.- II Job-Shop Sequencing and Scheduling.- II.1 Introduction.- II.2 Job-Shop Scheduling.- II.2.1 Definitions.- II.2.2 Exact Methods.- II.2.3 Heuristic Procedures.- II.2.3.1 List Scheduling Algorithms.- II.2.3.2 Other Methods.- II.3 The Shifting Bottleneck Procedure.- II.3.1 Introduction.- II.3.2 The Shifting Bottleneck Procedure.- II.3.3 The One-Machine Sequencing Problem.- II.3.3.1 Introduction.- II.3.3.2 Carlier's Algorithm.- II.3.4 Remarks on the Shifting Bottleneck Procedure.- II.4 A Modified Shifting Bottleneck Procedure.- II.4.1 Drawbacks of the Shifting Bottleneck Procedure.- II.4.2 The Dependent Job Algorithm.- II.4.3 A Modified Shifting Bottleneck Procedure.- II.4.4 Computational Experiments.- II.4.4.1 The 10 x 10 and 5 x 20 Classical Examples.- II.4.4.2 Computational Results.- II.4.5 Conclusion.- II.5 A Priority Rule-Based Dispatching Heuristic.- II.6 Conclusion.- III An Integrated Planning and Scheduling Model.- III.1 Introduction.- III.2 Notation and Definitions.- III.2.1 Job-Shop Scheduling.- III.2.2 Planning.- III.3 Integrating Planning and Scheduling Decisions.- III.3.1 Introduction.- III.3.2 Multi-Period Scheduling.- III.3.3 A Linear Model in Continuous Variables.- III.3.4 Necessary Conditions.- III.3.5 Sufficient Conditions.- III.3.6 An Integrated Model with Set-Up Times.- III.4 Solving Procedures.- III.4.1 A One-Pass Procedure.- III.4.2 An Iterative Procedure.- III.4.2.1 Introduction.- III.4.2.2 The Procedure.- III.4.2.3 The Scheduling Problem.- III.4.2.4 Convergence Properties.- III.5 First Computational Results.- III.5.1 With no Set-Up Time.- III.5.2 With Set-Up Times.- III.5.3 Other Computational Results.- III.6 Conclusion.- IV Various Resolution Strategies.- IV.1 Introduction.- IV.2 Two Multi-Period Scheduling Policies.- IV.2.1 The Global Scheduling Policy.- IV.2.1.1 The Modified Shifting Bottleneck (MSB) Procedure.- IV.2.1.2 A Priority Rule-Based Dispatching (PRD) Heuristic.- IV.2.1.3 Comparison between the Two Scheduling Methods.- IV.2.2 The Period by Period Scheduling Policy.- IV.2.2.1 The Modified Shifting Bottleneck (MSB) Procedure.- IV.2.2.2 A Priority Rule-Based Dispatching (PRD) Heuristic.- IV.2.2.3 Comparison between the Two Scheduling Methods.- IV.2.3 Comparison between the Two Scheduling Policies.- IV.2.4 Other Multi-Period Scheduling Policies.- IV.3 Influence of the Backlogging Cost.- IV.4 Rolling Horizpn.- V Extensions of the Model.- V.1 Introduction.- V.2 Subcontracting.- V.2.1 Model Modifications.- V.2.2 Experimental Results.- V.3 Work-In-Process Inventories.- V.3.1 Model Modifications.- V.3.2 Experimental Results.- V.4 Lot Streaming Option.- V.4.1 Model Modifications.- V.5 Conclusion.- VI Lot Streaming.- VI.1 Introduction.- VI.2 A Lot-Streaming Procedure.- VI.2.1 Notation and Definitions.- VI.2.2 An Integrated Model.- VI.2.3 An Iterative Procedure.- VI.2.4 The Rounding Procedure.- VI.2.5 The Model with Set-Up Times.- VI.2.6 A Lower Bound.- VI.3 Computational Results.- VI.3.1 The 6 x 6 and 10 x 10 Problems.- VI.3.2 Test on a Sample.- VI.3.3 With Set-Up Times.- VI.3.4 CPU Time and Number of Iterations.- VI.4 Impact on Lotsizing Models.- VI.5 Conclusion.- Conclusion.- List of Figures.- List of Tables.
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TS176.B978 1994
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Jean-Bernard Lasserre
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Stéphane Dauzère-Péres
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