Modelling of green manufacturing barriers using a survey-integrated decision-making approach
DOI:
https://doi.org/10.31181/rme040117112023sKeywords:
Green Manufacturing, Barriers, FAHP, ISM, MICMAC, Sensitivity AnalysisAbstract
Green manufacturing (GM) barriers encompass challenges and obstacles that impede the seamless adoption and effective implementation of environmentally sustainable practices within the manufacturing industry. This paper is dedicated to identifying, analyzing, ranking, and modeling the primary barriers that hinder the integration of GM practices. The study meticulously identifies 11 barriers through an extensive literature review and expert opinions. These barriers are subsequently validated by gathering insights from 90 survey responses. To evaluate these challenges, the study employs a survey-based integrated decision-making model that synergizes Fuzzy Analytic Hierarchy Process (FAHP), Interpretive Structural Modeling (ISM), and Matrice d'Impacts Croisés Multiplication Appliquée à un Classement (MICMAC) methods. This model not only ranks the identified barriers but also delves into their intricate interrelationships. A sensitivity analysis is conducted to fortify the dependability of the findings. Among these obstacles, two stand out as the most prominent including “lack of research and development facilities” and “insufficient in-house knowledge on environmental issues”. This research represents a pioneering endeavor in its domain, shedding light on the vital realm of green manufacturing and its associated challenges.
References
Abdullah, M., Zailani, S., Iranmanesh, M., & Jayaraman, K. (2015). Barriers to green innovation initiatives among manufacturers: the Malaysian case. Review of Managerial Science. https://doi.org/10.1007/s11846-015-0173-9
Abualfaraa, W., Salonitis, K., Al-Ashaab, A., & Ala’raj, M. (2020). Lean-Green Manufacturing Practices and Their Link with Sustainability: A Critical Review. Sustainability, 12(3). MDPI AG. https://doi.org/10.3390/su12030981.
Agan, Y.; Acar, M.F.; Borodin, A. (2013) Drivers of environmental processes and their impact on performance:A study of Turkish SMEs. J. Clean. Prod, 51, 23–33.
Alayón C, K. Säfsten, & G. Johansson. (2017). “Conceptual sustainable production principles in practice: Do they reflect what companies do?.” J. Clean. Prod., 141, 693–701.
Almansoori, L, H.; Lafta, A, M.; Matrud, S, N.; Asghar, M, M.; and Haiyan, H. (2021) Green Manufacturing and Its Impact on Environmental Sustainability: A Case Study in the Kufa Cement Plant. Review of International Geographical Education (RIGEO), 11(4), 107-116.
Andaregie, A., & Astatkie, T. (2021). Determinants of the adoption of green manufacturing practices by medium- and large-scale manufacturing industries in northern Ethiopia. In African Journal of Science, Technology, Innovation and Development, 1–16. https://doi.org/10.1080/20421338.2021.1921898
Asif, M. S., Lau, H., Nakandala, D., Fan, Y., & Hurriyet, H. (2020). Adoption of green supply chain management practices through collaboration approach in developing countries – From literature review to conceptual framework. In Journal of Cleaner Production, 276, 124191. Elsevier BV. https://doi.org/10.1016/j.jclepro.2020.124191
Bai, C., Sarkis, J. and Dou, Y. (2015), “Corporate sustainability development in China: review and analysis”, Industrial Management and Data Systems, 115 (1), 5-40.
Bakhtari, A. R., Waris, M. M., Sanin, C., & Szczerbicki, E. (2021). Evaluating Industry 4.0 Implementation Challenges Using Interpretive Structural Modeling and Fuzzy Analytic Hierarchy Process. In Cybernetics and Systems, 52 (5), 350–378. Informa UK Limited. https://doi.org/10.1080/01969722.2020.1871226
Balasubramanian, S. (2012), “A hierarchical framework of barriers to green supply chain management in the construction sector”, Journal of Sustainable Development, 5(10), 15-27.
Basit, A., Scholz, M., Niazi, A. A. K., Qazi, T. F., Shaukat, M. Z., Rao, Z.-U.-R., & Mahmood, A. (2021). Structural modeling on the determinants of effectiveness of SOPs containing COVID-19 in mass gatherings. Frontiers in Psychology, 12, 755221. https://doi.org/10.3389/fpsyg.2021.755221
Belekar, A. M. (2017). Green manufacturing. International Research Journal of Engineering and Technology (IRJET), 4(7), 2667–2671.
