Optimal Scheduling of a Flexible-Duration Rest Period for a Work Group
Stephen E. Bechtold and
Gary M. Thompson
Additional contact information
Stephen E. Bechtold: Florida State University, Tallahassee, Florida
Gary M. Thompson: University of Utah, Salt Lake City, Utah
Operations Research, 1993, vol. 41, issue 6, 1046-1054
Abstract:
All previous modeling research involving optimization of performance associated with work-rest cycles has focused upon individual employees working independently. We extend this earlier research by considering the choices of placement for and duration of a single rest period that must be taken simultaneously by all employees in a work group. Assuming linear work-rate decay and recovery functions for individual employees within the group, we show that an appropriate model can be formulated as a mixed-binary, cubic programming problem. We develop an efficient optimal solution procedure with a computational time that appears to be a linear function of the number of employees considered. We report on a preliminary simulation experiment that evaluates the productivity loss that occurs when the rest break policy is determined based on the work characteristics of a randomly selected subset of employees in the work group, and provides an initial exploration of the nature of optimal policy variables. Finally, we offer suggestions for future research.
Keywords: labor: finding the optimal timing and length of a common rest break; programming; nonlinear algorithms an efficient algorithm for a mixed-binary cubic problem; simulation; applications: measuring employee work-group performance (search for similar items in EconPapers)
Date: 1993
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://dx.doi.org/10.1287/opre.41.6.1046 (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:oropre:v:41:y:1993:i:6:p:1046-1054
Access Statistics for this article
More articles in Operations Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().