Investment performance analysis of industrial products: Case of an effluent processing facility at a chemical company

Sato, Yuji; Tan, Kim Hua; Tse, Ying Kei

Abstract

This paper proposes an approach to a multi-criteria investment performance analysis of industrial products. Manufacturers must determine the necessary and sufficient specification of products they use. Such an analysis, however, involves a broad range of factors, including some that are subjective. The performance analysis and decision making for investment thus must often rely heavily on past experience, generalities, and intuition. This paper addresses these issues from a benefit, opportunity, cost and risk (BOCR) perspective, in which the criteria are prioritized and the products are evaluated objectively. Pairwise comparisons among the criteria and quantitative assessments of the performance of products comprise a prioritized BOCR analysis. A case study demonstrating the applicability of the proposed approach is conducted at a chemical company. Results show that the proposed approach succeeds in the multi-criteria performance analysis of industrial products, resulting in a practical proposal of a product specification best suited to this company’s case.

Citation

Sato, Y., Tan, K. H., & Tse, Y. K. (2017). Investment performance analysis of industrial products: Case of an effluent processing facility at a chemical company. International Journal of Production Economics, 194, 52-58. https://doi.org/10.1016/j.ijpe.2016.12.021

• Journal Article Type: Article
• Acceptance Date: Dec 12, 2016
• Online Publication Date: Dec 16, 2016
• Publication Date: 2017-12
• Deposit Date: Feb 9, 2017
• Publicly Available Date: Feb 9, 2017
• Journal: International Journal of Production Economics
• Print ISSN: 0925-5273
• Electronic ISSN: 0925-5273
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 194
• Pages: 52-58
• DOI: https://doi.org/10.1016/j.ijpe.2016.12.021
• Keywords: Performance analysis; Industrial products; Customer preference; Subjective factor; Analytic hierarchy process; BOCR analysis
• Public URL: https://nottingham-repository.worktribe.com/output/964978
• Publisher URL: http://www.sciencedirect.com/science/article/pii/S0925527316304005
• Contract Date: Feb 9, 2017