Abstract
Multiproduct mechanical engineering, where, as a rule, first samples of high-tech and science intensive products are produced, is characterized by a great number of orders having to be done simultaneously and to be renewed continually as well as by simplified process-layout preparation (predetermining the approximation of standard time for production steps). Therefore, manufacturing systems work under uncertainty when their current state cannot be identified and which leads to some difficulties in determining the way of corrective control action. One of the critical stages in determining manufacturing system capacity is volume planning which, consequently, influences the whole system of division plans. The uncertainty in decision-making can be decreased with “advice” automated systems when Control Subjects are making agreed decisions. The research describes the problem of making agreed decisions for volume manufacturing plans. An automated technological process control system generates options of control actions, with experts analyzing and assessing them, then choosing the most feasible one with fuzzy sets. The method developed was piloted at the base plant.
The work is done with funding from RFBR, project 17-01-00566.
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Burdo, G. (2018). Decision Models for Volume Plans in Mechanical Engineering. In: Abraham, A., Kovalev, S., Tarassov, V., Snasel, V., Vasileva, M., Sukhanov, A. (eds) Proceedings of the Second International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’17). IITI 2017. Advances in Intelligent Systems and Computing, vol 680. Springer, Cham. https://doi.org/10.1007/978-3-319-68324-9_8
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