The choice of staffing levels is a decision faced by virtually every organization. When making this decision for a complex system, what methodology can be employed? And can theory guide the decisions? This book describes the staffing level analysis for a company?s product inspection process?a complex tandem queue with machines or operators working in parallel at each station, dynamic interaction between the inspection rates at two of the stations, and stochastic arrivals of the items to be inspected. The minimum staffing levels for various product volumes need to be determined to ensure a reliable inspection system with nearly-zero probability of system congestion. Both simulation modeling and queuing theory approximation are applied to the analysis. The critical topology of the queuing system, the nature of the problem, and the methodology for their solution are portable to other environments. The methodology in this study should be useful to practitioners who are considering improving the operations of their service or production systems through capacity planning, and also be of interest to researchers in the field of service operations.
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Liping Liang, PhD: Studied Management Science at the University of British Columbia. Project Advisor, the University of British Columbia, Vancouver. Assistant Professor, Lingnan University, Hong Kong.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The choice of staffing levels is a decision faced by virtually every organization. When making this decision for a complex system, what methodology can be employed And can theory guide the decisions This book describes the staffing level analysis for a company s product inspection process a complex tandem queue with machines or operators working in parallel at each station, dynamic interaction between the inspection rates at two of the stations, and stochastic arrivals of the items to be inspected. The minimum staffing levels for various product volumes need to be determined to ensure a reliable inspection system with nearly-zero probability of system congestion. Both simulation modeling and queuing theory approximation are applied to the analysis. The critical topology of the queuing system, the nature of the problem, and the methodology for their solution are portable to other environments. The methodology in this study should be useful to practitioners who are considering improving the operations of their service or production systems through capacity planning, and also be of interest to researchers in the field of service operations. 52 pp. Englisch. Bestandsnummer des Verkäufers 9783838349688
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The choice of staffing levels is a decision faced by virtually every organization. When making this decision for a complex system, what methodology can be employed And can theory guide the decisions This book describes the staffing level analysis for a company s product inspection process a complex tandem queue with machines or operators working in parallel at each station, dynamic interaction between the inspection rates at two of the stations, and stochastic arrivals of the items to be inspected. The minimum staffing levels for various product volumes need to be determined to ensure a reliable inspection system with nearly-zero probability of system congestion. Both simulation modeling and queuing theory approximation are applied to the analysis. The critical topology of the queuing system, the nature of the problem, and the methodology for their solution are portable to other environments. The methodology in this study should be useful to practitioners who are considering improving the operations of their service or production systems through capacity planning, and also be of interest to researchers in the field of service operations. Bestandsnummer des Verkäufers 9783838349688
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Liang LipingLiping Liang, PhD: Studied Management Science at the University of British Columbia. Project Advisor, the University of British Columbia, Vancouver. Assistant Professor, Lingnan University, Hong Kong.The choice of sta. Bestandsnummer des Verkäufers 5415391
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The choice of staffing levels is a decision faced by virtually every organization. When making this decision for a complex system, what methodology can be employed And can theory guide the decisions This book describes the staffing level analysis for a company''s product inspection process-a complex tandem queue with machines or operators working in parallel at each station, dynamic interaction between the inspection rates at two of the stations, and stochastic arrivals of the items to be inspected. The minimum staffing levels for various product volumes need to be determined to ensure a reliable inspection system with nearly-zero probability of system congestion. Both simulation modeling and queuing theory approximation are applied to the analysis. The critical topology of the queuing system, the nature of the problem, and the methodology for their solution are portable to other environments. The methodology in this study should be useful to practitioners who are considering improving the operations of their service or production systems through capacity planning, and also be of interest to researchers in the field of service operations.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. Bestandsnummer des Verkäufers 9783838349688
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Taschenbuch. Zustand: Neu. Staffing Level Analysis for a Product Inspection Process | Applying Simulation Techniques and Queuing Theory to a Real World Problem | Liping Liang | Taschenbuch | 52 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838349688 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 101282008
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