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Titlebook: Supply Chain Management Under Fuzziness; Recent Developments Cengiz Kahraman,Başar Öztayşi Book 2014 Springer-Verlag Berlin Heidelberg 201

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1434-9922 es of supply chain management.Written and edited by leading .Supply Chain Management Under Fuzziness presents recently developed fuzzy models and techniques for supply chain management. These include: fuzzy PROMETHEE, fuzzy AHP, fuzzy ANP, fuzzy VIKOR, fuzzy DEMATEL, fuzzy clustering, fuzzy linear p
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Imprecise DEA Models to Assess the Agility of Supply Chainsn situations. Two patterns for agility of supply chains are introduced and the associated models are developed. The properties of the models are discussed. Finally, a real case study is provided to illustrate the application of proposed procedure and conclusion remarks are drawn.
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Fuzzy Methods for Demand Forecasting in Supply Chain Managementusing fuzzy time series are presented. In one of the examples, future enrollments of a university is forecasted using Hwang, Chen and Lee’s study and in the other example a company’s oil consumption is predicted using Singh’s algorithm. Finally, the forecasting accuracy of the methods is determined by using Mean Absolute Error (MAE).
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Supply Chain Management Under Fuzziness978-3-642-53939-8Series ISSN 1434-9922 Series E-ISSN 1860-0808
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