Bengtsson, M., Alfredsson, E., Cohen, M., Lorek, S., & Schroeder, P. (2018). Transforming systems of consumption and production for achieving the sustainable development goals: moving beyond efficiency. In Sustainability Science, 13(6), 1533–1547. Springer Science and Business Media LLC. https://doi.org/10.1007/s11625-018-0582-1.
Beyene Z T (2015), “Green Supply Chain Management Practices in Ethiopian Tannery Industry: An Empirical Study”, International Research Journal of Engineering and Technology, 2(7), 587-598.
Creswell, J.W. (2009) Research Design: Qualitative, Quantitative, and Mixed Methods Approaches, 3rd ed., Sage Publications, Thousand Oaks, CA
D’Angelo, V., Cappa, F., & Peruffo, E. (2023). Green manufacturing for sustainable development: The positive effects of green activities, green investments, and non‐green products on economic performance. Business Strategy and the Environment, 32(4), 1900–1913. https://doi.org/10.1002/bse.3226.
Dağıstanlı, H. A. (2023). An Integrated Fuzzy MCDM and Trend Analysis Approach for Financial Performance Evaluation of Energy Companies in Borsa Istanbul Sustainability Index. Journal of Soft Computing and Decision Analytics, 1(1), 39-49. https://doi.org/10.31181/jscda1120233
Gandhi, N. S., Thanki, S. J., & Thakkar, J. J. (2018). Ranking of Drivers for Integrated Lean-Green Manufacturing for Indian Manufacturing SMEs Ranking of drivers for integrated lean-green manufacturing for Indian manufacturing SMEs. Journal of Cleaner Production, 171(October 2017), 675–689. https://doi.org/10.1016/j.jclepro.2017.10.041
Gandhi, S., Mangla, S. K., Kumar, P., & Kumar, D. (2015). Evaluating factors in implementation of successful green supply chain management using DEMATEL: A case study. In International Strategic Management Review, 3(1), 96–109. Elsevier BV. https://doi.org/10.1016/j.ism.2015.05.001.
Ghazilla, R.A.R., Sakundarini, N., Abdul-Rashid, S.H., Ayub, N.S., Olugu, E.U. and Musa, S.N. (2015), “Drivers and barriers analysis for green manufacturing practices in Malaysian SMEs: a preliminary findings”, Procedia Cirp, 26, 658-663.
Govindan, K.; Diabat, A.; Shankar, K.M. (2015) Analyzing the drivers of green manufacturing with fuzzy approach. J. Clean. Prod. 96, 182–193.
Gunasekaran, A., and A. Spalanzani. (2012). “Sustainability of Manufacturing and Services: Investigations for Research and Applications.” International Journal of Production Economics 140 (1), 35–47.
Gupta, A. K., & Goyal, H. (2021). Framework for implementing big data analytics in Indian manufacturing: ISM-MICMAC and Fuzzy-AHP approach. In Information Technology and Management (Vol. 22, Issue 3, pp. 207–229). Springer Science and Business Media LLC. https://doi.org/10.1007/s10799-021-00333-9
Jabbour, C. J. C. (2013). “Environmental Training in Organisations: From a Literature Review to a Framework for Future Research.” Resources, Conservation and Recycling, 74, 144–155.
Jadhav, J.R., Mantha, S.S., Rane, S.B., (2014). Exploring barriers in lean implementation. Inter. J. Lean Six Sigma 5 (2), 122-148.
