DocumentCode
2405918
Title
Optimal policies for two-stage, pull-type production/inventory systems
Author
Gursoy, M.B. ; Danhong, H. ; Altiok, T.
Author_Institution
Dept. of Ind. Eng., Rutgers Univ., Piscataway, NJ, USA
fYear
1992
fDate
1992
Firstpage
1682
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. It is assumed that the first stage has always raw material to process. Between the two stages, there is an intermediate storage of work-in-process inventory that operates with the base-stock policy. Under this policy, the first stage produces as long as the intermediate buffer is not full. The second stage produces to store in the finished-product warehouse and operates with the continuous-review (R ,r ) policy. This policy implies that if the inventory is below or equal to the reorder level r , then a request for production is placed at stage 2. The production continues until the warehouse inventory reaches the capacity limit R . A semi-Markov decision model is used to obtain an optimal policy for the operation of the second stage. The structure of the optimal policy suggests use of a suboptimal look-back policy that delays the set-up at the second stage if the buffer lacks sufficient material
Keywords
Markov processes; production control; stock control; base-stock policy; capacity limit; continuous-review (R,r) policy; finished-product warehouse; intermediate buffer; known service mechanism; pull-type production/inventory systems; raw material; semi-Markov decision model; work-in-process inventory; Continuous production; Control systems; Cost function; Delay; Industrial engineering; Production control; Production systems; Raw materials;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
Conference_Location
Tucson, AZ
Print_ISBN
0-7803-0872-7
Type
conf
DOI
10.1109/CDC.1992.371142
Filename
371142
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