5. Concluding remarks and future research
This paper proposes an approach to multi-criteria performance analysis of industrial products and subsequently optimizes the specification of a product for a manufacturer in which an EPS is employed as one of the industrial products requiring massive amounts of capital investment. The performance analysis integrates objective data and subjective preference for products, and not only satisfies the legal requirement, but also takes customer preference into account in the design of the product. The approach contributes to making the decision path more transparent and solid than traditional approach could do. The case study demonstrates the applicability of the approach that supports customers in designing an EPS, in which the best architecture and specifications for the product were identified. The application of the AHP is a simple approach to transforming subjective information into objective data, while the BOCR analysis is a systematic approach to evaluating the performance of the system. The proposed approach, therefore, allows a manufacturer to deal with these objective data and subjective information on the same horizon. By providing clarity to the process of the performance analysis, the decision-making results are transparent and traceable.
Since an EPS requires massive amounts of capital investment, many company executives will face this decision-making process. Such as the case of group decision making, diverse ideas and opinions affect the decision-making process, which sometimes results in confusion among decision makers. While a number of approaches to the performance analysis of industrial products have been proposed, approaches to the design of an EPS have been limited. In addition, even though many decision-support frameworks have been proposed, little research has provided a systematic model that considers intangible factors. The multicriteria performance analysis proposed in this paper is thus significant, as each decision criterion and evaluation result can be clarified at each decision-making step. The approach can be applied to more general supply chain management, such as for build-to-order products ranging from personal computers to custom-built homes.