<![CDATA[CV. Kembar Jaya is a metal casting manufacturing company which applies Make to Order (MTO) system. It,s characteristic of scheduling is dynamic batch on flow shop production system. This scheduling method has risen the tardiness of order completion and high level of pouring scrap. To solve this problem, a rescheduling procedure which able to increase the system’s performance is needed. To increase the system performance, a development of batch dynamic scheduling algorithm has been done to minimize the mean tardiness and total pouring scrap. The algorithm consists of setting molding area initialization and five sub algorithms. Sub algorithm of sorting order and determinating batch size will sort and breakdown the order into batches. Sub algorithm of molding area repairing will determine molding area allocation for batches. To prevent the drop temperature, sub algorithm of determination pouring time will identify the pouring temperature for batches. Sub algorithm of batch scheduling will schedule batch to work station. Then sub algorithm of rescheduling will accommodate the dynamic environment when order was inserted. Mean tardiness from the scheduling algorithm application is 7.39 hours or minimize mean tardiness until 65.72 %, from the current scheduling algorithm. Application of the scheduling algorithm can reduce total pouring scrap into 0 kg or 100 %.]]>
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