Production
https://prod.org.br/article/doi/10.1590/0103-6513.20220019
Production
Research Article

A fuzzy multicriteria group decision approach for circular business models prioritization

Rafael Ferro Munhoz Arantes; Lucas Gabriel Zanon; Lucas Daniel Del Rosso Calache; Ana Carolina Bertassini; Luiz César Ribeiro Carpinetti

Downloads: 0
Views: 154

Abstract

Paper aims: Presents a new group decision approach for circular business models (CBMs) prioritization based on circular economy (CE) principles and indicators.

Originality: It was not found in the literature quantitative approaches to indicate which CBMs can be prioritized towards CE implementation.

Research method: Fuzzy AHP is applied to calculate the weights of the CE principles. Fuzzy TOPSIS is used to rank the CBMs. A pilot application demonstrates the applicability of the proposed approach.

Main findings: To perform equally on all dimensions of the circularity indicators, recovery by-products have a greater impact on CE implementation. Focusing on economic indicators, Product as a Service and Recovery By-Products should receive priority. Focusing on social indicators, Product as a Service is the most recommended CBM.

Implications for theory and practice: It was identified the CBMs that are most suitable for performance improvement regarding CE implementation, according to the organization’s dominant CE principles.

Keywords

Circular economy, Circular Business Models, Multi-Criteria Decision Making, Fuzzy AHP, Fuzzy TOPSIS

References

Abdullah, L. (2013). Fuzzy multi criteria decision making and its applications: a brief review of category. Procedia: Social and Behavioral Sciences, 97, 131-136. http://dx.doi.org/10.1016/j.sbspro.2013.10.213.

Agrawal, R., Wankhede, V. A., Kumar, A., & Luthra, S. (2021). Analysing the roadblocks of circular economy adoption in the automobile sector: reducing waste and environmental perspectives. Business Strategy and the Environment, 30(2), 1051-1066. http://dx.doi.org/10.1002/bse.2669.

Ali, Y., Jokhio, D. H., Dojki, A. A., Rehman, O. U., Khan, F., & Salman, A. (2021). Adoption of circular economy for food waste management in the context of a developing country. Waste Management & Research, 40(6), 734242X211038198. https://doi.org/10.1177/0734242X211038198.

Amiri, M., Hashemi-Tabatabaei, M., Ghahremanloo, M., Keshavarz-Ghorabaee, M., Zavadskas, E. K., & Salimi-Zavieh, S. G. (2022). Evaluating barriers and challenges of circular supply chains using a decision-making model based on rough sets. International Journal of Environmental Science and Technology, 1-22. http://dx.doi.org/10.1007/s13762-021-03899-7.

Antikainen, M., & Valkokari, K. (2016). A framework for sustainable circular business model innovation. Technology Innovation Management Review, 6(7), 5-12. http://dx.doi.org/10.22215/timreview/1000.

Arponen, J., Juvonen, L., & Vanne, P. (2018). Circular economy business models for the manufacturing industry: Circular Economy Playbook for Finnish SMEs. SITRA.

Awasthi, A., Chauhan, S. S., & Omrani, H. (2011). Application of fuzzy TOPSIS in evaluating sustainable transportation systems. Expert Systems with Applications, 38(10), 12270-12280. http://dx.doi.org/10.1016/j.eswa.2011.04.005.

Barreiro‐Gen, M., & Lozano, R. (2020). How circular is the circular economy? Analysing the implementation of circular economy in organisations. Business Strategy and the Environment, 29(8), 3484-3494. http://dx.doi.org/10.1002/bse.2590.

Bertassini, A. C., Calache, L. D. D. R., Carpinetti, L. C. R., Ometto, A. R., & Gerolamo, M. C. (2022). CE-oriented culture readiness: an assessment approach based on maturity models and fuzzy set theories. Sustainable Production and Consumption, 31, 615-629. http://dx.doi.org/10.1016/j.spc.2022.03.018.

Bertassini, A. C., Zanon, L. G., Azarias, J. G., Gerolam, M. C., & Omettoo, A. R. (2021a). Circular business ecosystem innovation: a guide for mapping stakeholders, capturing values, and finding new opportunities. Sustainable Production and Consumption, 27, 436-448. https://doi.org/10.1016/j.spc.2020.12.004.

