An Integrated Approach in Production Planning and Scheduling
(Sprache: Englisch)
This book presents an integrated model for production planning and scheduling as well as a lot-streaming procedure for job-shop scheduling. Of particular interest is the consistency of the decisions taken at the planning and scheduling levels as well as the...
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Produktinformationen zu „An Integrated Approach in Production Planning and Scheduling “
This book presents an integrated model for production planning and scheduling as well as a lot-streaming procedure for job-shop scheduling. Of particular interest is the consistency of the decisions taken at the planning and scheduling levels as well as the simple iterative method of resolution. The lot-streaming procedure is also simple and yields dramatic savings. Numerous numerical experiments are presented as well as illustrative figures and tables. The main benefit for the reader is a first attempt to derive an integrated and consistent model for planning and scheduling. The lot-streaming procedure is also new.
Klappentext zu „An Integrated Approach in Production Planning and Scheduling “
Production Management is a large field concerned with all the aspects related to production, from the very bottom decisions at the machine level, to the top-level strategic decisicns. In this book, we are concerned with production planning and scheduling aspects. Traditional production planning methodologies are based on a now widely ac cepted hierarchical decom?osition into several planning decision levels. The higher in the hierarchy, the more aggregate are the models and the more important are the decisions. In this book, we only consider the last two decision levels in the hierarchy, namely, the mid-term (or tacticaQ planning level and the short-term (or operationaQ scheduling level. In the literature and in practice, the decisions are taken in sequence and in a top-down approach from the highest level in the hierarchy to the bottom level. The decisions taken at some level in the hierarchy are constrained by those already taken at upper levels and in turn, must translate into feasible objectives for the next lower levels in the hierarchy. It is a common sense remark to say that the whole hierarchical decision process is coherent if the interactions between different levels in the hierarchy are taken into account so that a decision taken at some level in the hierarchy translates into a feasible objective for the next decision level in the hierarchy. However, and surpris ingly enough, this crucial consistency issue is rarely investigated and few results are available in the literature.
Inhaltsverzeichnis zu „An Integrated Approach in Production Planning and Scheduling “
I Production Planning and SchedulingI.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
... mehr
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
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
... weniger
Bibliographische Angaben
- Autoren: Stephane Dauzere-Peres , Jean-Bernard Lasserre
- 1994, Softcover reprint of the original 1st ed. 1994, XVI, 137 Seiten, 34 Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3540579052
- ISBN-13: 9783540579052
- Erscheinungsdatum: 27.05.1994
Sprache:
Englisch
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