Abstract
Nowadays, companies have to react dynamically to changes in the demand of a products. Therefore, the production processes should be properly planned. The problem arises when there are several options, but it is not known which version to choose. By using the KbRS tool, sample schedules for a certain production processes were shown. In addition, the program is not only focused on the achieved maximum process times, but also on the module related to the costs. Thanks to this solution, the decision-maker obtains information not only about times, but also costs. Of course, there are also specific constraints, which make a set of solutions. At this point, depending on the situation examined, which decision making people determines, which solution to choose. It can be a time-related version or a cost-related version. This is important because, manufacturers receive a signal from the market that informs about the need of a personalized products. This needs are characteristic of the so-called fourth industrial revolution, in which customers are looking for a personalized products. But also this revolution is connected with the integration: machines, people and computer systems. And next the price of personalized products are close to the price obtained in mass production. Therefore, apart from integration and security, there is need to have tools that will help planning production processes in dynamic changing needs.
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Olender, M., Kalinowski, K., Grabowik, C. (2019). Practical Approach of Flexible Job Shop Scheduling Using Costs and Finishing Times of Operations. In: Burduk, A., Chlebus, E., Nowakowski, T., Tubis, A. (eds) Intelligent Systems in Production Engineering and Maintenance. ISPEM 2018. Advances in Intelligent Systems and Computing, vol 835. Springer, Cham. https://doi.org/10.1007/978-3-319-97490-3_38
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DOI: https://doi.org/10.1007/978-3-319-97490-3_38
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