Bertassini, A. C., Ometto, A. R., Severengiz, S., & Gerolamo, M. C. (2021b). Circular economy and sustainability: the role of organizational behaviour in the transition journey. Business Strategy and the Environment, 30(7), 3160-3193. http://dx.doi.org/10.1002/bse.2796.

Bocken, N. M., Weissbrod, I., & Tennant, M. (2016, April). Business model experimentation for sustainability. In International conference on sustainable design and manufacturing (pp. 297-306). Cham: Springer.

Bocken, N., Strupeit, L., Whalen, K., & Nußholz, J. (2019). A review and evaluation of circular business model innovation tools. Sustainability, 11(8), 2210. http://dx.doi.org/10.3390/su11082210.

British Standards Institution – BSI. (2017). BS 8001:2017. Framework for Implementing the Principles of the Circular Economy in Organizations e Guide. London: The British Standards Institution.

Büyüközkan, G., & Göçer, F. (2021). Evaluation of software development projects based on integrated pythagorean fuzzy methodology. Expert Systems with Applications, 183, 115355. http://dx.doi.org/10.1016/j.eswa.2021.115355.

Büyüközkan, G., & Güler, M. (2021). A combined hesitant fuzzy MCDM approach for supply chain analytics tool evaluation. Applied Soft Computing, 112, 107812. http://dx.doi.org/10.1016/j.asoc.2021.107812.

Caiado, R. G. G., Scavarda, L. F., Gavião, L. O., Ivson, P., Nascimento, D. L. M., & Garza-Reyes, J. A. (2021). A fuzzy rule-based industry 4.0 maturity model for operations and supply chain management. International Journal of Production Economics, 231, 107883. http://dx.doi.org/10.1016/j.ijpe.2020.107883.

Çelikbilek, Y., & Tüysüz, F. (2020). An in-depth review of theory of the TOPSIS method: An experimental analysis. Journal of Management Analytics, 7(2), 281-300.

Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95(3), 649-655. http://dx.doi.org/10.1016/0377-2217(95)00300-2.

Chang, P. T., & Hung, K. C. (2005). Applying the fuzzy-weighted-average approach to evaluate network security systems. Computers & Mathematics with Applications (Oxford, England), 49(11-12), 1797-1814. http://dx.doi.org/10.1016/j.camwa.2004.10.042.

Chang, P. T., Hung, K. C., Lin, K. P., & Chang, C. H. (2006). A comparison of discrete algorithms for fuzzy weighted average. IEEE Transactions on Fuzzy Systems, 14(5), 663-675. http://dx.doi.org/10.1109/TFUZZ.2006.878253.

Chen, C. T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems, 114(1), 1-9. http://dx.doi.org/10.1016/S0165-0114(97)00377-1.

Chen, D., Faibil, D., & Agyemang, M. (2020). Evaluating critical barriers and pathways to implementation of e-waste formalization management systems in Ghana: a hybrid BWM and fuzzy TOPSIS approach. Environmental Science and Pollution Research International, 27(35), 44561-44584. http://dx.doi.org/10.1007/s11356-020-10360-8. PMid:32772292.

Dede, G., Kamalakis, T., & Sphicopoulos, T. (2016). Theoretical estimation of the probability of weight rank reversal in pairwise comparisons. European Journal of Operational Research, 252(2), 587-600. http://dx.doi.org/10.1016/j.ejor.2016.01.059.

Deng, X., Li, W., & Liu, Y. (2021). Hesitant fuzzy portfolio selection model with score and novel hesitant semi-variance. Computers & Industrial Engineering, 184, 107879. https://doi.org/10.1016/j.cie.2021.107879.

Dubois, D. J. (1980). Fuzzy sets and systems: theory and applications (Vol. 144). Cambridge: Academic Press.

Dwivedi, G., Srivastava, R. K., & Srivastava, S. K. (2018). A generalised fuzzy TOPSIS with improved closeness coefficient. Expert Systems with Applications, 96, 185-195. http://dx.doi.org/10.1016/j.eswa.2017.11.051.

