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Markovian Demand Inventory Models
Hoofdkenmerken
Auteur: Dirk Beyer; Feng Cheng; Suresh P. Sethi; Michael Taksar
Titel: Markovian Demand Inventory Models
Uitgever: Springer Nature
ISBN: 9780387716046
ISBN boekversie: 9780387716039
Prijs: € 131.88
Verschijningsdatum: 03-10-2009
Inhoudelijke kenmerken
Categorie: Business Mathematics
Taal: English
Imprint: Springer
Technische kenmerken
Verschijningsvorm: E-book
 

Inhoudsopgave:

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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