交织绿色供应链管理和敏捷基于供应链管理的决策框架,使用GIVTFNs实现可持续发展

A. Sahu, Sri Yogi Kottala, H. K. Narang, M. S. Rajput
{"title":"交织绿色供应链管理和敏捷基于供应链管理的决策框架,使用GIVTFNs实现可持续发展","authors":"A. Sahu, Sri Yogi Kottala, H. K. Narang, M. S. Rajput","doi":"10.1108/jgoss-06-2022-0060","DOIUrl":null,"url":null,"abstract":"\nPurpose\nSupply chain management (SCM)-embedded valuable resources, such as capital, raw-materials, products, partners, customers and finished inventories, where the evaluation of environmental texture and flexibilities are needed to perceive sustainability. The present study aims to identify and evaluate the directory of green and agile (G-A) attributes based on decision support framework (DSF) for identifying dominating measures in SCM.\n\n\nDesign/methodology/approach\nDSF is developed by exploiting generalized interval valued trapezoidal fuzzy numbers (GIVTFNs). Two technical approaches, i.e. degree of similarity approach (DSA) and distance approach (DA) under the extent boundaries of GIVTFNs, are implicated for data analytics and for recognizing constructive G-A measures based on comparative study for robust decision. A fuzzy-based performance indicator, i.e. fuzzy performance important index (FPII), is presented to enumerate the weak and strong G-A characteristics to manage knowledge risks in allied business environment.\n\n\nFindings\nThe modeling is illustrated from the insights of decision-makers for augmenting business value based on cognitive identification of measures, where the best performance score is identified by the “sustainable packaging” under the traits of green supply chain management (GSCM). “The use of Web-based applications” under the traits of agile supply chain management (ASCM) and “Outsourcing flexibility” under traits of ASCM is found as the second and third most significant performance characteristics for business sustainability. Additionally, the “Reutilization (recycling) and reprocessing” under GSCM in manufacturing and “Responsiveness and speed toward customers needs” under ASCM are found difficult in attainment.\n\n\nResearch limitations/implications\nThe G-A evaluation will assist in attaining performance excellence in day-to-day operations and overall functioning. The outcomes will help executives to plan strategic objectives and attaining success.\n\n\nOriginality/value\nTo reinforce the capabilities of SCM, wide extent of G-A dimensions are presented, concept of FPII is reported to manage knowledge risks based on identification of strong attributes and two technical approaches, i.e. DSA and DA under GIVTFNs are presented for attaining robust decision and directing managerial decision-making process.\n","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":null,"pages":null},"PeriodicalIF":3.8000,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Intertwining green SCM- and agile SCM-based decision-making framework for sustainability using GIVTFNs\",\"authors\":\"A. Sahu, Sri Yogi Kottala, H. K. Narang, M. S. Rajput\",\"doi\":\"10.1108/jgoss-06-2022-0060\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\nPurpose\\nSupply chain management (SCM)-embedded valuable resources, such as capital, raw-materials, products, partners, customers and finished inventories, where the evaluation of environmental texture and flexibilities are needed to perceive sustainability. The present study aims to identify and evaluate the directory of green and agile (G-A) attributes based on decision support framework (DSF) for identifying dominating measures in SCM.\\n\\n\\nDesign/methodology/approach\\nDSF is developed by exploiting generalized interval valued trapezoidal fuzzy numbers (GIVTFNs). Two technical approaches, i.e. degree of similarity approach (DSA) and distance approach (DA) under the extent boundaries of GIVTFNs, are implicated for data analytics and for recognizing constructive G-A measures based on comparative study for robust decision. A fuzzy-based performance indicator, i.e. fuzzy performance important index (FPII), is presented to enumerate the weak and strong G-A characteristics to manage knowledge risks in allied business environment.\\n\\n\\nFindings\\nThe modeling is illustrated from the insights of decision-makers for augmenting business value based on cognitive identification of measures, where the best performance score is identified by the “sustainable packaging” under the traits of green supply chain management (GSCM). “The use of Web-based applications” under the traits of agile supply chain management (ASCM) and “Outsourcing flexibility” under traits of ASCM is found as the second and third most significant performance characteristics for business sustainability. Additionally, the “Reutilization (recycling) and reprocessing” under GSCM in manufacturing and “Responsiveness and speed toward customers needs” under ASCM are found difficult in attainment.\\n\\n\\nResearch limitations/implications\\nThe G-A evaluation will assist in attaining performance excellence in day-to-day operations and overall functioning. The outcomes will help executives to plan strategic objectives and attaining success.\\n\\n\\nOriginality/value\\nTo reinforce the capabilities of SCM, wide extent of G-A dimensions are presented, concept of FPII is reported to manage knowledge risks based on identification of strong attributes and two technical approaches, i.e. DSA and DA under GIVTFNs are presented for attaining robust decision and directing managerial decision-making process.\\n\",\"PeriodicalId\":43346,\"journal\":{\"name\":\"Journal of Global Operations and Strategic Sourcing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2022-12-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Global Operations and Strategic Sourcing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/jgoss-06-2022-0060\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Global Operations and Strategic Sourcing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/jgoss-06-2022-0060","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0