Ellen MacArthur Foundation, & McKinsey & Company. (2014). Towards the circular economy: accelerating the scale-up across global supply chains. Ellen MacArthur Foundation. Retrieved in 2022, March 4, from https://www3.weforum.org/docs/WEF_ENV_TowardsCircularEconomy_Report_2014.pdf

Ellen MacArthur Foundation. (2012). Towards the circular economy: Economic and business rationale for an accelerated transition. Retrieved in 2022, March 4, from https://www.ellenmacarthurfoundation.org/assets/downloads/publications/Ellen-MacArthur-Foundation-Towards-the-Circular-Economy-vol.1.pdf

Erol, I., Murat Ar, I., Peker, I., & Searcy, C. (2022). Alleviating the impact of the barriers to circular economy adoption through blockchain: an investigation using an integrated MCDM-based QFD with hesitant fuzzy linguistic term sets. Computers & Industrial Engineering, 165, 107962. http://dx.doi.org/10.1016/j.cie.2022.107962.

Ferasso, M., Beliaeva, T., Kraus, S., Clauss, T., & Ribeiro‐Soriano, D. (2020). Circular economy business models: the state of research and avenues ahead. Business Strategy and the Environment, 29(8), 3006-3024. http://dx.doi.org/10.1002/bse.2554.

Fidan, F. Ş., Aydoğan, E. K., & Uzal, N. (2021). An integrated life cycle assessment approach for denim fabric production using recycled cotton fibers and combined heat and power plant. Journal of Cleaner Production, 287, 125439. http://dx.doi.org/10.1016/j.jclepro.2020.125439.

Fonseca, L. M., Domingues, J., Pereira, M., Martins, F., & Zimon, D. (2018). Assessment of circular economy within Portuguese organizations. Sustainability, 10(7), 2521. http://dx.doi.org/10.3390/su10072521.

Geissdoerfer, M., Savaget, P., Bocken, N. M., & Hultink, E. J. (2017). The Circular Economy–A new sustainability paradigm? Journal of Cleaner Production, 143, 757-768. http://dx.doi.org/10.1016/j.jclepro.2016.12.048.

Genc, O., Kurt, A., Yazan, D. M., & Erdis, E. (2020). Circular eco-industrial park design inspired by nature: An integrated non-linear optimization, location, and food web analysis. Journal of Environmental Management, 270, 110866. http://dx.doi.org/10.1016/j.jenvman.2020.110866. PMid:32721312.

Govindan, K. (2022). Tunneling the barriers of blockchain technology in remanufacturing for achieving sustainable development goals: a circular manufacturing perspective. Business Strategy and the Environment, bse.3031. http://dx.doi.org/10.1002/bse.3031.

Govindan, K., Nasr, A. K., Karimi, F., & Mina, H. (2022). Circular economy adoption barriers: An extended fuzzy best–worst method using fuzzy DEMATEL and Supermatrix structure. Business Strategy and the Environment, 31(4), 1566-1586. http://dx.doi.org/10.1002/bse.2970.

Gue, I. H. V., Promentilla, M. A. B., Tan, R. R., & Ubando, A. T. (2020). Sector perception of circular economy driver interrelationships. Journal of Cleaner Production, 276, 123204. http://dx.doi.org/10.1016/j.jclepro.2020.123204.

Guh, Y. Y., Po, R. W., & Lee, E. S. (2008). The fuzzy weighted average within a generalized means function. Computers & Mathematics with Applications (Oxford, England), 55(12), 2699-2706. http://dx.doi.org/10.1016/j.camwa.2007.09.009.

Gupta, H., Kumar, A., & Wasan, P. (2021). Industry 4.0, cleaner production and circular economy: An integrative framework for evaluating ethical and sustainable business performance of manufacturing organizations. Journal of Cleaner Production, 295, 126253. http://dx.doi.org/10.1016/j.jclepro.2021.126253.

Haleem, A., Khan, S., Luthra, S., Varshney, H., Alam, M., & Khan, M. I. (2021). Supplier evaluation in the context of circular economy: a forward step for resilient business and environment concern. Business Strategy and the Environment, 30(4), 2119-2146. http://dx.doi.org/10.1002/bse.2736.

Hopkinson, P., De Angelis, R., & Zils, M. (2020). Systemic building blocks for creating and capturing value from circular economy. Resources, Conservation and Recycling, 155, 104672. http://dx.doi.org/10.1016/j.resconrec.2019.104672.

Husain, Z., Maqbool, A., Haleem, A., Pathak, R. D., & Samson, D. (2021). Analyzing the business models for circular economy implementation: a fuzzy TOPSIS approach. Operations Management Research, 14(3), 256-271. http://dx.doi.org/10.1007/s12063-021-00197-w.

