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Herausgeber: 
  • Nezih Altay
  • Lewis A. Litteral
  • Service Parts Management: Demand Forecasting and Inventory Control 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Genre:  Naturwissensch., Medizin, Technik 
     
    B / Decision Making / engineering / Engineering economics / Engineering Economics, Organization, Logistics, Marketing / Engineering economy / Forecasting;Intermittent Demand;Inventory;Spare Parts / Industrial Management / Machines, Tools, Processes / Management decision making / Management of specific areas / Manufactures / Manufacturing, Machines, Tools, Processes / Operational research / Operations Research / Operations Research and Decision Theory / Operations Research/Decision Theory / Production engineering
    ISBN:  9781447158332 
    EAN-Code: 
    9781447158332 
    Verlag:  Springer Nature EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  504 gr 
    Seiten:  311 
    Illustration:  XIV, 311 p., Tabellen, schwarz-weiss 
    Zus. Info:  Previously published in hardcover 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    With the pressure of time-based competition increasing, and customers demanding faster service, availability of service parts becomes a critical component of manufacturing and servicing operations. Service Parts Management first focuses on intermittent demand forecasting and then on the management of service parts inventories. It guides researchers and practitioners in finding better management solutions to their problems and is both an excellent reference for key concepts and a leading resource for further research.   Demand forecasting techniques are presented for parametric and nonparametric approaches, and multi echelon cases and inventory pooling are also considered. Inventory control is examined in the continuous and periodic review cases, while the following are all examined in the context of forecasting: • error measures, • distributional assumptions, and • decision trees.   Service Parts Management provides the reader with an overview and a detailed treatment of the current state of the research available on the forecasting and inventory management of items with intermittent demand.  It is a comprehensive review of service parts management and provides a starting point for researchers, postgraduate students, and anyone interested in forecasting or managing inventory.
      
     Empfehlungen... 
     Service Parts Management: Demand Forecasting and I - (Buch)
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