Editor's note Maejo International Journal of Science and Technology A multi-criteria model for maintenance job scheduling

Oladimeji Ogunwolu, Sunday Oke, Oluwatoyin Popoola
2008 Mj. Int. J. Sci. Tech   unpublished
Since its launching a year ago, the reception for this journal from contributors has been unexpectedly overwhelming. Our first concern over the journal's potential doom due to scanty support has thus been turned the other way round. Our main problem is now how to turn out published articles quickly enough to ensure that our claim of 'rapid' publication is real. We have had to apologise many authors for an unusual delay in publication due to our own undermanned and underfinanced editorial team.
more » ... n this regard, the contributors can help us to a great extent by adjusting their articles exactly as per the journal's format, especially in the reference section. Most important of all, however, is the need for their manuscripts to be properly edited for English and style in order that they can be much more rapidly processed. Abstract: This paper presents a multi-criteria maintenance job scheduling model, which is formulated using a weighted multi-criteria integer linear programming maintenance scheduling framework. Three criteria, which have direct relationship with the primary objectives of a typical production setting, were used. These criteria are namely minimization of equipment idle time, manpower idle time and lateness of job with unit parity. The mathematical model constrained by available equipment, manpower and job available time within planning horizon was tested with a 10-job, 8-hour time horizon problem with declared equipment and manpower available as against the required. The results, analysis and illustrations justify multi-criteria consideration. Thus, maintenance managers are equipped with a tool for adequate decision making that guides against error in the accumulated data which may lead to wrong decision making. The idea presented is new since it provides an approach that has not been documented previously in the literature.
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