Multicriteria decision analysis (MCDA) has been one of the fastest-growing areas of operations research during the last decade. The research attention devoted to MCDA motivated the development of a great variety of approaches and methods within the field. These methods differentiate themselves in terms of procedures, theoretical assumptions and type of decision addressed. This diverseness of these methods poses a great challenge to the process of selecting the most suitable method for a specific real-world decision problem. In this paper, we present a case study for a real-world decision problem in the painting department of an automobile assembly plant. We solved the problem by applying the well-known AHP method and the MCDA method proposed by Pereira and Sameiro de Carvalho (2005) (MMASSI). By applying two MCDA methods rather than one, we expect to improve the robustness of the results obtained. The contributions of this paper are twofold: first, we intend to compare the results obtained with the two MCDA methods (i.e. AHP and MMASSI). Secondly, we intend to enrich the literature in the field with a real-world MCDA case study on a complex decision making problem, since there is a paucity of research work addressing real-world decision problems faced by organizations.
Oliveira, Márcia; Fontes, Dalila B. M. M.; and Pereira, Teresa
"Multicriteria Decision Making: A Case Study in the Automobile Industry,"
Annals of Management Science: Vol. 3
, Article 6.
Available at: https://digitalscholarship.tnstate.edu/ams/vol3/iss1/6