EconPapers    
Economics at your fingertips  
 

A New Approach to Determine Parameter Sensitivities of Transfer Lines

Y. C. Ho, M. A. Eyler and T. T. Chien
Additional contact information
Y. C. Ho: Harvard University
M. A. Eyler: Bogazici University, Istanbul, Turkey
T. T. Chien: The Charles Stark Draper Laboratory, Inc., Cambridge, Massachusetts

Management Science, 1983, vol. 29, issue 6, 700-714

Abstract: In this paper, we develop a complete and practical method for efficient compulation of the sensitivity information of a transfer line throughput. Our approach, which is a combination of analysis and experimentation, is fundamentally different from the existing solution methods. Using this approach the gradient information of the line throughput with respect to various decision variables is made available by a single observation of the line production history plus computation based on the observed data. These calculations are simple enough to be implemented on microcomputers. After an analytical development, three applications and experimental verifications are presented, namely the optimization of the line throughput with respect to the buffer sizes, the cycle times and the repair times. The study provides useful insights to line performance improvement. For example, buffer sizes are but one set of decision variables, not necessarily the most important. Cycle time and repair time can be more significant parameters on the line performance optimization. In addition, the method provides a useful management support system in identifying the line critical points, where local improvement due to change in a parameter can result in most significant improvement in the overall line throughput performance.

Keywords: production/scheduling: flow shop; inventory/production: parametric estimation; engineering: applications (search for similar items in EconPapers)
Date: 1983
References: Add references at CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://dx.doi.org/10.1287/mnsc.29.6.700 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:29:y:1983:i:6:p:700-714

Access Statistics for this article

More articles in Management Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().

 
Page updated 2025-04-17
Handle: RePEc:inm:ormnsc:v:29:y:1983:i:6:p:700-714