Jagtap, M., & Karande, P. (2023). The m-polar fuzzy set ELECTRE-I with revised Simos’ and AHP weight calculation methods for selection of non-traditional machining processes. Decision Making: Applications in Management and Engineering, 6(1), 240–281. https://doi.org/10.31181/dmame060129022023j
Jiang, X., Wang, H., Guo, X., & Gong, X. (2019). Using the FAHP, ISM, and MICMAC Approaches to Study the Sustainability Influencing Factors of the Last Mile Delivery of Rural E-Commerce Logistics. In Sustainability, 11(14), 3937. MDPI AG. https://doi.org/10.3390/su11143937
Karuppiah, K., Sankaranarayanan, B., Ali, S. M., Chowdhury, P., & Paul, S. K. (2020). An integrated approach to modeling the barriers in implementing green manufacturing practices in SMEs. In Journal of Cleaner Production, 265, 121737. Elsevier BV. https://doi.org/10.1016/j.jclepro.2020.121737
Kaur, J., Sidhu, R., Awasthi, A., Chauhan, S., & Goyal, S. (2017). A DEMATEL based approach for investigating barriers in green supply chain management in Canadian manufacturing firms. In International Journal of Production Research, 56(1), 312–332. Informa UK Limited. https://doi.org/10.1080/00207543.2017.1395522.
Kumar, V., & Singh, K. (2014). Prioritizing Barriers to Green Manufacturing : Environmental, Social and Economic Perspectives. Procedia CIRP, 17, 559–564. https://doi.org/10.1016/j. procir.2014.01.075
Kushwaha, D., & Talib, F. (2020). Ranking of Barriers to Green Manufacturing Implementation in SMEs Using Best-Worst Method. In IOP Conference Series: Materials Science and Engineering, 748(1), p. 012017. IOP Publishing. https://doi.org/10.1088/1757-899x/748/1/012017.
Li, T., Liang, L., & Han, D. (2018). Research on the Efficiency of Green Technology Innovation in China’s Provincial High-End Manufacturing Industry Based on the RAGA-PP-SFA Model. In Mathematical Problems in Engineering, 2018, 1–13. Hindawi Limited. https://doi.org/10.1155/2018/9463707.
Li, Z., Liao, G., Wang, Z., & Huang, Z. (2018). Green loan and subsidy for promoting clean production innovation. In Journal of Cleaner Production, 187, 421–431. Elsevier BV. https://doi.org/10.1016/j.jclepro.2018.03.066.
Lin, G., & Hao, B. (2020). Research on green manufacturing technology. In Journal of Physics: Conference Serie, 1601(4), 042046. IOP Publishing. https://doi.org/10.1088/1742-6596/1601/4/042046
Lun, Y. H. (2011). “Green Management Practices and Firm Performance: A Case of Container Terminal Operations.” Resources, Conservation and Recycling 55 (6), 559–566.
Luthra, S., Kumar, V., Kumar, S., & Haleem, A. (2011). Barriers to implement green supply chain management in automobile industry using interpretive structural modeling technique: An Indian perspective. Journal of Industrial Engineering and Management, 4(2). https://doi.org/10.3926/jiem.2011.v4n2.p231-257.
Mangla, S. K., Kumar, P., & Barua, M. K. (2015). Prioritizing the responses to manage risks in green supply chain: An Indian plastic manufacturer perspective. In Sustainable Production and Consumption, 1, 67–86. Elsevier BV. https://doi.org/10.1016/j.spc.2015.05.002
Manhart, A., Vogt, R., Priester, M., Dehoust, G., Auberger, A., Blepp, M., Dolega, P., Kämper, C., Giegrich, J., Schmidt, G., & Kosmol, J. (2018). The environmental criticality of primary raw materials – A new methodology to assess global environmental hazard potentials of minerals and metals from mining. In Mineral Economics, 32(1), 91–107. Springer Science and Business Media LLC. https://doi.org/10.1007/s13563-018-0160-0.
Mendoza-fong, J. R., Luis, J., Roberto, D., Jim, E., & Blanco-fern, J. (2019). The Role of Green Attributes in Production Processes as Well as Their Impact on Operational , Commercial , and Economic Benefits. Sustainability, 11. https://doi.org/10.3390/su11051294
Menon, R. R., & Ravi, V. (2021). Analysis of barriers of sustainable supply chain management in electronics industry: An interpretive structural modelling approach. In Cleaner and Responsible Consumption, 3, . 100026. Elsevier BV. https://doi.org/10.1016/j.clrc.2021.100026.
Micheli, G. J., L. E. Cagno, G. Mustillo, & A. Trianni. (2020). “Green Supply Chain Management Drivers, Practices and Performance: A Comprehensive Study on the Moderators.” Journal of Cleaner Production, 121024. https://doi.org/10.1016/j.jclepro.2020.121024.
