Supply Chain Execution and Management (SCEM) system is an enterprise application that integrates all necessary supply chain functions into a single system. In order to execute and manage supply chain processes successfully in an organization, it is necessary to evaluate a suitable system. For this reason, this paper focuses on the evaluation model of the proper and comprehensive remedy for the SCEM system. However, SCEM system evaluation is a kind of multiple attribute decision-making problem associated with uncertainty and complexity, which requires considering a large number of complex factors as multiple evaluation criteria. To cope with this ambiguity and vagueness, a fuzzy logic approach is adopted and to achieve evaluation process a Fuzzy Analytic Hierarchy Process and Fuzzy Technique for Order Preference by Similarity to Ideal Solution integrated model demonstrated. A real life example is given to demonstrate the capability of the proposed model.
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Supply Chain Execution and Management (SCEM) system is an enterprise application that integrates all necessary supply chain functions into a single system. In order to execute and manage supply chain processes successfully in an organization, it is necessary to evaluate a suitable system. For this reason, this paper focuses on the evaluation model of the proper and comprehensive remedy for the SCEM system. However, SCEM system evaluation is a kind of multiple attribute decision-making problem associated with uncertainty and complexity, which requires considering a large number of complex factors as multiple evaluation criteria. To cope with this ambiguity and vagueness, a fuzzy logic approach is adopted and to achieve evaluation process a Fuzzy Analytic Hierarchy Process and Fuzzy Technique for Order Preference by Similarity to Ideal Solution integrated model demonstrated. A real life example is given to demonstrate the capability of the proposed model.
Dr. Sinan Apak is currently working as an Asst. Prof. at Industrial Engineering department in Maltepe University, Istanbul, Turkey. He studied BSc: Mechanical Engineering at Balıkesir University, MSc: Systems Engineering at Yeditepe University, PhD: Engineering Management at Marmara University. His research interests are MCDM and fuzzy logic.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Supply Chain Execution and Management (SCEM) system is an enterprise application that integrates all necessary supply chain functions into a single system. In order to execute and manage supply chain processes successfully in an organization, it is necessary to evaluate a suitable system. For this reason, this paper focuses on the evaluation model of the proper and comprehensive remedy for the SCEM system. However, SCEM system evaluation is a kind of multiple attribute decision-making problem associated with uncertainty and complexity, which requires considering a large number of complex factors as multiple evaluation criteria. To cope with this ambiguity and vagueness, a fuzzy logic approach is adopted and to achieve evaluation process a Fuzzy Analytic Hierarchy Process and Fuzzy Technique for Order Preference by Similarity to Ideal Solution integrated model demonstrated. A real life example is given to demonstrate the capability of the proposed model. 168 pp. Englisch. N° de réf. du vendeur 9783659249945
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Apak SinanDr. Sinan Apak is currently working as an Asst. Prof. at Industrial Engineering department in Maltepe University, Istanbul, Turkey. He studied BSc: Mechanical Engineering at Balikesir University, MSc: Systems Engineering at. N° de réf. du vendeur 5143029
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Supply Chain Execution and Management (SCEM) system is an enterprise application that integrates all necessary supply chain functions into a single system. In order to execute and manage supply chain processes successfully in an organization, it is necessary to evaluate a suitable system. For this reason, this paper focuses on the evaluation model of the proper and comprehensive remedy for the SCEM system. However, SCEM system evaluation is a kind of multiple attribute decision-making problem associated with uncertainty and complexity, which requires considering a large number of complex factors as multiple evaluation criteria. To cope with this ambiguity and vagueness, a fuzzy logic approach is adopted and to achieve evaluation process a Fuzzy Analytic Hierarchy Process and Fuzzy Technique for Order Preference by Similarity to Ideal Solution integrated model demonstrated. A real life example is given to demonstrate the capability of the proposed model.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 168 pp. Englisch. N° de réf. du vendeur 9783659249945
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Supply Chain Execution and Management (SCEM) system is an enterprise application that integrates all necessary supply chain functions into a single system. In order to execute and manage supply chain processes successfully in an organization, it is necessary to evaluate a suitable system. For this reason, this paper focuses on the evaluation model of the proper and comprehensive remedy for the SCEM system. However, SCEM system evaluation is a kind of multiple attribute decision-making problem associated with uncertainty and complexity, which requires considering a large number of complex factors as multiple evaluation criteria. To cope with this ambiguity and vagueness, a fuzzy logic approach is adopted and to achieve evaluation process a Fuzzy Analytic Hierarchy Process and Fuzzy Technique for Order Preference by Similarity to Ideal Solution integrated model demonstrated. A real life example is given to demonstrate the capability of the proposed model. N° de réf. du vendeur 9783659249945
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. 168 pages. 8.66x5.91x0.38 inches. In Stock. N° de réf. du vendeur __3659249947
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