Triangular fuzzy numbers for satisfactory quality-environmental decisions in product development

• Autorzy: Siwiec Dominika , Gawlik Remigiusz , Pacana Andrzej

Identyfikatory

DOI

10.37190/ord240411

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

FAHP; FTOPSIS; quality; MCDM; production management

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Operations Research and Decisions
• Rocznik: 2024
• Tom: Vol. 34, No. 4
• Strony: 185--209
• Opis fizyczny: Bibliogr. 35 poz., rys.

Twórcy

autor

Siwiec Dominika

• Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, Rzeszow, Poland

• https://orcid.org/0000-0002-6663-6621

autor

Gawlik Remigiusz

• College of Public Economy and Administration, Institute of Public Policy and Administration, Department of Public Management, Krakow University of Economics, Krakow, Poland
• North-West University, NWU Business School, Potchefstroom, South Africa

• https://orcid.org/0000-0003-3934-2131

autor

Pacana Andrzej

• Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, Rzeszow, Poland

• https://orcid.org//0000-0003-1121-6352

Bibliografia

• [1] Alam Bhuiyan, M. M., and Hammad, A. A hybrid multi-criteria decision support system for selecting the most sustainable structural material for a multistory building construction. Sustainability 15, 4 (2023), 3128.
• [2] Bigolin, M., Danilevicz, de Moura Ferreira Danilevicz, Â., and da Silva Filho, L. C. P. Sustainability requirements for concrete block elements based on recycled CDW: A case study for supporting social production in southern Brazil. In 2016 Portland International Conference on Management of Engineering and Technology (PICMET) (Honolulu, HI, USA, 2016), IEEE, pp. 2413–2419.
• [3] Bonilla-Alicea, R. J., and Fu, K. Social life-cycle assessment (S-LCA) of residential rooftop solar panels using challengederived framework. Energy, Sustainability and Society 12 (2022), 7.
• [4] Chang, D.-Y. Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research 95, 3 (1996), 649–655.
• [5] Chen, C.-T. Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems 114, 1 (2000), 1–9.
• [6] Ciroth, A. ICT for environment in Life Cycle Applications openLCA - A new open source software for Life Cycle Assessment. The International Journal of Life Cycle Assessment 12, 4 (2007), 209–210.
• [7] Ekvall, T., Gottfridsson, M., Nellström, M., Nilsson, J., Rydberg, M., and Rydberg, T. Modelling incineration for more accurate comparisons to recycling in PEF and LCA. Waste Management 136 (2021), 153–161.
• [8] García-Ayllón Veintimilla, S., Hontoria Hernández, E., and Munier, N. The contribution of MCDM to SUMP: The case of Spanish cities during 2006–2021. International Journal of Environmental Research and Public Health 19, 1 (2022), 294.
• [9] Gawlik, R. Enhancing Managerial Decision-Making Through Multicriteria Modeling. MPRA Paper No. 92140, Cracow University of Technology Press, Cracow, 2019.
• [10] Gazda, A., Pacana, A., and Malindžák, D. Study on improving the quality of stretch film by Taguchi method. Przemysł Chemiczny 92, 6 (2013), 980–982 (in Polish).
• [11] Gerus-Gościewska, M., and Gościewski, D. Grey relational analysis (GRA) as an effective method of research into social preferences in urban space planning. Land 11, 1 (2022), 102.
• [12] Kokoç, M., and Ersöz, S. A literature review of interval-valued intuitionistic fuzzy multi-criteria decision-making methodologies. Operations Research and Decisions 31, 4 (2021), 89–116.
• [13] Kupraszewicz, W., and Żółtowski, B. Selecting a team of experts for machine condition diagnostics. Diagnostyka 26 (2002), 94–100 (in Polish).
• [14] Leśniak, A., Kubek, D., Plebankiewicz, E., Zima, K., and Belniak, S. Fuzzy AHP application for supporting contractors’ bidding decision. Symmetry 10, 11 (2018), 642.