Mishra, Ashutosh. (2015). A Review On Green And Sustainable Manufacturing & Their Impact on Social, Economical, Environmental Prospects. Global Research Journal of Engineering & Technology. 1. 16-20.
Mittal VK, Sangwan KS (2015) Prioritizing drivers for green manufacturing: environmental, social and economic perspectives. Proc CIRP 15:135–140
Mittal, V. K., & Sangwan, K. S. (2014). Prioritizing Barriers to Green Manufacturing: Environmental, Social and Economic Perspectives. In Procedia CIRP, 17, 559–564. Elsevier BV. https://doi.org/10.1016/j.procir.2014.01.075.
Mittal, V. K., Egede, P., Herrmann, C., & Sangwan, K. S. (2013). Comparison of Drivers and Barriers to Green Manufacturing : A Case of India and Germany, 3–4. https://doi.org/ 10.1007/978-981-4451-48-2_118
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. J. Clean. Prod., 174, 1366–1380
National Planning Commission. (2016). Growth and Transformation Plan II (GTP II), (2015/16-2019/20): Volume-I: Main Text. Addis Ababa: National Planning Commission of the Federal Democratic Republic of Ethiopia.
New business Ethiopia news, & Behak. (2021, June 24). Erecting environmentally friendly manufacturing industries for healthy economic growth. New Business Ethiopia. Retrieved October 21, 2021, from https://newbusinessethiopia.com/environment/erecting-environmentally-friendly-manufacturing-industries-for-healthy-economic-growth/.
Nezhad, M. Z. ., Nazarian-Jashnabadi , J. ., Rezazadeh, J. ., Mehraeen, M. ., & Bagheri, R. . (2023). Assessing Dimensions Influencing IoT Implementation Readiness in Industries: A Fuzzy DEMATEL and Fuzzy AHP Analysis. Journal of Soft Computing and Decision Analytics, 1(1), 102-123. https://doi.org/10.31181/jscda11202312
Nezhad, M. Z., Nazarian-Jashnabadi, J., Rezazadeh, J., Mehraeen, M., & Bagheri, R. (2023). Assessing Dimensions Influencing IoT Implementation Readiness in Industries: A Fuzzy DEMATEL and Fuzzy AHP Analysis. In Journal of Soft Computing and Decision Analytics (Vol. 1, Issue 1, pp. 102–123). https://doi.org/10.31181/jscda11202312
Niemann, W. T. K. F. A. (2016). Drivers and barriers of green supply chain management implementation in the Mozambican manufacturing industry. Journal of Contemporary Management Volume 13 Drivers, 13, 977–1013.
Nimawat, D. and Namdev, V. (2012), “An overview of green supply chain management in India”, Research Journal of Recent Sciences, 1(6), 77-82.
Ninlawan, C., Seksan, P., Tossapol, K., and Pilada, W., (2010). The Implementation of Green Supply Chain Management Practices in Electronic Industry. International multi Conference of Engineers and Computer Scientists, 3, ISBN: 978-988-18210-5-8.
Oqubay, A. (2018). ‘The Structure and Performance of the Ethiopian Manufacturing Sector’. In F. Cheru, C. Cramer, and A. Oqubay (eds), The Oxford Handbook of the Ethiopian Economy. Oxford University Press. https://doi.org/10.1093/oxfordhb/9780198814986.013.48
Pamucar, D., & Biswas, S. (2023). A Novel Hybrid Decision Making Framework for Comparing Market Performance of Metaverse Crypto Assets. Decision Making Advances, 1(1), 49–62. https://doi.org/10.31181/dma1120238
Pamuèar D and Cirovic G (2015), “The Selection of Transport and Handling Resources in Logistics Centers Using Multi-Attributive Border Approximation Area Comparison (MABAC)” Expert Systems with Applications, 42(6), 3016-3028.
Pathak, S. K., Karwasra, K., Sharma, V., & Sharma, V. (2021). Analysis of Barriers to Green Manufacturing Using Hybrid Approach: An Investigatory Case Study on Indian Automotive Industry. Process Integration and Optimization for Sustainability. 5(3), 545–560.
