This model is developed to minimized makespan, the objective of scheduling. ![]() ![]() This research used genetic algorithm for solving the complex problem of HFFME and the resulting model called the Genetic Algorithm for hybrid and flexible flowshop with machine eligibility (GA-HFFME). HFFME is complicated and is difficult to calculate by using conventional heuristic model. This condition makes CPI is classified as Hybrid and flexible flowshop for machine eligibility (HFFME). Stages may be skipped for a particular job. Every job flow through 5 stage in the same order, but not all stages have to visited by all jobs. Not all jobs can be processed by all machines at a given production stage. The job’s schedule for CPI is prepared for production process that consists of 5 stages where in each stage uses different type of machinery. ![]() The proposed model is quite complicated because of the characteristic of Make to Order (MTO) varies production process greatly between each order. This research was intended to produce an order (job) scheduling model at Carton Packaging Industries (CPI) that is useful for giving information about the time delivery to customers.
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