Modelling inherent worker differences for workforce planning

Pornsarun Wirojanagud, Esma Gel, John Fowler, Robert Cardy

Research output: Contribution to journalArticle

48 Citations (Scopus)

Abstract

Most of the literature in the area of workforce planning assumes that workers are identical. This paper considers fundamental decisions in workforce management assuming that workers are inherently different. General Cognitive Ability (GCA) is used as the measure for individual differences. A mixed integer programming model is developed to determine the amount of hiring, firing, and cross-training for each GCA level to minimize total costs, which include training costs, salary costs, firing costs and missed production costs over multiple time periods. Two sets of experiments were developed: (1) to show that the model can be applied to realistic manufacturing systems with large numbers of machine groups, and () to study the parameters that affect workforce decisions. Our results indicate that worker differences should be considered when planning and managing the workforce.

Original languageEnglish (US)
Pages (from-to)525-553
Number of pages29
JournalInternational Journal of Production Research
Volume45
Issue number3
DOIs
StatePublished - Feb 2007

Fingerprint

Planning
Costs
Wages
Integer programming
Workforce planning
Workforce
Modeling
Workers
Cognitive ability
Experiments
Individual differences
Firing costs
Salary
Experiment
Hiring
Mixed integer programming
Cross-training
Manufacturing systems
Production cost

Keywords

  • Cross-training
  • Human resource management
  • Workforce planning

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Management Science and Operations Research

Cite this

Modelling inherent worker differences for workforce planning. / Wirojanagud, Pornsarun; Gel, Esma; Fowler, John; Cardy, Robert.

In: International Journal of Production Research, Vol. 45, No. 3, 02.2007, p. 525-553.

Research output: Contribution to journalArticle

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