Joint multi-objective master production scheduling and rolling horizon policy analysis in make-to-order supply chains

Abstract

This research studies multi-objective master production schedule (MPS) and advanced order commitment (AOC) in two-stage supply chains. Simulation-based experimental analysis evaluates the impact of environmental and MPS design factors on schedule cost and instability. The results provide insight into multi-objective MPS design considerations through rolling schedule policies. The study reveals that the manufacturer’s production smoothness utility coefficient and its interaction with other experimental factors considerably impact on the system’s performance. In addition, it introduces a simulation framework with embedded mixed integer programming models that could be used as a framework for future research dealing with integrated multi-stage MPS/AOC policy in a variety of planning contexts.