Three-phase approach to service staff assignment for MRO tasks

Kai Pan, Xinjian Gu, Na Chen, Yangjian Ji, Chengyi Le

Research output: Journal article publicationJournal articleAcademic researchpeer-review

2 Citations (Scopus)

Abstract

Whereas the importance of MRO (Maintenance, Repair and Overhaul/Operation) service has been emphasised in manufacturing industries, few studies have focused on service staff assignment of MRO activities in spite of its great relevance. This paper aims to propose a novel method for assigning proper staff to specific task in such activities. Business object and process models are established, while two key problems, namely skill requirement analysis for MRO service tasks and assigning service staff, are pointed out. To present MRO service skills and properties of level, skill vector is stated and used to analyse skill requirements of tasks. A three-phase approach to assign service staff is put forward, applying an improved Genetic Algorithm (GA) and specific evaluation pattern to intelligently search and rank the feasible groups of service staff. Finally, a decision support system that is implemented to validate the approach proposed ahead is introduced.
Original languageEnglish
Pages (from-to)96-116
Number of pages21
JournalInternational Journal of Services Operations and Informatics
Volume7
Issue number2-3
DOIs
Publication statusPublished - 1 Dec 2012
Externally publishedYes

Keywords

  • GA
  • Genetic algorithm
  • MRO
  • Product service
  • Staff assignment

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems
  • Computer Science Applications
  • Management Science and Operations Research

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