Hwang, C. L., & Yoon, K. P. (1981). TOPSIS (technique for order preference by similarity to ideal solution)–a multiple attribute decision making: multiple attribute decision making–methods and applications, a state-of-the-at survey. Berlin: Springer Verlag.

Ikram, M., Zhang, Q., & Sroufe, R. (2020). Developing integrated management systems using an AHP‐Fuzzy VIKOR approach. Business Strategy and the Environment, 29(6), 2265-2283. http://dx.doi.org/10.1002/bse.2501.

Kahraman, C., Onar, S. C., & Oztaysi, B. (2015). Fuzzy multicriteria decision-making: a literature review. International Journal of Computational Intelligence Systems, 8(4), 637-666. https://doi.org/10.1080/18756891.2015.1046325.

Karuppiah, K., Sankaranarayanan, B., Ali, S. M., Jabbour, C. J. C., & Bhalaji, R. K. A. (2021). Inhibitors to circular economy practices in the leather industry using an integrated approach: implications for sustainable development goals in emerging economies. Sustainable Production and Consumption, 27, 1554-1568. http://dx.doi.org/10.1016/j.spc.2021.03.015.

Kazancoglu, Y., Ozkan-Ozen, Y. D., Mangla, S. K., & Ram, M. (2022). Risk assessment for sustainability in e-waste recycling in circular economy. Clean Technologies and Environmental Policy, 24(4), 1145-1157. http://dx.doi.org/10.1007/s10098-020-01901-3.

Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., & Antucheviciene, J. (2017). Supplier evaluation and selection in fuzzy environments: a review of MADM approaches. Economic Research-Ekonomska Istrazivanja, 30(1), 1073-1118. http://dx.doi.org/10.1080/1331677X.2017.1314828.

Khan, F., & Ali, Y. (2022a). A facilitating framework for a developing country to adopt smart waste management in the context of circular economy. Environmental Science and Pollution Research International, 29(18), 26336-26351. http://dx.doi.org/10.1007/s11356-021-17573-5. PMid:34850345.

Khan, F., & Ali, Y. (2022b). Implementation of the circular supply chain management in the pharmaceutical industry. Environment, Development and Sustainability, 1-27. http://dx.doi.org/10.1007/s10668-021-02007-6. PMid:35035276.

Khan, S., & Haleem, A. (2020). Strategies to implement circular economy practices: a fuzzy DEMATEL approach. Journal of Industrial Integration and Management, 5(2), 253-269. http://dx.doi.org/10.1142/S2424862220500050.

Kharola, S., Ram, M., Kumar Mangla, S., Goyal, N., Nautiyal, O. P., Pant, D., & Kazancoglu, Y. (2022). Exploring the green waste management problem in food supply chains: a circular economy context. Journal of Cleaner Production, 351, 131355. http://dx.doi.org/10.1016/j.jclepro.2022.131355.

Kirchherr, J., Reike, D., & Hekkert, M. (2017). Conceptualizing the circular economy: An analysis of 114 definitions. Resources, Conservation and Recycling, 127, 221-232. http://dx.doi.org/10.1016/j.resconrec.2017.09.005.

Klir, G., & Yuan, B. (1995). Fuzzy sets and fuzzy logic (Vol. 4). New Jersey: Prentice Hall.

Kravchenko, M., McAloone, T. C., & Pigosso, D. C. A. (2019). Implications of developing a tool for sustainability screening of circular economy initiatives. Procedia CIRP, 80, 625-630. http://dx.doi.org/10.1016/j.procir.2019.01.044.

Kristoffersen, E., Mikalef, P., Blomsma, F., & Li, J. (2021). The effects of business analytics capability on circular economy implementation, resource orchestration, capability and firm performance. International Journal of Production Economics, 239, 108205. http://dx.doi.org/10.1016/j.ijpe.2021.108205.

Kumar, S., & Barman, A. G. (2021). Fuzzy TOPSIS and fuzzy VIKOR in selecting green suppliers for sponge iron and steel manufacturing. Soft Computing, 25(8), 6505-6525. http://dx.doi.org/10.1007/s00500-021-05644-1.

Lahane, S., & Kant, R. (2021). Evaluation and ranking of solutions to mitigate circular supply chain risks. Sustainable Production and Consumption, 27, 753-773. https://doi.org/10.1016/j.spc.2021.01.034.

