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Arjun, R A S and Vinodh, S (2016) A case study on application of ORESTE for agile concept selection. Journal of Engineering, Design and Technology, 14(04), 781-801.

  • Type: Journal Article
  • Keywords: Design; Agility; TOPSIS; Multi-criteria decision-making; Agile manufacturing; Multi-objective; Concept selection; ORESTE
  • URL: https://doi.org/10.1108/JEDT-08-2014-0053
  • Abstract:
    Purpose The purpose of this paper is to report a research on application of ORESTE (Organization, Rangement Et Synthese De Donnees Relationnelles, when translated into English means organization, storage and summarizing data relational) for agile concept selection. Design/methodology/approach The concept selection problem has been formulated as a multi-criteria decision-making (MCDM) problem to select the best concept design of the rotary switch component. ORESTE has been used as solution methodology. The selected concept design alternatives were subjected to implementation. Findings As ORESTE is a preferential outranking method, it uses ordinal data, enabling decision makers in situations where practically sufficient data are not available. This paper uses ORESTE for agile concept selection where gathering sufficient data is difficult. Also, the results generated by ORESTE have been compared with technique for order performance by similarity to an ideal solution. Research limitations/implications In the present study, ORESTE has been applied for concept selection of rotary switch component. In future, more number of studies need to be conducted to select more concept design alternatives where getting prior information is difficult or consumes more time to ensure practical effectiveness of ORESTE. Practical implications The application of ORESTE for concept design selection enabled the practitioners to select the best concept with ordinal data and also enabled scope for indifferentiability and incomparableness of any two alternatives in the final outranking. Originality/value Formulation of MCDM problem for agile concept selection and solution generation using ORESTE is the original contribution of the authors.