摘要

目的供应链管理(SCM)-嵌入有价值的资源,如资本、原材料、产品、合作伙伴、客户和成品库存,其中需要对环境结构和灵活性进行评估,以感知可持续性。本研究旨在基于决策支持框架(DSF)对供应链管理中绿色敏捷(G-A)属性目录进行识别和评价,以识别供应链管理中的主导措施。dsf是利用广义区间值梯形模糊数(GIVTFNs)发展起来的。本文提出了两种技术方法,即GIVTFNs范围边界下的相似度方法(DSA)和距离方法(DA),用于数据分析和基于比较研究的鲁棒性决策的建设性G-A措施识别。提出了一种基于模糊的绩效指标,即模糊绩效重要指数(FPII),用以列举企业在联合经营环境中知识风险管理的强弱G-A特征。研究发现:基于认知识别的措施,决策者对增加商业价值的见解说明了模型,其中绿色供应链管理(GSCM)特征下的“可持续包装”确定了最佳绩效分数。敏捷供应链管理(ASCM)特征下的“基于web的应用程序的使用”和ASCM特征下的“外包灵活性”被发现是业务可持续性的第二和第三个最重要的绩效特征。此外,在制造业中,GSCM下的“再利用(回收)和再加工”和ASCM下的“对客户需求的响应性和速度”难以实现。研究局限/影响G-A评估将有助于在日常运作和整体运作方面取得卓越表现。其结果将有助于高管规划战略目标并取得成功。原创性/价值为了加强供应链管理的能力,提出了广泛的G-A维度,报告了FPII的概念,以识别强属性为基础管理知识风险,并提出了两种技术方法,即GIVTFNs下的DSA和DA,以实现稳健决策和指导管理决策过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Intertwining green SCM- and agile SCM-based decision-making framework for sustainability using GIVTFNs
Purpose Supply chain management (SCM)-embedded valuable resources, such as capital, raw-materials, products, partners, customers and finished inventories, where the evaluation of environmental texture and flexibilities are needed to perceive sustainability. The present study aims to identify and evaluate the directory of green and agile (G-A) attributes based on decision support framework (DSF) for identifying dominating measures in SCM. Design/methodology/approach DSF is developed by exploiting generalized interval valued trapezoidal fuzzy numbers (GIVTFNs). Two technical approaches, i.e. degree of similarity approach (DSA) and distance approach (DA) under the extent boundaries of GIVTFNs, are implicated for data analytics and for recognizing constructive G-A measures based on comparative study for robust decision. A fuzzy-based performance indicator, i.e. fuzzy performance important index (FPII), is presented to enumerate the weak and strong G-A characteristics to manage knowledge risks in allied business environment. Findings The modeling is illustrated from the insights of decision-makers for augmenting business value based on cognitive identification of measures, where the best performance score is identified by the “sustainable packaging” under the traits of green supply chain management (GSCM). “The use of Web-based applications” under the traits of agile supply chain management (ASCM) and “Outsourcing flexibility” under traits of ASCM is found as the second and third most significant performance characteristics for business sustainability. Additionally, the “Reutilization (recycling) and reprocessing” under GSCM in manufacturing and “Responsiveness and speed toward customers needs” under ASCM are found difficult in attainment. Research limitations/implications The G-A evaluation will assist in attaining performance excellence in day-to-day operations and overall functioning. The outcomes will help executives to plan strategic objectives and attaining success. Originality/value To reinforce the capabilities of SCM, wide extent of G-A dimensions are presented, concept of FPII is reported to manage knowledge risks based on identification of strong attributes and two technical approaches, i.e. DSA and DA under GIVTFNs are presented for attaining robust decision and directing managerial decision-making process.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
9.40
自引率
0.00%
发文量
31
期刊介绍: The Journal of Global Operations and Strategic Sourcing aims to foster and lead the international debate on global operations and strategic sourcing. It provides a central, authoritative and independent forum for the critical evaluation and dissemination of research and development, applications, processes and current practices relating to sourcing strategically for products, services, competences and resources on a global scale and to designing, implementing and managing the resulting global operations. Journal of Global Operations and Strategic Sourcing places a strong emphasis on applied research with relevant implications for both knowledge and practice. Also, the journal aims to facilitate the exchange of ideas and opinions on research projects and issues. As such, on top of a standard section publishing scientific articles, there will be two additional sections: "The Industry ViewPoint": in this section, industrial practitioners from around the world will be invited (max 2 contributions per issue) to present their point of view on a relevant subject area. This is intended to give the journal not just an academic focus, but a practical focus as well. In this way, we intend to reflect a trend that has characterised the past few decades, where interests and initiatives in research, academia and industry have been more and more converging to the point of collaborative relationships being a common practice. "Research Updates - Executive Summaries". In this section, researchers around the world will be given the opportunity to present their research projects in the area of global sourcing and outsourcing by means of an executive summary of their project. This will increase awareness of the on-going research projects in the area and it will attract interest from industry.
期刊最新文献
Digital transformation in ecosystems: integrated operations model and its application to fifth-party logistics operators The analysis of performance due to impact of bullwhip effect in Covid: select Indian sector perspective Practices and strategies for global sourcing and supply chain management: a Pareto analysis and MOORA a mixed method approach Observation of post-yield supply chain impediments for spoilage mitigation and revenue generation opportunities at countryside Digital procurement towards new performance frontiers: a systematic literature review and future research fronts
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1