Production and inventory management with substitutions /

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Bibliographic Details
Author / Creator:Lang, J. Christian (Jan Christian)
Imprint:Berlin : Springer Verlag, c2010.
Description:xx, 258 p. : ill. ; 24 cm.
Language:English
Series:Lecture notes in economics and mathematical systems ; 636
Lecture notes in economics and mathematical systems ; 636.
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/7918000
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ISBN:9783642042461
3642042465
Notes:Based on the author's thesis, Technische Universität Darmstadt.
Includes bibliographical references and index.
Description
Summary:Quantitativeapproachesforsolvingproductionplanningandinventorymanagement problems in industry have gained growing importance in the past years. Due to the increasinguse of AdvancedPlanningSystems, a widespreadpracticalapplicationof the sophisticated optimization models and algorithms developed by the Production Management and Operations Research community now seem within reach. The possibility that productscan be replaced by certain substitute productsexists in various application areas of production planning and inventory management. Substitutions can be useful for a number of reasons, among others to circ- vent production and supply bottlenecks and disruptions, increase the service level, reduce setup costs and times, and lower inventories and thereby decrease ca- tal lockup. Considering the current trend in industry towards shorter product life cycles and greater product variety, the importance of substitutions appears likely to grow. Closely related to substitutions are ?exible bills-of-materials and recipes in multi-level production systems. However, so far, the aspect of substitutions has not attracted much attention in academic literature. Existing lot-sizing models matching complex requirements of industrial optimization problems (e.g., constrained capacities, sequence-dependent setups, multiple resources) such as the Capacitated Lot-Sizing Problem with Sequence-Dependent Setups (CLSD) and the General Lot-Sizing and Scheduling Problem for Multiple Production Stages (GLSPMS) do not feature in substitution options.
Item Description:Based on the author's thesis, Technische Universität Darmstadt.
Physical Description:xx, 258 p. : ill. ; 24 cm.
Bibliography:Includes bibliographical references and index.
ISBN:9783642042461
3642042465