Order Acceptance and Scheduling Considering Lot-Spitting in seru Production System

For the manufacturing companies that take make-to-order production, due to limited production capacity, accept and process all orders may result in delayed delivery of some orders, so the companies not only have to pay a large amount of delay penalty, but also may lose a large number of customers. In this case, the order acceptance and scheduling problem in the seru production system with limited processing capability and the promised delivery time are considered in this paper. At the same time, lot-spitting is also concerned, and an integrated decision-making model for order acceptance and scheduling with the goal of maximizing net profit is established. An improved genetic algorithm is designed for the proposed model. In the end, a numerical example is applied to illustrate the validity and feasibility of the proposed model and algorithm.