Sato, Yuji, Tan, Kim Hua and Tse, Ying Kei orcid.org/0000-0001-6174-0326 (2017) Investment Performance Analysis of Industrial Products:Case of an Effluent Processing Facility at a Chemical Company. International Journal of Production Economics. pp. 52-58. ISSN 0925-5273
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 Elsevier B.V. All rights reserved. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details. |
Keywords: | Analytic hierarchy process,BOCR analysis,Customer preference,Industrial products,Performance analysis,Subjective factor |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Social Sciences (York) > The York Management School |
Depositing User: | Pure (York) |
Date Deposited: | 09 Jan 2017 09:31 |
Last Modified: | 26 Nov 2024 00:32 |
Published Version: | https://doi.org/10.1016/j.ijpe.2016.12.021 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1016/j.ijpe.2016.12.021 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:110269 |