Titlebook: Markovian Demand Inventory Models; Dirk Beyer,Feng Cheng,Michael Taksar Book 2010 Springer-Verlag US 2010 (s,S) policy.Analysis.Inventory

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accrete

Conclusions and Open Research Problemsved. Specifically, we show that the (., .)-type policies shown to be optimal for a large class of inventory models with independent demands continue to be optimal for Markovian demand models, with one difference. That is, with Markovian demands, the (., .) values depend on the state of the Markov process.

BORE

Senescent

Discounted Cost Models with Lost Saless situations, it is quite often that demand that cannot be satisfied on time is lost. This is particularly true in a competitive business environment. For example, in many retail establishments such as a supermarket or a department store, a customer chooses a competitive brand and goes to another store if his/her preferred brand is out of stock.

fibula

chassis

RAFF

線(xiàn)

Discount Cost Models with Polynomially Growing Surplus Costdback policies is established with Markovian demand: unbounded, ordering costs that are l.s.c., and surplus costs that are l.s.c. with polynomial growth. Furthermore, optimality of (., .)-type policies is proved when the ordering cost consists of fixed and proportional cost components and the surplus cost is convex.

尖牙

upstart

Average Cost Models with Backordersrun average cost of inventory/backlog and ordering. The purpose is to establish the dynamic programming equation or average cost optimality equation for the problem, prove the existence of an optimal feedback (or Markov) policy, and show that a feedback policy of (., .)-type is optimal.