Supply chains are complex systems, which include several independent organizations with different objectives, in dynamic uncertain environment. A key issue in supply chain management (SCM) is the coordination of supply chain operations planning decisions. In this book, we first review supply chain operations planning coordination methods from centralized to decentralized approaches proposed in the literature. Second, we propose a decentralized operations planning coordination mechanism referred to as mutual adjustment search (MAS), which is based on a negotiation-like mutual adjustment of planning decisions with financial incentives and rooted in mathematical programming. Finally, in order to develop an approach capable of supporting the dynamic coordination of operations planning in a rolling horizon context, this book first proposes a negotiation strategy for the supplier, as well as a revenue sharing protocol. Computational analysis shows that the proposed approach produces a win-win strategy for two partners of supply chain and improves the results of upstream planning.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Supply chains are complex systems, which include several independent organizations with different objectives, in dynamic uncertain environment. A key issue in supply chain management (SCM) is the coordination of supply chain operations planning decisions. In this book, we first review supply chain operations planning coordination methods from centralized to decentralized approaches proposed in the literature. Second, we propose a decentralized operations planning coordination mechanism referred to as mutual adjustment search (MAS), which is based on a negotiation-like mutual adjustment of planning decisions with financial incentives and rooted in mathematical programming. Finally, in order to develop an approach capable of supporting the dynamic coordination of operations planning in a rolling horizon context, this book first proposes a negotiation strategy for the supplier, as well as a revenue sharing protocol. Computational analysis shows that the proposed approach produces a win-win strategy for two partners of supply chain and improves the results of upstream planning.
Atour TAGHIPOUR is currently Assistant Professor at the University of Le Havre, France. He holds a PhD in Industrial Engineering from the École Polytechnique de Montréal. He received two masters degrees one in Management, Logistics & Strategy and other in Industrial Engineering. His areas of research are supply chain and operations management.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Supply chains are complex systems, which include several independent organizations with different objectives, in dynamic uncertain environment. A key issue in supply chain management (SCM) is the coordination of supply chain operations planning decisions. In this book, we first review supply chain operations planning coordination methods from centralized to decentralized approaches proposed in the literature. Second, we propose a decentralized operations planning coordination mechanism referred to as mutual adjustment search (MAS), which is based on a negotiation-like mutual adjustment of planning decisions with financial incentives and rooted in mathematical programming. Finally, in order to develop an approach capable of supporting the dynamic coordination of operations planning in a rolling horizon context, this book first proposes a negotiation strategy for the supplier, as well as a revenue sharing protocol. Computational analysis shows that the proposed approach produces a win-win strategy for two partners of supply chain and improves the results of upstream planning. 184 pp. Englisch. N° de réf. du vendeur 9783659225826
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Taschenbuch. Etat : Neu. Supply Chain Management: Coordination of Operations Planning | Decentralized approaches | Atour Taghipour | Taschenbuch | 184 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659225826 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 106297820
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Supply chains are complex systems, which include several independent organizations with different objectives, in dynamic uncertain environment. A key issue in supply chain management (SCM) is the coordination of supply chain operations planning decisions. In this book, we first review supply chain operations planning coordination methods from centralized to decentralized approaches proposed in the literature. Second, we propose a decentralized operations planning coordination mechanism referred to as mutual adjustment search (MAS), which is based on a negotiation-like mutual adjustment of planning decisions with financial incentives and rooted in mathematical programming. Finally, in order to develop an approach capable of supporting the dynamic coordination of operations planning in a rolling horizon context, this book first proposes a negotiation strategy for the supplier, as well as a revenue sharing protocol. Computational analysis shows that the proposed approach produces a win-win strategy for two partners of supply chain and improves the results of upstream planning.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 184 pp. Englisch. N° de réf. du vendeur 9783659225826
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Etat : Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Supply chains are complex systems, which include several independent organizations with different objectives, in dynamic uncertain environment. A key issue in supply chain management (SCM) is the coordination of supply chain operations planning decisions. In this book, we first review supply chain operations planning coordination methods from centralized to decentralized approaches proposed in the literature. Second, we propose a decentralized operations planning coordination mechanism referred to as mutual adjustment search (MAS), which is based on a negotiation-like mutual adjustment of planning decisions with financial incentives and rooted in mathematical programming. Finally, in order to develop an approach capable of supporting the dynamic coordination of operations planning in a rolling horizon context, this book first proposes a negotiation strategy for the supplier, as well as a revenue sharing protocol. Computational analysis shows that the proposed approach produces a win-win strategy for two partners of supply chain and improves the results of upstream planning. N° de réf. du vendeur 22863051/1
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