Production Scheduling Model and Machine Assignment to Automotive Parts Manufacturing for Optimum Production

PT. XYZ is a company engaged in the field of Automotive Parts Manufacturer. In carrying out its production this uses make to order. The carries simple planning and scheduling, namely FCFS (First Come First Serve). has problem, there no scheduling with appropriate machine assignment. This causes sometimes experience delays completing product. purpose study overcome problems companies minimize order completion time (makespan). method used Heuristic Pour method, development new heuristic algorithm flowshop aim minimizing makespan based on combination approach Genetic Algorithm which will be assisted help MATLAB R2016a software computational commonly solve search for values an optimization problem. Based data processing that been done, results are obtained using Job 4 (J4)-Job 2 (J2) -Job 7 (J7) 6 (J6) 5 (J5) 3 (J3) ) 1 (J1) gets 19440 minutes or equal 16 working days total delay day. While selected getsthe (J4) ( J5) best 18660 15 days, was requests. expected consider review use because it can provide more optimum demand (makespan), so reduce fulfilling customer