Selection of Eco-Friendly Suppliers for Reusable Masks: An Application with the Entropy-Based TOPSIS Method

Yıl 2024, Cilt: 8 Sayı: 2, 563 - 575, 31.05.2024

Hazal Ezgi Özbek , Suzan Oğuz

https://doi.org/10.29023/alanyaakademik.1406618

Cited By: 1

Öz

With the growing adoption of sustainable products, the process of choosing suppliers becomes increasingly crucial for businesses. These products reduce the waste of natural resources and cause less harm to the environment. With the use of masks and increasing environmental awareness, people have begun to consider environmental factors when choosing masks and many other products. As a result, studies that consider environmental factors instead of the traditional supplier selection procedure are attracting more and more attention in the literature. The aim of this study is to select a mask supplier for a business that sells environmentally friendly products with Multi-Criteria Decision Making (MCDM) methods. In this direction, it is aimed to reach the most suitable solution for selection by using the Entropy-based TOPSIS method, one of the MCDM methods. Based on the literature, 4 criteria and 6 alternative suppliers taking into account these criteria were determined to make the selection. First of all, the criteria handled by the Entropy method were weighted, and then a ranking was made among the mask suppliers using the TOPSIS method. The findings of the study show that the most important criterion among the discussed criteria is “Reusability” (K1). After the ranking, it was concluded that the most suitable mask supplier among the alternatives was "Supplier 2" (T2). Evaluating these criteria in the mask supplier selection process helps businesses create a safer, more efficient and sustainable supply chain. Making more conscious and correct decisions in the selection process also contributes to increasing customer satisfaction and business reputation.

Anahtar Kelimeler

Sustainability, Environmentally Friendly Products, Mask, Multi-Criteria Decision Making, MCDM

Yeniden Kullanılabilir Maskeler için Çevre Dostu Tedarikçi Seçimi: Entropi Tabanlı TOPSIS Yöntemi ile Bir Uygulama

Öz

Sürdürülebilir ürünlerin kullanımı arttıkça işletmeler için tedarikçi seçimi daha önemli hale gelmektedir. Bu ürünler doğal kaynakların israfını azaltmakta ve çevreye daha az zarar vermektedir. Maske kullanımı ve çevre bilincinin artmasıyla birlikte insanlar maske ve diğer birçok ürünü seçerken çevresel faktörleri dikkate almaya başlamıştır. Bunun sonucunda geleneksel tedarikçi seçim prosedürü yerine çevresel faktörleri dikkate alan çalışmalar literatürde giderek daha çok ilgi görmektedir. Bu çalışmanın amacı, çevre dostu ürünler satan bir işletme için Çok Kriterli Karar Verme (ÇKKV) yöntemleri ile bir maske tedarikçisi seçmektir. Bu doğrultuda ÇKKV yöntemlerinden Entropi tabanlı TOPSIS yöntemi kullanılarak seçim için en uygun çözüme ulaşmak hedeflenmiştir. Seçim yapmak üzere literatürden yola çıkılarak 4 kriter ve bu kriterleri dikkate alan 6 alternatif tedarikçi belirlenmiştir. Öncelikle Entropi yöntemi ile ele alınan kriterler ağırlıklandırılmış daha sonrasında TOPSIS yöntemi kullanılarak maske tedarikçileri arasında sıralama yapılmıştır. Çalışmanın bulguları, ele alınan kriterler arasında en önemli kriterin “Yeniden Kullanılabilirlik” (K1) olduğunu göstermektedir. Sıralama sonrası alternatifler arasında en uygun maske tedarikçisinin ise “Tedarikçi 2” (T2) olduğu sonucuna ulaşılmıştır. Maske tedarikçisi seçim sürecinde bu kriterlerin değerlendirilmesi, işletmelerin daha güvenli, daha verimli ve sürdürülebilir bir tedarik zinciri oluşturmasına yardımcı olmaktadır. Seçim sürecinde daha bilinçli ve doğru kararlar alınması müşteri memnuniyetinin ve işletme itibarının artmasına da katkı sağlamaktadır.

