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Buchbeschreibung Zustand: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. Bestandsnummer des Verkäufers ria9783845402642_lsuk
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Buchbeschreibung Zustand: New. Bestandsnummer des Verkäufers ABLING22Oct2018170264413
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Buchbeschreibung Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -As the bar for service excellence keeps rising, especially in the request of shorter lead times, higher service levels, lower costs and better customer service support, the conventional models of spare parts inventory management are increasingly becoming inadequate. This book, therefore, develops three novel models of spare parts inventory management. Model 1 used mathematical analysis to integrate 7 spare parts inventory policies together. Model 2 integrated the same inventory policies of Model 1 using stochastic simulation while Model 3 expanded Model 2 by considering bulk demand and supply using stochastic simulation. 19 sensitivity parameters were varied in the study, where at each instance of variation, the behaviour of the fill rate, as well as backorders (i.e. with regard to its average number, mean response time and maximum queue length) were analysed. On the average a saving of 18.51% demands in comparison with the conventional models was found, which indeed will result in huge cost savings in absolute terms. This book will therefore serve as equipment that enriches the tool box of professionals and pedagogical tool for students on spare parts inventory management. 252 pp. Englisch. Bestandsnummer des Verkäufers 9783845402642
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Buchbeschreibung Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As the bar for service excellence keeps rising, especially in the request of shorter lead times, higher service levels, lower costs and better customer service support, the conventional models of spare parts inventory management are increasingly becoming inadequate. This book, therefore, develops three novel models of spare parts inventory management. Model 1 used mathematical analysis to integrate 7 spare parts inventory policies together. Model 2 integrated the same inventory policies of Model 1 using stochastic simulation while Model 3 expanded Model 2 by considering bulk demand and supply using stochastic simulation. 19 sensitivity parameters were varied in the study, where at each instance of variation, the behaviour of the fill rate, as well as backorders (i.e. with regard to its average number, mean response time and maximum queue length) were analysed. On the average a saving of 18.51% demands in comparison with the conventional models was found, which indeed will result in huge cost savings in absolute terms. This book will therefore serve as equipment that enriches the tool box of professionals and pedagogical tool for students on spare parts inventory management. Bestandsnummer des Verkäufers 9783845402642
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Buchbeschreibung Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Okonkwo UgochukwuUgochukwu Okonkwo obtained PhD from the Department of Mechanical Engineering, Nnamdi Azikiwe University, Awka, Nigeria. He is currently a Lecturer in the same Department and University. His research interests includ. Bestandsnummer des Verkäufers 5480423
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Buchbeschreibung PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bestandsnummer des Verkäufers L0-9783845402642
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Buchbeschreibung PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bestandsnummer des Verkäufers L0-9783845402642
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