Optimization of production and maintenance multiple machines scheduling in batch production system: A case study on the pharmaceutical industry in Central Java, Indonesia

In industrial production management, production scheduling planning is a very important thing that aims to optimize production time and costs to meet consumer needs and gain the maximum profit. During the production process, other things also need to be considered, for instance, machine reliability. In addition, we assume that the production system is in batch production. It means that we produce items in several groups with a variety of different specifications so that each batch requires varying operational conditions in each process. Therefore, this paper proposes the optimization of production and maintenance machine scheduling, taking into varying operational conditions on the pharmaceutical industry in Central Java, Indonesia. We apply two methods to solve the problem, i.e., biased random key genetic and random key genetic algorithms. Each method combined with the Jaya algorithm and convex set theory to obtain the optimal scheduling results. The results show the total cost is different, but the total cost results obtained from the two methods are close enough.