A hybrid multi-criteria decision-making approach to evaluate interrelationships and impacts of supply chain performance factors on pharmaceutical industry

IF 1.9 Q3 MANAGEMENT Journal of Multi-Criteria Decision Analysis Pub Date : 2022-12-26 DOI:10.1002/mcda.1800
Sharfuddin Ahmed Khan, Himanshu Gupta, Angappa Gunasekaran, Muhammad Shujaat Mubarik, Jennifer Lawal
{"title":"A hybrid multi-criteria decision-making approach to evaluate interrelationships and impacts of supply chain performance factors on pharmaceutical industry","authors":"Sharfuddin Ahmed Khan,&nbsp;Himanshu Gupta,&nbsp;Angappa Gunasekaran,&nbsp;Muhammad Shujaat Mubarik,&nbsp;Jennifer Lawal","doi":"10.1002/mcda.1800","DOIUrl":null,"url":null,"abstract":"<p>Pharmaceutical Supply Chain (PSC) plays a critical role in the healthcare sector. This study identifies, validates, and prioritises the factors that play a crucial role in PSC performance, adopting a threefold approach. In the first stage performance, indicators were identified through an extensive review of the literature. With the help of expert opinion, the identified factors were validated and then categorised based on technological—organisational—environmental (TOE) and supply chain (SC) theories to propose a framework. The Pakistani Pharmaceutical sector firms were selected to investigate the cause and effect relationship among the factors, their interdependencies, and impact on overall PSC performance. This investigation was supported by a novel integrated analytic model composed of best worst method (BWM), decision-making trial and evaluation laboratory (DEMATEL), and analytical network process (ANP) methods. The results indicate that ‘human resource skills, competencies, and involvement’, ‘process improvement and healthcare reform, and manufacturing’, and ‘distribution and inventory management’ are the top three factors that have a high impact on the overall PSC performance. This study outcome help inform decision-makers and managers in the healthcare sector in formulating strategies to improve their SC performance.</p>","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"30 1-2","pages":"62-90"},"PeriodicalIF":1.9000,"publicationDate":"2022-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Multi-Criteria Decision Analysis","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/mcda.1800","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: 5

Abstract

Pharmaceutical Supply Chain (PSC) plays a critical role in the healthcare sector. This study identifies, validates, and prioritises the factors that play a crucial role in PSC performance, adopting a threefold approach. In the first stage performance, indicators were identified through an extensive review of the literature. With the help of expert opinion, the identified factors were validated and then categorised based on technological—organisational—environmental (TOE) and supply chain (SC) theories to propose a framework. The Pakistani Pharmaceutical sector firms were selected to investigate the cause and effect relationship among the factors, their interdependencies, and impact on overall PSC performance. This investigation was supported by a novel integrated analytic model composed of best worst method (BWM), decision-making trial and evaluation laboratory (DEMATEL), and analytical network process (ANP) methods. The results indicate that ‘human resource skills, competencies, and involvement’, ‘process improvement and healthcare reform, and manufacturing’, and ‘distribution and inventory management’ are the top three factors that have a high impact on the overall PSC performance. This study outcome help inform decision-makers and managers in the healthcare sector in formulating strategies to improve their SC performance.

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
一个混合的多标准决策方法来评估供应链绩效因素对制药行业的相互关系和影响
医药供应链(PSC)在医疗保健行业中起着至关重要的作用。本研究采用三方面的方法,确定、验证并优先考虑在PSC绩效中起关键作用的因素。在第一阶段的表现,指标是通过广泛的文献审查确定的。在专家意见的帮助下,对确定的因素进行验证,然后基于技术-组织-环境(TOE)和供应链(SC)理论进行分类,提出一个框架。选择巴基斯坦制药部门的公司来调查因素之间的因果关系,它们的相互依赖关系,以及对整体PSC绩效的影响。该研究由最佳最差方法(BWM)、决策试验和评估实验室(DEMATEL)和分析网络过程(ANP)方法组成的新型集成分析模型提供支持。结果表明,“人力资源技能、能力和参与”、“流程改进和医疗改革与制造”以及“分销和库存管理”是对PSC整体绩效影响最大的三个因素。本研究结果有助于医疗保健部门的决策者和管理者制定战略,以提高他们的供应链绩效。
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
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 Socio-economic strategy for settlement of refugees amidst crisis: The case of Pak-Afghan
×
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