Paul, I. D., Bhole, G. P., & Chaudhari, J. R. (2014). A Review on Green Manufacturing: It’s Important, Methodology and its Application. In Procedia Materials Science, 6,1644–1649). Elsevier BV. https://doi.org/10.1016/j.mspro.2014.07.149.
Prabhakar, V., Sagar, A., & Singh, R. (2021). A comprehensive method for modelling leanness enablers and measuring leanness index in MSMEs using an integrated AHP-ISM-MICMAC and multi-grade fuzzy approach. International Journal of Six Sigma and Competitive Advantage, 13(1-3), 377-391.
Prakash C, Barua MK (2016) A combined MCDM approach for evaluation and selection of third-party reverse logistics partner for Indian electronics industry. Sustain Prod Consum 7,66–78. https ://doi. org/10.1016/j.spc.2016.04.001
Radovanovic, M., Petrovski, A., Behlić, A., Perišić, M., Samopjan, M., & Lakanović, B. (2023). Application model of MCDM for selection of automatic rifle. Journal of Decision Analytics and Intelligent Computing, 3(1), 185–196. https://doi.org/10.31181/jdaic10011102023r
Rehman M A, D. Seth, & R. L. Shrivastava. (2016). “Impact of green manufacturing practices on organisational performance in Indian context: An empirical study.” J. Clean. Prod., 37, 427–448.
Rodriguez JA, Wiengarten F. (2017). The role of process innovativeness in the development of environmental innovativeness capability. Journal of Cleaner Production, 142, 2423-2434.
Rosen, M. A., & Kishawy, H. A. (2012). Sustainable Manufacturing and Design: Concepts, Practices and Needs. In Sustainability 4(2),154–174). MDPI AG. https://doi.org/10.3390/su4020154.
Roy, M., & Khastagir, D. (2016). Exploring role of green management in enhancing organisational efficiency in petro-chemical industry in India. Journal of CleanerProduction, 121, 109-115.
Saaty TL (1980) The analytic hierarchy process. McGraw-Hill, New York
Sage A (1977) Interpretive structural modeling: methodology for large-scale systems. McGraw-Hill, New York
Sahoo, S. K., & Goswami, S. S. (2023). A Comprehensive Review of Multiple Criteria Decision-Making (MCDM) Methods: Advancements, Applications, and Future Directions. Decision Making Advances, 1(1), 25–48. https://doi.org/10.31181/dma1120237
Sangwan, K. S., & Choudhary, K. (2018). Benchmarking manufacturing industries based on green practices. Benchmarking: An International Journal, 25(6), 1746-1761.
Sangwan, K. S., & Mittal, V. K. (2015). A bibliometric analysis of green manufacturing and similar frameworks. Management of Environmental Quality: An International Journal, 26(4), 566–587. https://doi.org/10.1108/MEQ-02-2014-0020
Santolaria, M.; Oliver-Solà, J.; Gasol, C.M.; Morales-Pinzón, T.; Rieradevall, (2011) J. Eco-design in innovation driven companies: Perception, predictions and the main drivers of integration. The Spanish example. J. Clean. Prod. 19, 1315–1323.
Sarkis, J., and A. Rasheed. (1995). “Greening the Manufacturing Function.” Business Horizons 38, 17–27.
Sezen, B. and Cankaya, S.Y. (2013), “Effects of green manufacturing and eco-innovation on sustainability performance”, Procedia-Social and Behavioral Sciences, 99, 154-163.
