EconPapers    
Economics at your fingertips  
 

Note---Optimal Work-Rest Scheduling with Exponential Work-Rate Decay

Stephen E. Bechtold and DeWitt L. Sumners
Additional contact information
Stephen E. Bechtold: College of Business, Florida State University, Tallahassee, Florida 32306-1042
DeWitt L. Sumners: Department of Mathematics, Florida State University, Tallahassee, Florida 32306

Management Science, 1988, vol. 34, issue 4, 547-552

Abstract: This note develops optimal multiple rest break models for the case when the decay in work rate is an exponential function of time worked and recovery of work rate potential during rest is a linear function of time rested. While empirical evidence indicates that work rate decay functions tend to be best approximated by either exponential or linear functions, previous multiple rest break models were based upon a linear work rate decay function. Efficient solution procedures are developed which require only the solution of a transcendental equation using Newton's or an equivalent method. Although linear-linear and exponential-linear models are demonstrated to share some important general characteristics, a preliminary analysis indicated that use of linear-linear policies resulted in substantial sacrifices in productive output when relatively high rates of exponential decay were present. The observed losses were exacerbated by higher rates of recovery.

Keywords: production/scheduling: work studies; productivity; programming: integer; applications (search for similar items in EconPapers)
Date: 1988
References: Add references at CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://dx.doi.org/10.1287/mnsc.34.4.547 (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:34:y:1988:i:4:p:547-552

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 2025-03-19
Handle: RePEc:inm:ormnsc:v:34:y:1988:i:4:p:547-552