Triangular fuzzy numbers for satisfactory quality-environmental decisions in product development
Dominika Siwiec (),
Remigiusz Gawlik and
Andrzej Pacana ()
Operations Research and Decisions, 2024, vol. 34, issue 4, 185-209
Abstract:
The paper presents a novel MCDM model aimed at enhancing satisfactory quality-environmental decisions in product development. The model integrates FAHP, FTOPSIS, Pareto–Lorenz and global sensitivity analyses. It enables to study products with respect to quality level, environmental impact throughout its life cycle and simultaneous consideration on quality level and environmental impact. Results of the research on the example of a smartphone demonstrate that the model successfully identified specific criteria for improvement, offering a valuable tool for enhancing customer satisfaction and promoting environmentally friendly product development. The originality of the research lies in the calculation of the average weights of product criteria with triangular fuzzy numbers, based on the principles of fuzzy logic and FAHP. As a compact, ready-to-use solution, our innovative MCDM model can be employed by organizations to enhance the quality and environmental impact of their products.
Keywords: FAHP; FTOPSIS; quality; MCDM; production management (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://ord.pwr.edu.pl/assets/papers_archive/ord2024vol34no4_11.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wut:journl:v:34:y:2024:i:4:p:185-209:id:11
DOI: 10.37190/ord240411
Access Statistics for this article
More articles in Operations Research and Decisions from Wroclaw University of Science and Technology, Faculty of Management Contact information at EDIRC.
Bibliographic data for series maintained by Adam Kasperski ().