TY - JFULL AU - Halil Ibrahim Demir and Tar谋k Cakar and Ibrahim Cil and Muharrem Dugenci and Caner Erden PY - 2016/8/ TI - Integrating Process Planning, WMS Dispatching, and WPPW Weighted Due Date Assignment Using a Genetic Algorithm T2 - International Journal of Computer and Information Engineering SP - 1323 EP - 1332 VL - 10 SN - 1307-6892 UR - https://publications.waset.org/pdf/10005156 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 115, 2016 N2 - Conventionally, process planning, scheduling, and due-date assignment functions are performed separately and sequentially. The interdependence of these functions requires integration. Although integrated process planning and scheduling, and scheduling with due date assignment problems are popular research topics, only a few works address the integration of these three functions. This work focuses on the integration of process planning, WMS scheduling, and WPPW due date assignment. Another novelty of this work is the use of a weighted due date assignment. In the literature, due dates are generally assigned without considering the importance of customers. However, in this study, more important customers get closer due dates. Typically, only tardiness is punished, but the JIT philosophy punishes both earliness and tardiness. In this study, all weighted earliness, tardiness, and due date related costs are penalized. As no customer desires distant due dates, such distant due dates should be penalized. In this study, various levels of integration of these three functions are tested and genetic search and random search are compared both with each other and with ordinary solutions. Higher integration levels are superior, while search is always useful. Genetic searches outperformed random searches. ER -