Probabilistic Supply Chain Monitoring: for Reactive Production Planning in the German Automotive Industry - Couverture souple
Synopsis
Ongoing trends in the automotive industry toward global supply chains, lean logistics and build-to-order have led to new supply risks. Short order-to-delivery times and low safety stock levels have increased the vulnerability of Original Equipment Manufacturers (OEM) to small delivery delays of components. At the same time, increasing complexity of supply chains with rising numbers of suppliers and long transportation routes raises the frequency of such delays. These developments have created a demand for integrated supply chain monitoring methods. This book introduces a probabilistic concept to monitor supply chain event data. By analyzing historic data regarding the time each component passes specific points within the supply chain, a Bayes network is derived, describing the stochastic behavior of the lead times in each section. This network is applied to a real-time calculation of the availability probability of all necessary components for the assembly at the OEM at any given point in time. This information assists both in monitoring the supply chain for potential disruptions and in rescheduling the assembly process in reaction to predicted delays.
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Probabilistic Supply Chain Monitoring
Edité par
AV Akademikerverlag Apr 2014, 2014
ISBN 10 : 3639494466
ISBN 13 : 9783639494464
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Ongoing trends in the automotive industry toward global supply chains, lean logistics and build-to-order have led to new supply risks. Short order-to-delivery times and low safety stock levels have increased the vulnerability of Original Equipment Manufacturers (OEM) to small delivery delays of components. At the same time, increasing complexity of supply chains with rising numbers of suppliers and long transportation routes raises the frequency of such delays. These developments have created a demand for integrated supply chain monitoring methods. This book introduces a probabilistic concept to monitor supply chain event data. By analyzing historic data regarding the time each component passes specific points within the supply chain, a Bayes network is derived, describing the stochastic behavior of the lead times in each section. This network is applied to a real-time calculation of the availability probability of all necessary components for the assembly at the OEM at any given point in time. This information assists both in monitoring the supply chain for potential disruptions and in rescheduling the assembly process in reaction to predicted delays. 148 pp. Englisch. N° de réf. du vendeur 9783639494464
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Probabilistic Supply Chain Monitoring
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VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
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ISBN 13 : 9783639494464
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Probabilistic Supply Chain Monitoring
Edité par
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
ISBN 10 : 3639494466
ISBN 13 : 9783639494464
Neuf
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Etat : New. Print on Demand pp. 148 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. N° de réf. du vendeur 131475076
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Probabilistic Supply Chain Monitoring
Edité par
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
ISBN 10 : 3639494466
ISBN 13 : 9783639494464
Neuf
Couverture souple
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Etat : New. PRINT ON DEMAND pp. 148. N° de réf. du vendeur 18128031057
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Probabilistic Supply Chain Monitoring
Edité par
AV Akademikerverlag, 2014
ISBN 10 : 3639494466
ISBN 13 : 9783639494464
Neuf
Couverture souple
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Warhanek MaximilianMaximilian Warhanek has completed his studies of mechanical engineering specialising on production technology and logistics. He is continuing his research as assistant at the Institute of Machine Tools and Manufact. N° de réf. du vendeur 4992298
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Probabilistic Supply Chain Monitoring
Edité par
AV Akademikerverlag Apr 2014, 2014
ISBN 10 : 3639494466
ISBN 13 : 9783639494464
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Ongoing trends in the automotive industry toward global supply chains, lean logistics and build-to-order have led to new supply risks. Short order-to-delivery times and low safety stock levels have increased the vulnerability of Original Equipment Manufacturers (OEM) to small delivery delays of components. At the same time, increasing complexity of supply chains with rising numbers of suppliers and long transportation routes raises the frequency of such delays. These developments have created a demand for integrated supply chain monitoring methods. This book introduces a probabilistic concept to monitor supply chain event data. By analyzing historic data regarding the time each component passes specific points within the supply chain, a Bayes network is derived, describing the stochastic behavior of the lead times in each section. This network is applied to a real-time calculation of the availability probability of all necessary components for the assembly at the OEM at any given point in time. This information assists both in monitoring the supply chain for potential disruptions and in rescheduling the assembly process in reaction to predicted delays.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 148 pp. Englisch. N° de réf. du vendeur 9783639494464
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Probabilistic Supply Chain Monitoring : for Reactive Production Planning in the German Automotive Industry
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Ongoing trends in the automotive industry toward global supply chains, lean logistics and build-to-order have led to new supply risks. Short order-to-delivery times and low safety stock levels have increased the vulnerability of Original Equipment Manufacturers (OEM) to small delivery delays of components. At the same time, increasing complexity of supply chains with rising numbers of suppliers and long transportation routes raises the frequency of such delays. These developments have created a demand for integrated supply chain monitoring methods. This book introduces a probabilistic concept to monitor supply chain event data. By analyzing historic data regarding the time each component passes specific points within the supply chain, a Bayes network is derived, describing the stochastic behavior of the lead times in each section. This network is applied to a real-time calculation of the availability probability of all necessary components for the assembly at the OEM at any given point in time. This information assists both in monitoring the supply chain for potential disruptions and in rescheduling the assembly process in reaction to predicted delays. N° de réf. du vendeur 9783639494464
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Probabilistic Supply Chain Monitoring | for Reactive Production Planning in the German Automotive Industry
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Taschenbuch. Etat : Neu. Probabilistic Supply Chain Monitoring | for Reactive Production Planning in the German Automotive Industry | Maximilian Warhanek | Taschenbuch | 148 S. | Englisch | 2014 | AV Akademikerverlag | EAN 9783639494464 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 105318417
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