MODELLING FOR EMERGENCY MANUFACTURING RESOURCES SCHEDULE TO UNEXPECTED EVENTS

摘要

This paper addresses an emergency scheduling for manufacturing resources (ESMR) problem and a method based on event-driven rolling optimization according to the production task priority is developed for solving it. A mathematical model aiming to maximum resource scheduling satisfaction, minimize tardiness penalties and minimize crash cost is proposed firstly. Then, the priority of the tasks in rolling window is analysed based on production system vulnerability. An adaptive multi-objective dynamic resource scheduling algorithm is proposed as a solution of the model above. Analytic results show that it is not only able to effectively reduce the complexity of ESMR, but also to reveal influence of task importance on ESMR. With the analysis, it can provide way of measuring the overall emergency impacts on the systems, and allow the decision-makers to respond to unexpected events that what the best way of resources scheduling is.