The Disaggregation of Aggregate Manpower Plans

Larry P. Ritzman, LeRoy J. Krajewski and Michael J. Showalter
Additional contact information
Larry P. Ritzman: Ohio State University
LeRoy J. Krajewski: Ohio State University
Michael J. Showalter: Ohio State University

Management Science, 1976, vol. 22, issue 11, 1204-1214

Abstract: Aggregate manpower plans can be made operational only if they are translatable into shorter range assignments of personnel to specific work groups, operations, and products or services. This paper describes a combined heuristic programming and simulation algorithm amenable to this process of decomposition. Due to the complexity of the problem and the multiplicity of objectives, optimization techniques are only of academic interest. The algorithm is adapted to a particular environment, namely the construction of tour assignments in a post office. A "tour assignment" specifies simultaneously the exact timing (days and hours) of the work week (shift or tour) as well as the particular job assignment for each employee in the workforce. After describing the problem structure, the algorithm's logic is explained along with the interactive nature of the man-machine approach. Several options can be exercised to combine the power of a computer model with the judgment of the decision maker. The application of this methodology is illustrated with representative data, showing how the search and decision process can be conducted.

Date: 1976
References: Add references at CitEc
Citations: View citations in EconPapers (11)

Downloads: (external link)
http://dx.doi.org/10.1287/mnsc.22.11.1204 (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:22:y:1976:i:11:p:1204-1214

Access Statistics for this article

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