| dc.contributor |
Naval Postgraduate School (U.S.) |
|
| dc.contributor |
Operations Research (OR) |
|
| dc.creator |
Buss, Arnold H. |
|
| dc.creator |
Lawrence, Stephen R. |
|
| dc.creator |
Kropp, Dean H. |
|
| dc.date |
1995 |
|
| dc.date |
2018-12-11T18:50:54Z |
|
| dc.date |
2018-12-11T18:50:54Z |
|
| dc.date |
1995 |
|
| dc.date.accessioned |
2022-05-19T07:48:27Z |
|
| dc.date.available |
2022-05-19T07:48:27Z |
|
| dc.identifier |
Buss, A.H., Lawrence, S.R., and Kropp, D.H., “Volume and Capacity Interaction in Facility Design,” IIE Transactions, Vol. 26, No. 4, 1994, pp. 36-49. |
|
| dc.identifier |
http://hdl.handle.net/10945/60792 |
|
| dc.identifier.uri |
http://localhost:8080/xmlui/handle/CUHPOERS/100218 |
|
| dc.description |
The article of record as published may be found at https://doi.org/10.1080/07408179408966617 |
|
| dc.description |
This paper addresses the joint facilities design problem of determining both demand and capacity with stochastic demand arrivals and stochastic processing throughput. Using a simple M/M/1 queueing model of a profit maximizing firm, we link marketing and production decision variables by recognizing appropriate congestion costs, and show that coordinated decision-making provides results superior to making demand and capacity decisions sequentially. Sensitivity analysis indicates that the model is robust with respect to its assumptions and parameters. An example illustrates the approach and demonstrates the application of the model. |
|
| dc.format |
14 p. |
|
| dc.format |
application/pdf |
|
| dc.publisher |
Taylor & Francis |
|
| dc.rights |
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. |
|
| dc.title |
Volume and Capacity Interaction in Facility Design |
|
| dc.type |
Article |
|