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231204s2009 xx o ||||0 eng d |
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|a 9783631753866
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|z 9783631594094
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|a (MiAaPQ)EBC30686346
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|a (Au-PeEL)EBL30686346
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|a (OCoLC)1399167787
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|a MiAaPQ
|b eng
|e rda
|e pn
|c MiAaPQ
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|a Quante, Rainer.
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|a Management of Stochastic Demand in Make-To-Stock Manufacturing.
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|a 1st ed.
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|a Frankfurt a.M. :
|b Peter Lang GmbH, Internationaler Verlag der Wissenschaften,
|c 2009.
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|c Ã2010.
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|a 1 online resource (134 pages)
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Forschungsergebnisse der Wirtschaftsuniversitaet Wien Series ;
|v v.37
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|a Cover -- List of Figures -- List of Tables -- Nomenclature -- 1 Introduction -- 1.1 Research Topic and Motivation -- 1.2 Organization, Objectives and Contributions -- 2 Demand Fulfillment in Make-to-Stock Manufacturing -- 2.1 Make-to-Stock and the Customer Order Decoupling Point -- 2.2 Structure of Advanced Planning Systems -- 2.3 Available-to-Promise -- 2.3.1 Definition -- 2.3.2 Dimensions of ATP -- 3 A Framework for Demand Management -- 3.1 Demand Management Defined -- 3.2 General Model Types for DM -- 3.2.1 Classifying Demand Management Models -- 3.2.2 Single-Class Exogenous Demand Models -- 3.2.3 Price-Based Demand Models -- 3.2.4 Quantity-Based Demand Models -- 3.3 General Software Types for DM -- 3.3.1 Classifying Demand Management Software -- 3.3.2 Single-Class Exogenous Demand Solutions -- 3.3.3 Price-Based Solutions -- 3.3.4 Quantity-Based Solutions -- 4 Demand Management Models in MTS Manufacturing -- 4.1 Matching of Model and Software Types -- 4.2 Quantity-Based DM in Manufacturing -- 4.2.1 Traditional Revenue Management -- 4.2.2 Allocated Available-to-Promise -- 4.2.3 Inventory Rationing -- 4.3 A Selected Allocation and Order Promising Model -- 4.3.1 Models Without Customer Segmentation -- 4.3.2 Models With Customer Segmentation -- 4.3.3 Search Rules for ATP Consumption -- 4.4 Summary -- 5 New Demand Management Approaches -- 5.1 A Revenue Management Approach -- 5.1.1 Model formulation -- 5.1.2 Structural properties and optimal policy -- 5.1.3 A Numerical Example -- 5.2 Approximations Based on Linear Programming -- 5.2.1 Deterministic Linear Programming -- 5.2.2 Randomized Linear Programming -- 6 Simulation Environment -- 6.1 Technical Settings and Implementation Issues -- 6.1.1 Test Environment -- 6.1.2 Implementation Issues -- 6.2 Simulation Issues -- 6.2.1 Data Generation -- 6.2.2 Simulation Options.
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|a 6.2.3 Output and Key Performance Indicators -- 7 Numerical Analysis -- 7.1 SOPA in Stochastic Environments -- 7.1.1 Base Case Analysis -- 7.1.2 Impact of Customer Classes -- 7.1.3 Impact of Customer Heterogeneity -- 7.1.4 Impact of Forecast Errors -- 7.1.5 Impact of Backlogging Costs -- 7.2 Analysis of the Revenue Management Approach -- 7.2.1 Base Case Analysis -- 7.2.2 Impact of Demand Variability -- 7.2.3 Impact of Customer Heterogeneity -- 7.2.4 Impact of Supply Shortage -- 7.3 Analysis of Randomized Linear Programming -- 7.4 Summary -- 8 Conclusion -- Appendix -- A Proofs of the Structural Properties of the RM approach -- B Data Tables.
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|a Description based on publisher supplied metadata and other sources.
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|a Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2023. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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|a Electronic books.
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|i Print version:
|a Quante, Rainer
|t Management of Stochastic Demand in Make-To-Stock Manufacturing
|d Frankfurt a.M. : Peter Lang GmbH, Internationaler Verlag der Wissenschaften,c2009
|z 9783631594094
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| 797 |
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|a ProQuest (Firm)
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| 830 |
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|a Forschungsergebnisse der Wirtschaftsuniversitaet Wien Series
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| 856 |
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|u https://ebookcentral.proquest.com/lib/matrademy/detail.action?docID=30686346
|z Click to View
|
