An Agent-Based Approach for Make-To-Order Master Production Scheduling

In recent decades, manufacturers’ intense competitiveness to suit consumer expectations has compelled them abandon the conventional workflow in favour of a more flexible one. This new trend increased importance master production schedule and make-to-order (MTO) strategy concepts. The former improves overall planning controls complexity. latter enables businesses reinforce their flexibility produce customized products. setting, fluctuating resource capacity restricts line performance, ignoring this fact renders inapplicable. current research work addresses MPS problem context MTO environment. objective is resolve Rough-Cut Capacity Planning by considering fluctuation customer’s order with minimum cost imposed company customer side. Consequently, study an initial attempt propose mathematical programming approach, which provides optimum result for small medium-size problems. Regarding combinatorial intrinsic kind problem, approach can no longer reach solution large-scale problem. To overcome this, innovative agent-based heuristic been proposed. Computational experiments on variously sized problems confirm efficiency approach.