Proposing New Heuristic Approaches for Preventive Maintenance Scheduling Print

The purpose of preventive maintenance management is to perform a series of tasks that prevent or minimize production breakdowns and improve reliability of production facilities. An important objective of preventive maintenance management is to minimize downtime of production facilities. In order to accomplish this objective، personnel should efficiently allocate resources and determine an effective maintenance schedule. Gopalakrishnan (1997) developed a mathematical model and four heuristic approaches to solve the preventive maintenance scheduling problem of assigning skilled personnel to work with tasks that require a set of corresponding skills. However، there are several limitations in the prior work in this area of research. The craft combination problem has not been solved because the craft combination is assumed as given. The craft combination problem concerns the computation of all combinations of assigning multi skilled workers to accomplishment of a particular task. In fact، determining craft combinations is difficult because of the exponential number of craft combinations that are possible. This research provides a heuristic approach for determining the craft combination and four new heuristic approach solution for the preventive maintenance scheduling problem with multi skilled workforce constraints. In order to examine the new heuristic approach and to compare the new heuristic approach with heuristic approach of Gopalakrishnan (1997)، 81 standard problems have been generated based on the criterion suggested by from Gopalakrishnan (1997). The average solution quality (SQ) of the new heuristic approaches is 1. 86% and in old heuristic approaches is 8. 32%. The solution time of new heuristic approaches are shorter than old heuristic approaches. The solution time of new heuristic approaches is 0. 78 second and old heuristic approaches is 6. 43 second، but the solution time of mathematical model provided by Gopalakrishnan (1997) is 152 second.