Sharma, V., & Gidwani, B. (2021). Cellular manufacturing system practices in manufacturing industries: A pilot study. In International Journal of Indian Culture and Business Management . Inderscience Publishers. https://doi.org/10.1504/ijicbm.2021.10040260
Sharma, V., Gidwani, B. D., Sharma, V., & Meena, M. L. (2021). Modeling the interactions among critical criteria of a cellular manufacturing system. IEEE Engineering Management Review, 49(1), 148–164. https://doi.org/10.1109/emr.2020.3042801
Sharma, V., Gidwani, B. D., Sharma, V., & Meena, M. L. (2022). Causal Relationship among Critical Factors for Cellular Manufacturing System Using DEMATEL Approach. In International Journal of Business and Systems Research. Inderscience Publishers. https://doi.org/10.1504/ijbsr.2022.10042461
Sharma, V., Kumar, S., & Meena, M. L. (2021). Key criteria influencing cellular manufacturing system: a fuzzy AHP model. In Journal of Business Economics , 92(1), 65–84. Springer Science and Business Media LLC. https://doi.org/10.1007/s11573-021-01043-y
Sharma, V., Sharma, V., & Karwasra, K. (2021). A decision framework for green manufacturing indicators using fuzzy AHP - ELECTRE I: a case study of the steering system manufacturer. In International Journal of Sustainable Engineering 14(6), 1332–1341. Informa UK Limited. https://doi.org/10.1080/19397038.2021.1970272
Singh, C., Singh, D., & Khamba, J. S. (2020). Analyzing barriers of Green Lean practices in manufacturing industries by DEMATEL approach. In Journal of Manufacturing Technology Management, 32(1), 176–198. Emerald. https://doi.org/10.1108/jmtm-02-2020-0053
Singh, M. K., Kumar, H., Gupta, M. P., & Madaan, J. (2018). Competitiveness of Electronics manufacturing industry in India: an ISM–fuzzy MICMAC and AHP approach. In Measuring Business Excellence 22(1), 88–116. Emerald. https://doi.org/10.1108/mbe-12-2016-0063
Singh, R. K., & Agrawal, S. (2018). Analyzing disposition strategies in reverse supply chains: fuzzy TOPSIS approach. Management of Environmental Quality: An International Journal, 29(3), 427-443.
Sivaprakasam, P., & Angamuthu, M. (2023). Generalized Z-fuzzy soft β-covering based rough matrices and its application to MAGDM problem based on AHP method. Decision Making: Applications in Management and Engineering, 6(1), 134–152. https://doi.org/10.31181/dmame04012023p
Söderholm, P. (2020). The green economy transition: the challenges of technological change for sustainability. In Sustainable Earth, 3(1). Springer Science and Business Media LLC. https://doi.org/10.1186/s42055-020-00029-y.
Thanki S, K. Govindan, & J. Thakkar. (2016). “An investigation on lean-green implementation practices in Indian SMEs using analytical hierarchy process (AHP) approach.” J. Clean. Prod., 135, 284–298.
Tumaini, J. W. (2021). Towards Industrialisation in Tanzania: Drivers and Barriers to Green Manufacturing. European Journal of Economics, 1(1), 41-50. https://doi.org/10.33422/eje. v1i1.7
Wakeford, J. J., Gebreeyesus, M., Ginbo, T., Yimer, K., Manzambi, O., Okereke, C., ... Mulugetta, Y. (2017). Innovation for green industrialisation: An empirical assessment of innovation in Ethiopia’s cement, leather and textile sectors. Journal of Cleaner Production, 166, 503–511.
Wang, D., Si, R., & Fahad, S. (2023). Evaluating the small and medium sized enterprises motivating factors and influencing barriers about adoption of green practices. Environment Development and Sustainability, 25(4), 3029–3041. https://doi.org/10.1007/s10668-022-02166-0.
Yi, H. (2014), Green businesses in a clean energy economy: Analyzing drivers of green business growth in U.S. states. Energy 68, 922–929
Yong, Bashir, Ng, Sethupathi, Lim, & Show. (2019). Sustainable Waste-to-Energy Development in Malaysia: Appraisal of Environmental, Financial, and Public Issues Related with Energy Recovery from Municipal Solid Waste. In Processes, 7(10), 676. MDPI AG. https://doi.org/10.3390/pr7100676
Younis Al-Zibaree, H. K. ., & Konur, M. . (2023). Fuzzy Analytic Hierarchal Process for Sustainable Public Transport System. Journal of Operations Intelligence, 1(1), 1-10. https://doi.org/10.31181/jopi1120234
Zeng, S. X., H. Lin, H. Y. Ma, G. Y. Qi, and V. W. Tam. (2014). “Can Political Capital Drive Corporate Green Innovation? Lessons from China.” Journal of Cleaner Production 64, 63–72.
Zhu, J., Lu, Y., Song, Z., Shao, X., & Yue, X.-G. (2023). The choice of green manufacturing modes under carbon tax and carbon quota. Journal of Cleaner Production, 384(135336), 135336. https://doi.org/10.1016/j.jclepro.2022.135336
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