Modeling learning effects via successive linear programming

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

A learning effect occurs when the amount of labor required per unit of production decreases as cumulative production increases. Learning effects occur in many situations, and this effect can be especially significant in the startup of a new process. However, from a modeling viewpoint, the inclusion of learning effects can result in a problem that is considerably more difficult to solve than when these effects are ignored. A number of mathematical programming solution methods have been proposed for modeling a learning effect. Unfortunetely, these methods frequently require the implementation of sophisticated algorithms. In this paper we develop an alternate solution strategy for modeling a learning effect based upon the use of Successive Linear Programming (SLP). This approach is particularly attractive in that it can be easily implemented, and only requires access to a linear programming package.

Original languageEnglish (US)
Pages (from-to)78-84
Number of pages7
JournalEuropean Journal of Operational Research
Volume40
Issue number1
DOIs
StatePublished - May 5 1989

Fingerprint

Learning Effect
Linear programming
Mathematical programming
Modeling
Personnel
Start-up
Mathematical Programming
Alternate
Inclusion
Learning effect
Decrease
Unit

All Science Journal Classification (ASJC) codes

  • Modeling and Simulation
  • Management Science and Operations Research
  • Information Systems and Management

Cite this

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Modeling learning effects via successive linear programming. / Harrison, Terry Paul; Ketz, John Edward.

In: European Journal of Operational Research, Vol. 40, No. 1, 05.05.1989, p. 78-84.

Research output: Contribution to journalArticle

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