A project scheduling and staff assignment model considering learning effect

Muh-Cherng Wu*, Shih Hsiung Sun

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

68 Scopus citations

Abstract

In a multi-project environment, we sometimes need to periodically schedule the tasks for each project and assign staff to the tasks. Such a decision-making problem has been studied in literature; however, learning effect of staff has not been considered in previous studies. This research formulates a mixed nonlinear program for project scheduling and staff allocation problems, which considers learning effect of staff. The objective function is to minimize outsourcing costs. A genetic algorithm (GA) is proposed to solve the problem. Experiments for solving various sizes of test problems has been carried out to validate the proposed GA.

Original languageEnglish
Pages (from-to)1190-1195
Number of pages6
JournalInternational Journal of Advanced Manufacturing Technology
Volume28
Issue number11-12
DOIs
StatePublished - 1 May 2006

Keywords

  • Genetic algorithm
  • Learning effect
  • Project scheduling
  • Staff allocation

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