Control policies for two-stage, pull-type production/inventory systems with constrained average cost criterion

Control policies for two-stage, pull-type production/inventory systems with constrained average cost criterion

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Article ID: iaor1995491
Country: United Kingdom
Volume: 32
Issue: 9
Start Page Number: 2005
End Page Number: 2014
Publication Date: Sep 1994
Journal: International Journal of Production Research
Authors: , ,
Keywords: markov processes
Abstract:

The authors consider a two-stage, pull-type production/inventory system with a known service mechanism at the first stage. Set-ups and start-ups are involved in the operation of the second stage. The authors develop a production control policy for the second stage, within the class of (R,r) continuous-review policies, that minimizes the long run average number of set-ups and start-ups subject to a constraint on the number of customers that are lost. They use a semi-Markov decision model to obtain an optimal policy for the operation of the second stage. The optimal policy is in the form of a randomized stationary policy. The structure of the optimal policy suggests the use of a suboptimal look-back policy that delays the set-up at the second stage if the buffer lacks sufficient raw material.

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