A fast heuristic for large-scale assembly job shop scheduling problems with bill of materials

In this paper, we study an assembly job shop scheduling problem with tree-structured precedence constraints and jobs characterized by specific bills of materials. We propose a fast and efficient constructive heuristic that is able to easily deal with real-world sized instances. The production schedule takes into account the actual availability of materials in stock as well as the supply times and the capacity constraints, with the goal to minimize the average delay with respect to the due dates associated to the customers’ orders. Computational results on data related to real-life instances show that our approach is able to solve efficiently very large problems. Moreover, the proposed heuristic turns out to be scalable as the instance size grows. Key–Words: Assembly job shop, Bill of materials, Operations scheduling, Heuristics