Resilient supply chain network design without lagging sustainability responsibilities

供应链 持续性 供应链网络 妥协 风险分析(工程) 弹性(材料科学) 供应链风险管理 计算机科学 社会可持续性 环境经济学 业务 供应链管理 环境资源管理 经济 服务管理 营销 生物 热力学 物理 社会学 社会科学 生态学
作者
Ahmed Mohammed,Nasiru Zubairu,Morteza Yazdani,Ali Diabat,Xiaodong Li
出处
期刊:Applied Soft Computing [Elsevier BV]
卷期号:140: 110225-110225 被引量:4
标识
DOI:10.1016/j.asoc.2023.110225
摘要

In the 21st century, global supply chains have experienced severe risks due to disruptions caused by crises and serious diseases, such as the great tsunami, SARS, and, more recently, COVID-19. Building a resilient supply chain is necessary for business survival and growth. Similarly, there is increasing regulatory and social pressure for managers to continuously design and implement sustainable supply chain networks, encompassing economic, social, and environmental components. Hence, a panacea approach is required to establish a compromise position between resiliency concerns and sustainability responsibilities. To address this, this work presents a hybrid integrated BWM-CoCoSo-multi-objective programming model (BC-MOPM) formulated to deliver a compromise between resilience and sustainability supply chain network design (RS-SCND). First, a thorough literature review analysis is conducted to explore the relationship and correlation between resilience and sustainability to develop a framework for the resiliency and sustainability criteria, in a supply chain context. Second, four objectives were formulated, including the minimisation of total cost and environmental impact and the maximisation of social and resilience paradigms. A real two-tier supply chain network is deployed to evaluate the applicability of the developed BC-MOPM. Furthermore, sensitivity analysis is conducted to establish the relative importance of the identified criteria to prove the model’s robustness. Results demonstrate the capability of the BC-MOPM in revealing trade-offs between the resiliency and sustainability aspects.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
科研通AI6.4应助苏风涯采纳,获得20
1秒前
1秒前
1秒前
科研通AI6.4应助笙箫采纳,获得10
1秒前
anna1992发布了新的文献求助10
1秒前
shouren完成签到,获得积分10
1秒前
张晓东发布了新的文献求助10
1秒前
1秒前
1秒前
瓜头完成签到,获得积分10
1秒前
zhinian发布了新的文献求助10
1秒前
溟曦完成签到,获得积分10
2秒前
威武的映萱完成签到,获得积分20
2秒前
小不遛w完成签到,获得积分10
2秒前
伶俐的猎豹完成签到 ,获得积分10
2秒前
晾猫人完成签到,获得积分10
2秒前
村口烫头祁师傅完成签到,获得积分10
2秒前
3秒前
爆米花应助itsdatou采纳,获得10
3秒前
3秒前
科目三应助高贵的傲云采纳,获得10
3秒前
yuanyingge完成签到,获得积分10
3秒前
3秒前
明理天菱发布了新的文献求助10
4秒前
NexusExplorer应助linman采纳,获得10
4秒前
Yliang发布了新的文献求助10
4秒前
lu发布了新的文献求助10
5秒前
5秒前
阔达的冷霜完成签到,获得积分10
5秒前
共享精神应助派大星采纳,获得10
5秒前
淡淡熠彤发布了新的文献求助10
5秒前
5秒前
深情安青应助silan采纳,获得10
6秒前
脑洞疼应助威武的映萱采纳,获得10
6秒前
6秒前
爱尚完成签到,获得积分10
6秒前
6秒前
Copyright应助okok采纳,获得10
6秒前
壮观的远侵完成签到,获得积分10
6秒前
木cheng完成签到,获得积分20
6秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
CLSI M07 2024 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7248441
求助须知:如何正确求助?哪些是违规求助? 8871351
关于积分的说明 18717348
捐赠科研通 6927574
什么是DOI,文献DOI怎么找? 3198370
关于科研通互助平台的介绍 2373945
邀请新用户注册赠送积分活动 2173113