Reactive production scheduling approach based on inventory availability

Abstract

Most manufacturing systems deal with dynamic environments where unpredictable events in real-time can cause a change in scheduled plans. Thereof, production scheduling is a decision-making process whose objective is to allocate limited resources to activities in order to optimize the production system. Thus, the development of an adaptive approach can improve efficiency and control of operations. This paper proposes a new reactive production scheduling approach based on inventory availability. Therefore simulation-based optimization is used to optimize job sequencing decisions in reaction to the current inventory availability. The approach is evaluated considering a real-world scenario based on an automotive component manufacturing company. As a result, the evaluation shows that this approach is able to deal with stochastic events and react to systems disruptions and improves the performance of the production system for the key performance indicator considered.