Lee, Y., Hu, J., & Lim, M. K. (2021). Maximising the circular economy and sustainability outcomes: an end-of-life tyre recycling outlets selection model. International Journal of Production Economics, 232, 107965. http://dx.doi.org/10.1016/j.ijpe.2020.107965.

Lima-Junior, F. R., Osiro, L., & Carpinetti, L. C. R. (2014). A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection. Applied Soft Computing, 21, 194-209. http://dx.doi.org/10.1016/j.asoc.2014.03.014.

Lüdeke-Freund, F., Gold, S., & Bocken, N. M. P. (2018). A review and typology of circular economy business model patterns: circular economy business models. Journal of Industrial Ecology. http://dx.doi.org/10.1111/jiec.12763.

Mahpour, A. (2018). Prioritizing barriers to adopt circular economy in construction and demolition waste management. Resources, Conservation and Recycling, 134, 216-227. http://dx.doi.org/10.1016/j.resconrec.2018.01.026.

Maliene, V., Dixon-Gough, R., & Malys, N. (2018). Dispersion of relative importance values contributes to the ranking uncertainty: Sensitivity analysis of Multiple Criteria Decision-Making methods. Applied Soft Computing, 67, 286-298. http://dx.doi.org/10.1016/j.asoc.2018.03.003.

Malviya, R. K., Kant, R., & Gupta, A. D. (2018). Evaluation and selection of sustainable strategy for green supply chain management implementation. Business Strategy and the Environment, 27(4), 475-502. http://dx.doi.org/10.1002/bse.2016.

Manninen, K., Koskela, S., Antikainen, R., Bocken, N., Dahlbo, H., & Aminoff, A. (2018). Do circular economy business models capture intended environmental value propositions? Journal of Cleaner Production, 171, 413-422. http://dx.doi.org/10.1016/j.jclepro.2017.10.003.

Milios, L. (2021). Overarching policy framework for product life extension in a circular economy—A bottom‐up business perspective. Environmental Policy and Governance, 31(4), 330-346. https://doi.org/10.1002/eet.1927.

Moktadir, M. A., Rahman, T., Rahman, M. H., Ali, S. M., & Paul, S. K. (2018). Drivers to sustainable manufacturing practices and circular economy: a perspective of leather industries in Bangladesh. Journal of Cleaner Production, 174, 1366-1380. http://dx.doi.org/10.1016/j.jclepro.2017.11.063.

Montanari, R., Micale, R., Bottani, E., Volpi, A., & La Scalia, G. (2021). Evaluation of routing policies using an interval-valued TOPSIS approach for the allocation rules. Computers & Industrial Engineering, 156, 107256. http://dx.doi.org/10.1016/j.cie.2021.107256.

Nădăban, S., Dzitac, S., & Dzitac, I. (2016). Fuzzy TOPSIS: a general view. Procedia Computer Science, 91, 823-831. http://dx.doi.org/10.1016/j.procs.2016.07.088.

Nag, U., Sharma, S. K., & Govindan, K. (2021). Investigating drivers of circular supply chain with product-service system in automotive firms of an emerging economy. Journal of Cleaner Production, 319, 128629. http://dx.doi.org/10.1016/j.jclepro.2021.128629.

Nara, E. O. B., Costa, M. B., Baierle, I. C., Schaefer, J. L., Benitez, G. B., Santos, L. M. A. L., & Benitez, L. B. (2021). Expected impact of industry 4.0 technologies on sustainable development: a study in the context of Brazil’s plastic industry. Sustainable Production and Consumption, 25, 102-122. http://dx.doi.org/10.1016/j.spc.2020.07.018.

Oghazi, P., & Mostaghel, R. (2018). Circular business model challenges and lessons learned—An industrial perspective. Sustainability, 10(3), 739. http://dx.doi.org/10.3390/su10030739.

Onat, N. C., Gumus, S., Kucukvar, M., & Tatari, O. (2016). Application of the TOPSIS and intuitionistic fuzzy set approaches for ranking the life cycle sustainability performance of alternative vehicle technologies. Sustainable Production and Consumption, 6, 12-25. http://dx.doi.org/10.1016/j.spc.2015.12.003.

Ortiz-Barrios, M., & Alfaro-Saiz, J. (2020). A hybrid fuzzy multi-criteria decision-making model to evaluate the overall performance of public emergency departments: A case study. International Journal of Information Technology & Decision Making, 19(6), 1485-1548. http://dx.doi.org/10.1142/S0219622020500364.

