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Optimization of Integrated Supply Chain Planning under Multiple Uncertainty

E-BookPDF1 - PDF WatermarkE-Book
188 Seiten
Englisch
Springer Berlin Heidelbergerschienen am27.05.20152015
âThe subject of this book is supply chain logistics planning optimization under multiple uncertainties, the key issue in supply chain management.  Focusing on the strategic-alliance three-level supply chain, the model of supply chain logistics planning was established in terms of the market prices and the market requirements as random variables of manufactured goods with random expected value programming theory, and the hybrid intelligence algorithm solution model was designed. Aiming at the decentralized control supply chain, in which the nodes were unlimited expansion, the chance-constrained stochastic programming model was created in order to obtain optimal decision-making at a certain confidence level. In addition, the hybrid intelligence algorithm model was designed to solve the problem of supply chain logistics planning with the prices of the raw-materials supply market of the upstream enterprises and the prices of market demand for products of the downstream enterprises as random variables in the supply chain unit. Aimed at the three-stage mixed control supply chain, a logistics planning model was designed using fuzzy random programming theory with customer demand as fuzzy random variables and a hybrid intelligence algorithm solution was created. The research has significance both in theory and practice. Its theoretical significance is that the research can complement and perfect existing supply chain planning in terms of quantification. Its practical significance is that the results will guide companies in supply chain logistics planning in the uncertain environment.mehr
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BuchKartoniert, Paperback
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BuchGebunden
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E-BookPDF1 - PDF WatermarkE-Book
EUR53,49

Produkt

KlappentextâThe subject of this book is supply chain logistics planning optimization under multiple uncertainties, the key issue in supply chain management.  Focusing on the strategic-alliance three-level supply chain, the model of supply chain logistics planning was established in terms of the market prices and the market requirements as random variables of manufactured goods with random expected value programming theory, and the hybrid intelligence algorithm solution model was designed. Aiming at the decentralized control supply chain, in which the nodes were unlimited expansion, the chance-constrained stochastic programming model was created in order to obtain optimal decision-making at a certain confidence level. In addition, the hybrid intelligence algorithm model was designed to solve the problem of supply chain logistics planning with the prices of the raw-materials supply market of the upstream enterprises and the prices of market demand for products of the downstream enterprises as random variables in the supply chain unit. Aimed at the three-stage mixed control supply chain, a logistics planning model was designed using fuzzy random programming theory with customer demand as fuzzy random variables and a hybrid intelligence algorithm solution was created. The research has significance both in theory and practice. Its theoretical significance is that the research can complement and perfect existing supply chain planning in terms of quantification. Its practical significance is that the results will guide companies in supply chain logistics planning in the uncertain environment.
Details
Weitere ISBN/GTIN9783662472507
ProduktartE-Book
EinbandartE-Book
FormatPDF
Format Hinweis1 - PDF Watermark
FormatE107
Erscheinungsjahr2015
Erscheinungsdatum27.05.2015
Auflage2015
Seiten188 Seiten
SpracheEnglisch
IllustrationenXVII, 188 p. 47 illus.
Artikel-Nr.1725322
Rubriken
Genre9200

Inhalt/Kritik

Inhaltsverzeichnis
¿Preface.- List of Main Symbols.- Introduction.- Literature Overview.- Customers demand forecasting dynamic equation models and weight distribution method of combination prediction.- Strategic alliance model for supply chain with parameters.- Model and algorithm of decentralized control supply chain logistics planning under uncertain environment.- Optimization of a hybrid supply chain under uncertain situation.- Conclusion and Future Work.mehr

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