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Autor(en): 
  • Suresh P. Sethi
  • Dirk Beyer
  • Feng Cheng
  • Michael Taksar
  • Markovian Demand Inventory Models 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Oktober 2009  
    Genre:  Wirtschaft / Recht 
     
    Business and Management / Business Mathematics / C / Decision Making / Engineering economics / Engineering Economics, Organization, Logistics, Marketing / Engineering economy / Engineering# general
    ISBN:  9780387716039 
    EAN-Code: 
    9780387716039 
    Verlag:  Springer EN 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  #108 - International Series in Operations Research & Management Science  
    Dimensionen:  H 235 mm / B 155 mm / D 28 mm 
    Gewicht:  1250 gr 
    Seiten:  255 
    Illustration:  XX, 255 p. 15 illus., schwarz-weiss Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Inventory management is concerned with matching supply with demand and a central problem in Operations Management. The problem is to find the amount to be produced or purchased in order to maximize the total expected profit or minimize the total expected cost. Over the past two decades, several variations of the formula appeared, mostly in trade journals written by and for inventory managers. A critical assumption in the inventory literature is that the demands in different periods are independent and identically distributed. However, in real life, demands may depend on environmental considerations or the events in the world such as the weather, the state of economy, etc. Moreover, these events are represented by stochastic processes - exogenous or controlled.

    In Markovian Demand Inventory Models, the authors are concerned with inventory models where these world events are modeled by Markov processes. Their research on Markovian demand inventory models was carried out over a period of ten years beginning in the early nineties.

      



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