GROUP DECISION MAKING APPROACH FOR RANKING AND SELECTING MAINTENANCE TASKS FOR JOINT SCHEDULING WITH PRODUCTION ORDERS

Group decision-making has captured the attention of researchers for decades but due to its importance and complexity further explorations and studies, namely for its application in industrial engineering continue to be needed in the current digital age. In this paper a group decision making approach is put forward for evaluating and selecting maintenance tasks to enable its joint scheduling with production orders, by using a collaborative management system. The proposed approach includes a two-stage collaborative assessment method, which enables a set of decision makers to rank and select maintenance tasks for being scheduled with production orders. The proposed approach uses a dynamic multi-criteria decision model that aggregates information about historical, current and provisional data about maintenance tasks. The approach is illustrated through an application example and contextualized in the state of the art. This study permits to realize that collaborative management approaches enable conducting a dynamic, integrated, distributed, intelligent, predictive, time and condition based maintenance task management in real time, based on the fusion of past, present and predicted data, and that there is still a lack of contributions regarding its use of in industrial management.