Ortiz-Barrios, M., Nugent, C., Cleland, I., Donnelly, M., & Verikas, A. (2020). Selecting the most suitable classification algorithm for supporting assistive technology adoption for people with dementia: a multicriteria framework. Journal of Multi-Criteria Decision Analysis, 27(1-2), 20-38. http://dx.doi.org/10.1002/mcda.1678.

Padilla-Rivera, A., do Carmo, B. B. T., Arcese, G., & Merveille, N. (2021). Social circular economy indicators: Selection through fuzzy delphi method. Sustainable Production and Consumption, 26, 101-110. http://dx.doi.org/10.1016/j.spc.2020.09.015.

Palczewski, K., & Sałabun, W. (2019). The fuzzy TOPSIS applications in the last decade. Procedia Computer Science, 159, 2294-2303. http://dx.doi.org/10.1016/j.procs.2019.09.404.

Pamucar, D., Deveci, M., Gokasar, I., Işık, M., & Zizovic, M. (2021). Circular economy concepts in urban mobility alternatives using integrated DIBR method and fuzzy Dombi CoCoSo model. Journal of Cleaner Production, 323, 129096. http://dx.doi.org/10.1016/j.jclepro.2021.129096.

Pieroni, M. P. P., McAloone, T. C., & Pigosso, D. C. A. (2019). Business model innovation for circular economy and sustainability: A review of approaches. Journal of Cleaner Production, 215, 198-216. http://dx.doi.org/10.1016/j.jclepro.2019.01.036.

Prosman, E. J., & Sacchi, R. (2018). New environmental supplier selection criteria for circular supply chains: Lessons from a consequential LCA study on waste recovery. Journal of Cleaner Production, 172, 2782-2792. http://dx.doi.org/10.1016/j.jclepro.2017.11.134.

Rabta, B. (2020). An Economic Order Quantity inventory model for a product with a circular economy indicator. Computers & Industrial Engineering, 140, 106215. http://dx.doi.org/10.1016/j.cie.2019.106215.

Raut, R., Cheikhrouhou, N., & Kharat, M. (2017). Sustainability in the banking industry: A strategic multi‐criterion analysis. Business Strategy and the Environment, 26(4), 550-568. http://dx.doi.org/10.1002/bse.1946.

Richardson, J. (2008). The business model: an integrative framework for strategy execution. Strategic Change, 17(5-6), 133-144. http://dx.doi.org/10.1002/jsc.821.

Rossi, E., Bertassini, A. C., Ferreira, C. S., Neves do Amaral, W. A., & Ometto, A. R. (2020). Circular economy indicators for organizations considering sustainability and business models: plastic, textile and electro-electronic cases. Journal of Cleaner Production, 247, 119137. http://dx.doi.org/10.1016/j.jclepro.2019.119137.

Saaty, T. L. (1980). The analytic hierarchy process. New York: McGraw Hill.

Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83-98. http://dx.doi.org/10.1504/IJSSCI.2008.017590.

Sassanelli, C., Rosa, P., Rocca, R., & Terzi, S. (2019). Circular economy performance assessment methods: a systematic literature review. Journal of Cleaner Production, 229, 440-453. http://dx.doi.org/10.1016/j.jclepro.2019.05.019.

Sehnem, S., Pandolfi, A., & Gomes, C. (2019). Is sustainability a driver of the circular economy?. Social Responsibility Journal, 16(3), 329-347. http://dx.doi.org/10.1108/SRJ-06-2018-0146.

Shahidzadeh, M. H., & Shokouhyar, S. (2022). Toward the closed-loop sustainability development model: a reverse logistics multi-criteria decision-making analysis. Environment, Development and Sustainability, 1-93. http://dx.doi.org/10.1007/s10668-022-02216-7.

Shete, P. C., Ansari, Z. N., & Kant, R. (2020). A pythagorean fuzzy AHP approach and its application to evaluate the enablers of sustainable supply chain innovation. Sustainable Production and Consumption, 23, 77-93. http://dx.doi.org/10.1016/j.spc.2020.05.001.

Shukla, A., Agarwal, P., Rana, R. S., & Purohit, R. (2017). Applications of TOPSIS algorithm on various manufacturing processes: a review. Materials Today: Proceedings, 4(4), 5320-5329.

