Supply chain mapping for improving “visilience”: A hybrid multi-criteria decision making based methodology

IF 1.9 Q3 MANAGEMENT Journal of Multi-Criteria Decision Analysis Pub Date : 2023-05-04 DOI:10.1002/mcda.1807
Muhammad Shujaat Mubarik, Sharfuddin Ahmed Khan, Adolf Acquaye, Mobashar Mubarik
{"title":"Supply chain mapping for improving “visilience”: A hybrid multi-criteria decision making based methodology","authors":"Muhammad Shujaat Mubarik,&nbsp;Sharfuddin Ahmed Khan,&nbsp;Adolf Acquaye,&nbsp;Mobashar Mubarik","doi":"10.1002/mcda.1807","DOIUrl":null,"url":null,"abstract":"<p>Supply chain mapping is gaining heightened attention due to its vital role in improving supply chain visibility and resilience. Despite its crucial role in uplifting supply chain resilience, the critical elements of supply chain mapping are yet to be determined. The study adopts a twofold approach to identify and prioritize the dimensions and sub-dimensions of supply chain (SC) mapping. At the first stage, through an extensive review of literature, 43 sub-dimensions of SC mapping were identified. In the second stage, Gray - DEMATEL-based Analytic Network Process (GDANP) was employed by taking the input from 25 experts selected from Oil and Gas industry of an emerging market. The findings reveal three major dimensions of SC mapping followed by 15 sub-dimensions. Among the dimensions, upstream mapping contains the highest priority weights, followed by midstream and downstream mapping. The findings suggest a step-wise strategy to adopt SC mapping where upstream mapping should be given the first priority. The major contribution of this study is to develop a framework for measuring the extent of SC mapping of a firm using GDANP.</p>","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"30 5-6","pages":"173-189"},"PeriodicalIF":1.9000,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Multi-Criteria Decision Analysis","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/mcda.1807","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 2

Abstract

Supply chain mapping is gaining heightened attention due to its vital role in improving supply chain visibility and resilience. Despite its crucial role in uplifting supply chain resilience, the critical elements of supply chain mapping are yet to be determined. The study adopts a twofold approach to identify and prioritize the dimensions and sub-dimensions of supply chain (SC) mapping. At the first stage, through an extensive review of literature, 43 sub-dimensions of SC mapping were identified. In the second stage, Gray - DEMATEL-based Analytic Network Process (GDANP) was employed by taking the input from 25 experts selected from Oil and Gas industry of an emerging market. The findings reveal three major dimensions of SC mapping followed by 15 sub-dimensions. Among the dimensions, upstream mapping contains the highest priority weights, followed by midstream and downstream mapping. The findings suggest a step-wise strategy to adopt SC mapping where upstream mapping should be given the first priority. The major contribution of this study is to develop a framework for measuring the extent of SC mapping of a firm using GDANP.

Abstract Image

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
提高“可见性”的供应链映射:一种基于多准则决策的混合方法
供应链映射由于其在提高供应链可见性和弹性方面的重要作用而受到高度关注。尽管它在提升供应链弹性方面发挥着至关重要的作用,但供应链映射的关键要素尚未确定。本研究采用双重方法对供应链映射的维度和子维度进行识别和优先排序。在第一阶段,通过广泛的文献回顾,确定了43个子维度的SC映射。在第二阶段,采用基于Gray - dematel的分析网络过程(GDANP),从新兴市场的石油和天然气行业中选择25名专家进行输入。研究结果揭示了SC映射的三个主要维度,其次是15个子维度。其中,上游映射的优先级权重最高,中游映射次之,下游映射次之。研究结果建议采取循序渐进的策略,采用SC映射,其中上游映射应优先考虑。本研究的主要贡献是开发了一个框架,用于使用GDANP测量公司的SC映射程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
4.70
自引率
10.00%
发文量
14
期刊介绍: The Journal of Multi-Criteria Decision Analysis was launched in 1992, and from the outset has aimed to be the repository of choice for papers covering all aspects of MCDA/MCDM. The journal provides an international forum for the presentation and discussion of all aspects of research, application and evaluation of multi-criteria decision analysis, and publishes material from a variety of disciplines and all schools of thought. Papers addressing mathematical, theoretical, and behavioural aspects are welcome, as are case studies, applications and evaluation of techniques and methodologies.
期刊最新文献
A Multi-Criteria Decision Support Tool for Shared Decision Making in Clinical Consultation Issue Information A Bibliometric Exploration of Multiple Criteria Decision Aid and Clustering—A Conceptual Taxonomy Monitoring Sustainable Development Goals: Stepwise Benchmarking Approach Charting the evolutionary conceptual pathway of analytic network process research: A main path analysis
×
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