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Inhaltsangabe: 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.

Über den Autor: Ugochukwu 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 include stochastic modelling and spare parts inventory. He is COREN registered, Member NSE, IAENG, etc

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Buchbeschreibung LAP Lambert Academic Publishing, 2016. Paperback. Buchzustand: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Buchnummer des Verkäufers ria9783845402642_lsuk

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Buchbeschreibung LAP Lambert Academic Publishing, Germany, 2011. Paperback. Buchzustand: New. 220 x 150 mm. Language: English . Brand New Book ***** Print on Demand *****.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. Buchnummer des Verkäufers AAV9783845402642

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Buchbeschreibung LAP LAMBERT Academic Publishing, 2011. Paperback. Buchzustand: New. book. Buchnummer des Verkäufers 3845402644

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Buchbeschreibung LAP LAMBERT Academic Publishing. Paperback. Buchzustand: New. Paperback. 252 pages. Dimensions: 8.7in. x 5.9in. x 0.6in.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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Buchnummer des Verkäufers 9783845402642

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