Anahtar Kelimeler

Sürdürülebilirlik, Çevre Dostu Ürünler, Maske, Çok Kriterli Karar Verme, ÇKKV

Kaynakça

• Ajaj, R., Al Dweik, R., Syed Ali, S.A., & Stietiya, M.H. (2023). Understanding the environmental impacts of facemasks: a review on the facemask industry and existing life cycle assessment studies. Sustainable Environment Research, 33(1), 1-19.
• Athawale, V.M., Mukherjee, P., & Chakraborty, S. (2009). Supplier selection using multi-criteria decision-making methods. IUP Journal of Operations Management, 8, 41-60.
• Aydin, S., & Köksalmiş, E. (2021). Antivirus mask selection under spherical fuzzy information, Sakarya University Journal of Science, 25(4), 1037-1048.
• Banadkouki, M.R.Z. (2023). Selection of strategies to improve energy efficiency in industry: A hybrid approach using entropy weight method and fuzzy TOPSIS. Energy, 279, 128070.
• Banaeian, N., Mobli, H., Nielsen, I.E., & Omid, M. (2015). Criteria definition and approaches in green supplier selection–a case study for raw material and packaging of food industry. Production & Manufacturing Research, 3(1), 149-168.
• Boroushaki, S. (2017). Entropy-based weights for multicriteria spatial decision-making. Yearbook of the Association of Pacific Coast Geographers, 79, 168-187.
• Brainard, J., Jones, N.R., Lake, I.R., Hooper, L., & Hunter, P.R. (2020). Community use of face masks and similar barriers to prevent respiratory illness such as COVID-19: a rapid scoping review. Eurosurveillance, 25(49), 1-14.
• Chen, P. (2019). Effects of normalization on the entropy-based TOPSIS method. Expert Systems with Applications, 136, 33-41.
• Cloet, A., Griffin, L., Yu, M., & Durfee, W. (2022). Design considerations for protective mask development: A remote mask usability evaluation. Applied Ergonomics, 102, 1-11.
• Cui, X., Jung, H., Lee, W., Kim, S.H., Yun, R.Y., Kim, S.Y., & Huh, S. (2022). Ergonomics and personalization of noninvasive ventilation masks. Respiratory Care, 67(1), 87-101.
• Çakir, S., & Perçin, S. (2013). Çok kriterli karar verme teknikleriyle lojistik firmalarinda performans ölçümü. Ege Akademik Bakis, 13(4), 449-460.
• Dhurkari, R.K. (2022). MCDM methods: Practical difficulties and future directions for improvement. RAIRO-Operations Research, 56(4), 2221-2233.
• Durmaz, E.D., & Gölcük, İ. (2023). Entropi tabanlı TOPSIS-Sort ile iş güvenliği risklerinin sınıflandırılması. Journal of Turkish Operations Management, 7(1), 1550-1563.
• Ecemiş, O., & Yaykaşlı, M., (2018). Çok kriterli karar verme yöntemleriyle sürdürülebilir tedarikçi seçimi ve bir uygulama. Akademik Sosyal Araştırmalar Dergisi, 6(83), 382-399.
• García-Cascales, M.S., & Lamata, M.T. (2012). On rank reversal and TOPSIS method. Mathematical and computer modelling, 56(5-6), 123-132.
• Ghafoori, M., & Abdallah, M. (2024). Multi-criteria decision support model for material and supplier selection in the construction industry. International Journal of Construction Management, 1-10.
• Gupta, S., Soni, U., & Kumar, G. (2019). Green supplier selection using multi-criterion decision making under fuzzy environment: A case study in automotive industry. Computers & Industrial Engineering, 136, 663-680.
• Hartanto, B.W., & Mayasari, D.S. (2021). Environmentally friendly non-medical mask: An attempt to reduce the environmental impact from used masks during COVID 19 pandemic. Science of the Total Environment, 760. 1-8.
• Hartanto, B.W., & Triastianti, R.D. (2022). Eco-friendly masks preferences during COVID-19 pandemic in Indonesia. Cleaner and Responsible Consumption, 4, 1-11.
