{"title":"一个混合框架,用于确定解决方案的优先级,以减轻工业5.0中的可持续供应链障碍","authors":"Md Kamruzzaman, Anup Karmakar, Md.Golam Kibria","doi":"10.1016/j.clscn.2025.100268","DOIUrl":null,"url":null,"abstract":"<div><div>Industry 5.0 is a potential framework that aims to envision the most advanced industrial, transportation, energy-efficient, and sustainable supply chain (SSC) of the future. Industry 5.0 and SSC are essential ideas that are revolutionizing the operational strategies of enterprises in the modern day. Concurrently, these two principles propel the development of a very sustainable and resilient global economy. Contemporary organizations are increasingly adopting sustainable practices in the supply chain by using technology such as blockchain, artificial intelligence (AI), and collaborative robots (co-bots) to trace the source of products, guarantee ethical and sustainable sourcing and procurement, and efficiently and securely collaborate with humans. Focusing on the goal of sustainability, the current study utilized a three-step methodology and a hybrid framework to rank solutions for overcoming SSC barriers in the pharmaceutical industry supply chain. We conduct a comprehensive literature review to identify the barriers and solutions, then finalize them using the Delphi technique. The current study finalized 16 SSC barriers and 14 solutions. The fuzzy analytical hierarchy process (FAHP) is used to prioritize barriers and calculate the weight of each barrier. The main challenge that obstructs the adoption of SSC into practice is higher initial investment and unclear return on investments. The current study used Extended PROMETHEE II (EXPROM2) for prioritization of SSC solutions. The solution ranking indicates that governmental assistance and public–private partnerships are the most effective approaches for overcoming the listed barriers. Additionally, a sensitivity analysis is conducted to assess the appropriateness of the final findings of the current study. The current findings will allow organizations to pinpoint the most troublesome barriers and therefore implement solutions that may mitigate their severity.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"17 ","pages":"Article 100268"},"PeriodicalIF":6.8000,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A hybrid framework for prioritizing the solutions to mitigate sustainable supply chain barriers in industry 5.0\",\"authors\":\"Md Kamruzzaman, Anup Karmakar, Md.Golam Kibria\",\"doi\":\"10.1016/j.clscn.2025.100268\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Industry 5.0 is a potential framework that aims to envision the most advanced industrial, transportation, energy-efficient, and sustainable supply chain (SSC) of the future. Industry 5.0 and SSC are essential ideas that are revolutionizing the operational strategies of enterprises in the modern day. Concurrently, these two principles propel the development of a very sustainable and resilient global economy. Contemporary organizations are increasingly adopting sustainable practices in the supply chain by using technology such as blockchain, artificial intelligence (AI), and collaborative robots (co-bots) to trace the source of products, guarantee ethical and sustainable sourcing and procurement, and efficiently and securely collaborate with humans. Focusing on the goal of sustainability, the current study utilized a three-step methodology and a hybrid framework to rank solutions for overcoming SSC barriers in the pharmaceutical industry supply chain. We conduct a comprehensive literature review to identify the barriers and solutions, then finalize them using the Delphi technique. The current study finalized 16 SSC barriers and 14 solutions. The fuzzy analytical hierarchy process (FAHP) is used to prioritize barriers and calculate the weight of each barrier. The main challenge that obstructs the adoption of SSC into practice is higher initial investment and unclear return on investments. The current study used Extended PROMETHEE II (EXPROM2) for prioritization of SSC solutions. The solution ranking indicates that governmental assistance and public–private partnerships are the most effective approaches for overcoming the listed barriers. Additionally, a sensitivity analysis is conducted to assess the appropriateness of the final findings of the current study. 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引用次数: 0
摘要
工业5.0是一个潜在的框架,旨在设想未来最先进的工业、交通、节能和可持续供应链(SSC)。工业5.0和SSC是革新现代企业运营战略的重要理念。这两项原则同时推动了全球经济的可持续发展和韧性。当代组织越来越多地在供应链中采用可持续实践,通过使用区块链、人工智能(AI)和协作机器人(co-bots)等技术来追踪产品来源,保证道德和可持续的采购和采购,并有效和安全地与人类合作。着眼于可持续发展的目标,本研究采用三步法和混合框架对制药行业供应链中克服SSC障碍的解决方案进行排名。我们进行了全面的文献综述,以确定障碍和解决方案,然后使用德尔菲技术最终确定。目前的研究确定了16个SSC障碍和14个解决方案。采用模糊层次分析法(FAHP)对障碍物进行排序,并计算每个障碍物的权重。阻碍南南合作付诸实践的主要挑战是较高的初始投资和不明确的投资回报。目前的研究使用扩展PROMETHEE II (EXPROM2)来确定SSC解决方案的优先级。解决方案排名表明,政府援助和公私伙伴关系是克服所列障碍的最有效途径。此外,还进行了敏感性分析,以评估当前研究最终结果的适当性。当前的发现将允许组织确定最棘手的障碍,从而实施可能减轻其严重性的解决方案。
A hybrid framework for prioritizing the solutions to mitigate sustainable supply chain barriers in industry 5.0
Industry 5.0 is a potential framework that aims to envision the most advanced industrial, transportation, energy-efficient, and sustainable supply chain (SSC) of the future. Industry 5.0 and SSC are essential ideas that are revolutionizing the operational strategies of enterprises in the modern day. Concurrently, these two principles propel the development of a very sustainable and resilient global economy. Contemporary organizations are increasingly adopting sustainable practices in the supply chain by using technology such as blockchain, artificial intelligence (AI), and collaborative robots (co-bots) to trace the source of products, guarantee ethical and sustainable sourcing and procurement, and efficiently and securely collaborate with humans. Focusing on the goal of sustainability, the current study utilized a three-step methodology and a hybrid framework to rank solutions for overcoming SSC barriers in the pharmaceutical industry supply chain. We conduct a comprehensive literature review to identify the barriers and solutions, then finalize them using the Delphi technique. The current study finalized 16 SSC barriers and 14 solutions. The fuzzy analytical hierarchy process (FAHP) is used to prioritize barriers and calculate the weight of each barrier. The main challenge that obstructs the adoption of SSC into practice is higher initial investment and unclear return on investments. The current study used Extended PROMETHEE II (EXPROM2) for prioritization of SSC solutions. The solution ranking indicates that governmental assistance and public–private partnerships are the most effective approaches for overcoming the listed barriers. Additionally, a sensitivity analysis is conducted to assess the appropriateness of the final findings of the current study. The current findings will allow organizations to pinpoint the most troublesome barriers and therefore implement solutions that may mitigate their severity.