Processing networks with planned inventories: Tandem queues with feedback
Publication
, Journal Article
Zipkin, P
Published in: European Journal of Operational Research
1995
This note continues the investigation, initiated by Lee and Zipkin, of tandem queues with planned inventories. Such models are designed to represent make-to-stock production processes, where intermediate and finished goods can be produced and stored in advance of demand. Otherwise, the setup is much like that of the classic Jackson network model. We suppose each production stage occasionally produces a defective unit, which must then repeat processing, return to an earlier stage, or be discarded. We propose and test a tractable approximation scheme. The approximation appears to be reasonably accurate. This implies that poor quality degrades performances mainly by wasting production capacity. © 1995.
Duke Scholars
Published In
European Journal of Operational Research
ISSN
0377-2217
Publication Date
1995
Volume
80
Issue
2
Start / End Page
344 / 349
Related Subject Headings
- Operations Research
Citation
APA
Chicago
ICMJE
MLA
NLM
Zipkin, P. (1995). Processing networks with planned inventories: Tandem queues with feedback. European Journal of Operational Research, 80(2), 344–349.
Zipkin, P. “Processing networks with planned inventories: Tandem queues with feedback.” European Journal of Operational Research 80, no. 2 (1995): 344–49.
Zipkin P. Processing networks with planned inventories: Tandem queues with feedback. European Journal of Operational Research. 1995;80(2):344–9.
Zipkin, P. “Processing networks with planned inventories: Tandem queues with feedback.” European Journal of Operational Research, vol. 80, no. 2, 1995, pp. 344–49.
Zipkin P. Processing networks with planned inventories: Tandem queues with feedback. European Journal of Operational Research. 1995;80(2):344–349.
Published In
European Journal of Operational Research
ISSN
0377-2217
Publication Date
1995
Volume
80
Issue
2
Start / End Page
344 / 349
Related Subject Headings
- Operations Research