Suchek, N., Fernandes, C. I., Kraus, S., Filser, M., & Sjögrén, H. (2021). Innovation and the circular economy: a systematic literature review. Business Strategy and the Environment, 30(8), 3686-3702. http://dx.doi.org/10.1002/bse.2834.

Sultana, I., Ahmed, I., & Azeem, A. (2015). An integrated approach for multiple criteria supplier selection combining Fuzzy Delphi, Fuzzy AHP & Fuzzy TOPSIS. Journal of Intelligent & Fuzzy Systems, 29(4), 1273-1287. http://dx.doi.org/10.3233/IFS-141216.

Tariq, H., Ali, Y., Khan, A. U., Petrillo, A., & De Felice, F. (2021). Sustainable production of diapers and their potential outputs for the Pakistani market in the circular economy perspective. The Science of the Total Environment, 769, 145084. http://dx.doi.org/10.1016/j.scitotenv.2021.145084. PMid:33486174.

Tavassoli, M., Saen, R. F., & Zanjirani, D. M. (2020). Assessing sustainability of suppliers: a novel stochastic-fuzzy DEA model. Sustainable Production and Consumption, 21, 78-91. https://doi.org/10.1016/j.spc.2019.11.001.

Torkabadi, A. M., Pourjavad, E., & Mayorga, R. V. (2018). An integrated fuzzy MCDM approach to improve sustainable consumption and production trends in supply chain. Sustainable Production and Consumption, 16, 99-109. http://dx.doi.org/10.1016/j.spc.2018.05.008.

Vegter, D., van Hillegersberg, J., & Olthaar, M. (2020). Supply chains in circular business models: Processes and performance objectives. Resources, Conservation and Recycling, 162, 105046. http://dx.doi.org/10.1016/j.resconrec.2020.105046.

Vieira, J. G. V., Toso, M. R., da Silva, J. E. A. R., & Ribeiro, P. C. C. (2017). An AHP-based framework for logistics operations in distribution centres. International Journal of Production Economics, 187, 246-259. http://dx.doi.org/10.1016/j.ijpe.2017.03.001.

Wan, S. P., Wang, Q. Y., & Dong, J. Y. (2013). The extended VIKOR method for multi-attribute group decision making with triangular intuitionistic fuzzy numbers. Knowledge-Based Systems, 52, 65-77. http://dx.doi.org/10.1016/j.knosys.2013.06.019.

Wang, Z., Ran, Y., Chen, Y., Yu, H., & Zhang, G. (2020). Failure mode and effects analysis using extended matter-element model and AHP. Computers & Industrial Engineering, 140, 106233. http://dx.doi.org/10.1016/j.cie.2019.106233.

Wanke, P., Pestana Barros, C., & Chen, Z. (2015). An analysis of Asian airlines efficiency with two-stage TOPSIS and MCMC generalized linear mixed models. International Journal of Production Economics, 169, 110-126. http://dx.doi.org/10.1016/j.ijpe.2015.07.028.

Yadav, S. K., Joseph, D., & Jigeesh, N. (2018). A review on industrial applications of TOPSIS approach. International Journal of Services and Operations Management, 30(1), 23-28. http://dx.doi.org/10.1504/IJSOM.2018.091438.

Zadeh, L.A. (1965). Fuzzy sets. Inf. Control, 8(3), 338-353.

Zanon, L. G., Munhoz Arantes, R. F., Calache, L. D. D. R., & Carpinetti, L. C. R. (2020). A decision making model based on fuzzy inference to predict the impact of SCOR® indicators on customer perceived value. International Journal of Production Economics, 223, 107520. http://dx.doi.org/10.1016/j.ijpe.2019.107520.

Zhao, H., Zhao, H., & Guo, S. (2017). Evaluating the comprehensive benefit of eco-industrial parks by employing multi-criteria decision making approach for circular economy. Journal of Cleaner Production, 142, 2262-2276. http://dx.doi.org/10.1016/j.jclepro.2016.11.041.

Zyoud, S. H., & Fuchs-Hanusch, D. (2017). A bibliometric-based survey on AHP and TOPSIS techniques. Expert Systems with Applications, 78, 158-181. http://dx.doi.org/10.1016/j.eswa.2017.02.016.
 


Submitted date:
03/04/2022

Accepted date:
06/06/2022

62bb0f73a953950acf13e232 production Articles
Links & Downloads

Production

Share this page
Page Sections