• [15] Liu, Y., Eckert, C. M., and Earl, C. A review of fuzzy AHP methods for decision-making with subjective judgements. Expert Systems with Applications 161 (2020), 113738.
• [16] Luna, M., Llorente, I., and Cobo, Á. Integration of environmental sustainability and product quality criteria in the decisionmaking process for feeding strategies in seabream aquaculture companies. Journal of Cleaner Production 217 (2019), 691–701.
• [17] Macioł, A., and Rębiasz, B. Multi-criteria decision analysis (MCDA) methods in life-cycle assessment (LCA): A comparison of private passenger vehicles. Operations Research and Decisions 28, 1 (2018), 5–26.
• [18] Markatos, D. N., Malefaki, S., and Pantelakis, S. G. Sensitivity analysis of a hybrid MCDM model for sustainability assessment—an example from the aviation industry. Aerospace 10, 4 (2023), 385.
• [19] Mu, E., and Pereyra-Rojas, M. Practical Decision Making: An Introduction to the Analytic Hierarchy Process (AHP) Using Super Decisions v2. Springer, 2016.
• [20] Ng, C. Y., and Chuah, K. B. Evaluation of design alternatives’ environmental performance using AHP and ER approaches. IEEE Systems Journal 8, 4 (2014), 1185–1192.
• [21] Ostasz, G., Siwiec, D., and Pacana, A. Model to determine the best modifications of products with consideration customers’ expectations. Energies 15, 21 (2022), 8102.
• [22] Pacana, A., Bednárová, L., Liberko, I., and Woźny, A. Effect of selected production factors of the stretch film on its extensibility. Przemysł Chemiczny 93, 7 (2014), 1139–1140 (in Polish).
• [23] Pacana, A., and Siwiec, D. Universal model to support the quality improvement of industrial products. Materials 14, 24 (2021), 7872.
• [24] Pacana, A., and Siwiec, D. Method of determining sequence actions of products improvement. Materials 15, 18 (2022), 6321.
• [25] Pacana, A., and Siwiec, D. Model to predict quality of photovoltaic panels considering customers’ expectations. Energies 15, 3 (2022), 1101.
• [26] Piasecki, K., and Siwek, J. The portfolio problem with present value modelled by a discrete trapezoidal fuzzy number. Operations Research and Decisions 28, 1 (2018), 57–74.
• [27] Putman, V. L., and Paulus, P. B. Brainstorming, brainstorming rules and decision making. The Journal of Creative Behavior 43, 1 (2009), 29–40.
• [28] Saaty, T. L. Decision-making with the AHP: Why is the principal eigenvector necessary. European Journal of Operational Research 145, 1 (2003), 85–91.
• [29] Saaty, T. L., and Tran, L. T. On the invalidity of fuzzifying numerical judgments in the analytic hierarchy process. Mathematical and Computer Modelling 46, 7-8 (2007), 962–975.
• [30] Senthil Kannan, N., Parameshwaran, R., Saravanakumar, P., Kumar, P. M., and Rinawa, M. L. Performance and quality improvement in a foundry industry using fuzzy MCDM and lean methods. Arabian Journal for Science and Engineering 47, 12 (2022), 15379–15390.
• [31] Siwiec, D., Bednarowa, L., Pacana, A., Zawada, M., and Rusko, M. Decision support in the selection of fluorescent penetrants for industrial non-destructive testing. Przemysł Chemiczny 98 (2019), 1594–1596 (in Polish).
• [32] Siwiec, D., Gawlik, R., and Pacana, A. Fuzzy multi-criteria decision model to support product quality improvement. Management and Production Engineering Review 14, 2 (2023), 134–149.
• [33] Siwiec, D., and Pacana, A. A new model supporting stability quality of materials and industrial products. Materials 15, 13 (2022), 4440.
• [34] Yoshimura, M. System design optimization for product manufacturing. Concurrent Engineering 15, 4 (2007), 329–343.
• [35] Yuan, P., Dong, X., Xu, J., and Lin, X. How government regulations and consumer behavior influence manufacturers’ product green degree decision-making: An agent-based model. Wireless Communications and Mobile Computing 2021 (2021), 5582140.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).