Computational Experience with Variants of the Balas Algorithm Applied to the Selection of R&D Projects
Clifford C. Petersen
Additional contact information
Clifford C. Petersen: Motorola, Inc., Scottsdale, Arizona
Management Science, 1967, vol. 13, issue 9, 736-750
Abstract:
Allocating funds to independent R&D projects is a problem of practical importance for many firms. We formulate the problem as a 0-1 integer programming problem with the objective of selecting projects that will maximize the anticipated dollar contract volume, yet not exceed cost budgets. Our form-mulation accommodates R&D projects extending over several budget periods and permits carryover of unspent funds from one budget period to later periods. Experience in solving such problems by using the Balas [Balas, Egon. 1965. An additive algorithm for solving linear programs with zero-one variables. Oper. Res. 13 (4, July-August) 517-549.] algorithm in its literal form and in reformulated form is summarized. Several other modifications to the algorithm are described and; their effect on efficiency is shown through presentation of computational experience on problems with as many as 50 variables.
Date: 1967
References: Add references at CitEc
Citations: View citations in EconPapers (11)
Downloads: (external link)
http://dx.doi.org/10.1287/mnsc.13.9.736 (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:13:y:1967:i:9:p:736-750
Access Statistics for this article
More articles in Management Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().