• Hunt, M.G., Chiarodit, D., Tieu, T., & Baum, J. (2022). Using core values and social influence to increase mask-wearing in non-compliant college students. Social Science & Medicine, 314, 115446.
• Karami, A., & Johansson, R. (2013). Utilization of multi attribute decision making techniques to integrate automatic and manual ranking of options. Journal of information science and engineering, 30(2), 519-534.
• Kumar, S., Kumar, S., & Barman, A.G. (2018). Supplier selection using fuzzy TOPSIS multi criteria model for a small scale steel manufacturing unit. Procedia computer science, 133, 905-912.
• Kurian, B.P., Daniel, S., Ghosh, S., Paul, P., Reddy, M.A., Das, L., ..., & Roy, A.D. (2021). The Need of Understanding the Importance and Use of Face Masks. Journal of Current Medical Research and Opinion, 4(02), 762-772.
• Lee, K.P., Yip, J., Kan, C.W., Chiou, J.C., & Yung, K.F. (2020). Reusable face masks as alternative for disposable medical masks: factors that affect their wear-comfort. International Journal of Environmental Research and Public Health, 17(18), 6623.
• MacIntyre, C.R., & Chughtai, A.A. (2015). Facemasks for the prevention of infection in healthcare and community settings. BMJ, 350, 1-12.
• Nurprihatin, F., Antonius, R., Rembulan, G.D., Djajasoepena, R., & Sulistyo, E. (2023). Analytical hierarchy process and TOPSIS approach to perform supplier selection in construction industry. JIEMS (Journal of Industrial Engineering and Management Systems), 15(2), 130-138.
• Oğuz, S. (2023). Evaluation of customs, infrastructure and logistics services with multi-criteria decision-making methods: A comparative analysis for the top 10 countries in the Logistics Performance Index, Journal of Management Marketing and Logistics, 10(4), 167-178.
• Okumura, S., Sakaguchi, Y., Hatanaka, Y., & Ogohara, K. (2017). Effect of a reusable unit's physical life distribution on reuse efficiency in environmentally conscious products. Procedia CIRP, 61, 161-165.
• Özgüner, Z. (2020). Dış kaynak kullanımı kapsamında entegre entropi-TOPSIS yöntemleri ile tedarikçi seçimi probleminin çözümlenmesi. İşletme Araştırmaları Dergisi, 12(2), 1109-1120.
• Parthiban, P., Zubar, H.A., & Garge, C.P. (2012). A multi criteria decision making approach for suppliers selection. Procedia Engineering, 38, 2312-2328.
• Pekkaya, M., & Aslan, B. (2018). OSB yer seçiminde dikkate alınan kriterler arası etkileşimin ve kriter önem derecelerinin belirlenmesi. International Journal of Economic and Administrative Studies, 18, 293-308.
• Petrović, N., Živanović, T., & Mihajlović, J. (2023). Evaluating the annual operational efficiency of passenger and freight road transport in Serbia through entropy and TOPSIS methods. Journal of Engineering Management and Systems Engineering, 2(4), 204-211.
• Rab, S., Javaid, M., Haleem, A., & Vaishya, R. (2020). Face masks are new normal after COVID-19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(6), 1617-1619.
• Sangkham, S. (2020). Face mask and medical waste disposal during the novel COVID-19 pandemic in Asia. Case Studies in Chemical and Environmental Engineering, 2, 1-9.
• Sarıçam, C., & Yilmaz, S.M. (2022). An integrated framework for supplier selection and performance evaluation for apparel retail industry. Textile Research Journal, 92(17-18), 2947-2965.
• Sarraf, A.Z., Mohaghar, A., & Bazargani, H. (2013). Developing TOPSIS method using statistical normalization for selecting knowledge management strategies. Journal of Industrial Engineering and Management, 6(4), 860-875.
