Abstract
The control plan optimization is an important issue for manufacturing companies in order to produce high quality products at lower costs. This paper presents a Multi-Criteria Decision Making framework to establish an efficient control plan. The proposed approach models the problem of selecting the best control scenario based on the decision maker preferences, and takes into account conflicting criteria such as reducing the Risk Priority Number and minimizing the control cost and time. At the first stage, Analytic Hierarchy Process (AHP) is used to provide priorities ratings for the available control alternatives. In the second step, the Choquet integral operator is employed for the aggregation of the partial scores obtained for the different alternatives according to each criterion in order to deal with the existing interactions between the criteria. An industrial case study from a manufacturing enterprise is provided to illustrate the application of the suggested approach.
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Oukhay, F., Ben Mahmoud, H., Ben Romdhane, T. (2017). Application of Multi-Criteria Decision Making Method for Developing a Control Plan. In: Benferhat, S., Tabia, K., Ali, M. (eds) Advances in Artificial Intelligence: From Theory to Practice. IEA/AIE 2017. Lecture Notes in Computer Science(), vol 10350. Springer, Cham. https://doi.org/10.1007/978-3-319-60042-0_43
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DOI: https://doi.org/10.1007/978-3-319-60042-0_43
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