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|a 10.1007/978-3-642-46804-9
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|a Dauzere-Peres, Stephane.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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| 245 |
1 |
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|a An Integrated Approach in Production Planning and Scheduling
|h [electronic resource] /
|c by Stephane Dauzere-Peres, Jean-Bernard Lasserre.
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| 250 |
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|a 1st ed. 1994.
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| 264 |
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1 |
|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 1994.
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| 300 |
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|a XVI, 137 p.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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|2 rdamedia
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| 347 |
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|a text file
|b PDF
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| 490 |
1 |
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|a Lecture Notes in Economics and Mathematical Systems,
|x 0075-8442 ;
|v 411
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| 490 |
1 |
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|a Springer eBook Collection
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| 505 |
0 |
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|a I Production Planning and Scheduling -- I.1 Production Management -- I.2 Production Planning -- I.3 Production Scheduling -- I.4 Planning and Scheduling -- I.5 Conclusion -- II Job-Shop Sequencing and Scheduling -- II.1 Introduction -- II.2 Job-Shop Scheduling -- II.3 The Shifting Bottleneck Procedure -- II.4 A Modified Shifting Bottleneck Procedure -- 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.3 Integrating Planning and Scheduling Decisions -- III.4 Solving Procedures -- III.5 First Computational Results -- III.6 Conclusion -- IV Various Resolution Strategies -- IV.1 Introduction -- IV.2 Two 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.3 Work-In-Process Inventories -- V.4 Lot Streaming Option -- V.5 Conclusion -- VI Lot Streaming -- VI.1 Introduction -- VI.2 A Lot-Streaming Procedure -- VI.3 Computational Results -- VI.4 Impact on Lotsizing Models -- VI.5 Conclusion -- Conclusion -- List of Figures -- List of Tables.
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| 520 |
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|a 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.
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| 590 |
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|a Loaded electronically.
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| 590 |
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|a Electronic access restricted to members of the Holy Cross Community.
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| 650 |
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|a Production management.
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| 650 |
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|a Organization.
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| 650 |
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|a Planning.
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| 650 |
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|a Economics.
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| 650 |
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|a Management science.
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| 690 |
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|a Electronic resources (E-books)
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| 700 |
1 |
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|a Lasserre, Jean-Bernard.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
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| 830 |
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|a Lecture Notes in Economics and Mathematical Systems,
|x 0075-8442 ;
|v 411
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| 830 |
|
0 |
|a Springer eBook Collection.
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://doi.org/10.1007/978-3-642-46804-9
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