• Savaşkan, A.G., Deste, M., & Ekinci, Ş. (2021). Kuru kayısı sektöründeki işletmelerde bulanık TOPSİS ile tedarikçi seçimi. Sakarya İktisat Dergisi, 10(4), 449-466.
• Sukmawati, M., & Setiawan, A.D. (2022). A conceptual model of green supplier selection in the manufacturing ındustry using AHP and TOPSIS methods, 7th International Conference on Business and Industrial Research (ICBIR 2022), Bangkok, Tayland, 659-664.
• Supçiller, A.A., & Deligöz, K. (2018). Tedarikçi seçimi probleminin çok kriterli karar verme yöntemleriyle uzlaşik çözümü. Uluslararası İktisadi ve İdari İncelemeler Dergisi, 11(18), 355-368.
• Tan, Y., Yu, T., Lin, R., & Yan, H. (2023, February). Raw material supplier selection model based on entropy weight method and TOPSIS method. In Proceedings of the 4th International Conference on Economic Management and Model Engineering (ICEMME 2022), November 18-20, 2022, Nanjing, China.
• Tcharkhtchi, A., Abbasnezhad, N., Seydani, M.Z., Zirak, N., Farzaneh, S., & Shirinbayan, M. (2021). An overview of filtration efficiency through the masks: Mechanisms of the aerosols penetration. Bioactive Materials, 6(1), 106-122.
• Tosun, Ö. (2017). Tedarikçi değerlendirmede stokastik bir karar verme yaklaşımı: stokastik çok kriterli kabul edilebilirlik analizi. Verimlilik Dergisi, (4), 111-121.
• Trung, D.D., & Thinh, H.X. (2021). A multi-criteria decision-making in turning process using the MAIRCA, EAMR, MARCOS and TOPSIS methods: A comparative study. Advances in Production Engineering & Management, 16(4), 443-456.
• Tso, R.V., & Cowling, B.J. (2020). Importance of face masks for COVID-19: A call for effective public education. Clinical Infectious Diseases, 71(16), 2195-2198.
• Verma, M., Prem, P.R., Ren, P., Liao, H., & Xu, Z. (2022). Green supplier selection with a multiple criteria decision-making method based on thermodynamic features. Environment, Development and Sustainability, 1-33.
• Wang, A.B., Zhang, X., Gao, L.J., Zhang, T., Xu, H.J., & Bi, Y.J. (2023). A review of filtration performance of protective masks. International journal of environmental research and public health, 20(3), 1-23.
• Weaver, G.H. (1918). The value of the face mask and other measures: in preventıon of diphtherıa, meningitis, pneumonia, etc. Journal of the American Medical Association, 70(2), 76-78.
• Wei, Q., & Zhou, C. (2022). A multi-criteria decision-making framework for electric vehicle supplier selection of government agencies and public bodies in China. Environmental Science and Pollution Research, 1-20.
• Wu, Z., Sun, J., Liang, L., & Zha, Y. (2011). Determination of weights for ultimate cross efficiency using shannon entropy. Expert Systems with Applications, 38, 5162-5165.
• Yousefi, A., & Hadi-Vencheh, A. (2010). An integrated group decision making model and its evaluation by DEA for automobile industry. Expert Systems with Applications, 37(12), 8543-8556.
• Zhang, H., Gu, C.L., Gu, L.W., & Zhang, Y. (2011), the evaluation of tourism destination competitiveness by TOPSIS &ınformation entropy–a case in the YANGTZE RİVER DELTA OF CHİNA. Tourism Management, 32(2), 443-451.
• Zou, Z.H., Yi, Y., & Sun, J.N. (2006). Entropy method for determination of weight of evaluating indicators in fuzzy synthetic evaluation for water quality assessment. Journal of Environmental sciences, 18(5), 1020-1023.
• Zulqarnain, R.M., Siddique, I., Jarad, F., Ali, R., & Abdeljawad, T. (2021). Development of TOPSIS technique under pythagorean fuzzy hypersoft environment based on correlation coefficient and its application towards the selection of antivirus mask in COVID-19 pandemic. Complexity, 1-27.