A Generalized Lagrange Multiplier Algorithm for Optimum or Near Optimum Production Scheduling
J. P. Evans and
F. J. Gould
Additional contact information
J. P. Evans: University of North Carolina
F. J. Gould: University of North Carolina
Management Science, 1972, vol. 18, issue 5-Part-1, 299-311
Abstract:
In this paper we apply the concept of generalized Lagrange multipliers, introduced by Everett [Everett, H. 1963. Generalized lagrange multiplier method for solving problems of optimum allocation of resources. Oper. Res. XI 399-417.], to the development of an algorithm for a one-period multi-product production model, where the objective is to maximize profit subject to constraints on aggregate regular time and overtime production. We assume no difference between the cost of idle time and regular time labor, so that the regular time cost is fixed. Overtime cost is variable. The price for each product is constant (independent of quantity sold), and everything produced can be sold. The optimum production schedule (maximum profit) will depend upon revenues, overtime costs, setup times, and productivities.
Date: 1972
References: Add references at CitEc
Citations:
Downloads: (external link)
http://dx.doi.org/10.1287/mnsc.18.5.299 (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:18:y:1972:i:5-part-1:p:299-311
Access Statistics for this article
More articles in Management Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().