Abstract
The article presents a conceptual framework of Multiple Criteria Decision Support System for choosing technology and contractors. It consists of two modules which conduct the decision process in two phases. The first one equipped in Analytical Hierarchy Process (AHP) method indicates which technology has a priority for a given part to be produced. The solution space contains Addictive Manufacturing, Conventional Manufacturing, and the combination of both. The second phase aids decision-maker in the NP-hard problem which is choosing the best (in multiple criteria sense) configuration of contractors to the order realization with the technologies suggested theretofore. For this phase, a mathematical model and problem formulation are presented. The solution applied for the first phase was tested on the example of data extracted from a real order giving promising results. For the second phase, a solution procedure is proposed, which involves usage of metaheuristic (NSGA II algorithm) and the reference point method. The research for this approach is not a subject of this paper.
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Gąbka, J., Filcek, G. (2018). Multiple Criteria Decision Support System for Making the Best Manufacturing Technologies Choice and Assigning Contractors. In: Wilimowska, Z., Borzemski, L., Świątek, J. (eds) Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology – ISAT 2017. ISAT 2017. Advances in Intelligent Systems and Computing, vol 657. Springer, Cham. https://doi.org/10.1007/978-3-319-67223-6_30
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DOI: https://doi.org/10.1007/978-3-319-67223-6_30
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