Resource constrained assignment problems

Ronny Aboudi, Kurt Jørnsten

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

In many applications it is necessary to find a minimum weight assignment that satisfies one or several additional resource constraints. For example, consider the problem of assigning persons to jobs where each assignment utilizes at least two scarce resources and the resource utilization is dependent on the person and the type of task. A practical situation where the above might occur is a slaughter house where the "cutters" are assigned to different cut patterns. In this case the resources are the time, the cost and the productivity measured in terms of quality and amount of the end products. In this paper we study the resource constrained assignment problem and derive several classes of valid inequalities based on the properties of the knapsack and assignment polytopes. We also present an algorithm that uses both the linear programming and the Lagrangean relaxation of the original problem in order to solve the separation problem. Some computational experiments are presented.

Original languageEnglish (US)
Pages (from-to)175-191
Number of pages17
JournalDiscrete Applied Mathematics
Volume26
Issue number2-3
DOIs
StatePublished - Jan 1 1990

Fingerprint

Assignment Problem
Linear programming
Productivity
Resources
Assignment
Costs
Person
Experiments
Lagrangean Relaxation
Valid Inequalities
Knapsack
Resource Constraints
Polytopes
Computational Experiments
Necessary
Dependent

ASJC Scopus subject areas

  • Discrete Mathematics and Combinatorics
  • Applied Mathematics

Cite this

Resource constrained assignment problems. / Aboudi, Ronny; Jørnsten, Kurt.

In: Discrete Applied Mathematics, Vol. 26, No. 2-3, 01.01.1990, p. 175-191.

Research output: Contribution to journalArticle

Aboudi, Ronny ; Jørnsten, Kurt. / Resource constrained assignment problems. In: Discrete Applied Mathematics. 1990 ; Vol. 26, No. 2-3. pp. 175-191.
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