Supply chain resilience and structure: An evaluation framework

被引:18
作者
Aguila, Jessica Olivares [1 ]
ElMaraghy, Waguih [1 ]
机构
[1] Univ Windsor, Intelligent Mfg Syst IMS Ctr, 401 Sunset Ave, Windsor, ON N9B 3P4, Canada
来源
7TH INTERNATIONAL CONFERENCE ON CHANGEABLE, AGILE, RECONFIGURABLE AND VIRTUAL PRODUCTION (CARV2018) | 2019年 / 28卷
关键词
supply chain network; framework; topology; resilience; uncertainty;
D O I
10.1016/j.promfg.2018.12.008
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Unexpected supply chain disruptions are situations that could impact in high magnitude the supply chain performance. In this paper, an evaluation framework is proposed for quantifying supply chain resilience and network topology. A supply chain resilience index is hereby derived using 'system impact cost' and 'recovery effort cost' from the results of the company performance. The resilience index helps managers to consider the trade-off between resilience and cost. The supply chain network topology is evaluated with indices of density, scale and centralization. While previous researchers considered network design characteristics, the physical location of the supply chain entities has been omitted. In this work, two of the proposed network characteristics indices consider the location zones of the supply chain entities. The network analysis unveils configurations with risk concentrations. The proposed supply chain framework seeks to evaluate and compare different scenarios and strategies for use in designing and analysing supply chains. Additionally, a rating system is used to give guidance to the decision maker and to choose the best strategy depending on established objectives. A case study is used to show the applicability of the framework. (C) 2019 The Authors. Published by Elsevier B.V.
引用
收藏
页码:43 / 50
页数:8
相关论文
共 9 条
[1]  
Barroso A., 2015, QUANTIFYING SUPPLY C
[2]   Supply chain redesign for resilience using simulation [J].
Carvalho, Helena ;
Barroso, Ana P. ;
Machado, Virginia H. ;
Azevedo, Susana ;
Cruz-Machado, V. .
COMPUTERS & INDUSTRIAL ENGINEERING, 2012, 62 (01) :329-341
[3]   The severity of supply chain disruptions: Design characteristics and mitigation capabilities [J].
Craighead, Christopher W. ;
Blackhurst, Jennifer ;
Rungtusanatham, M. Johnny ;
Handfield, Robert B. .
DECISION SCIENCES, 2007, 38 (01) :131-156
[4]  
Falasca M., 2008, Proceedings of the 5th International ISCRAM Conference, (May 2008), P596
[5]   CENTRALITY IN SOCIAL NETWORKS CONCEPTUAL CLARIFICATION [J].
FREEMAN, LC .
SOCIAL NETWORKS, 1979, 1 (03) :215-239
[6]   Structural investigation of supply networks: A social network analysis approach [J].
Kim, Yusoon ;
Choi, Thomas Y. ;
Yan, Tingting ;
Dooley, Kevin .
JOURNAL OF OPERATIONS MANAGEMENT, 2011, 29 (03) :194-211
[7]   Understanding the concept of supply chain resilience [J].
Ponomarov, Serhiy Y. ;
Holcomb, Mary C. .
INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT, 2009, 20 (01) :124-143
[8]  
United Nations Statistics Division, 1999, Standard country or area codes for statistical use
[9]  
Vugrin ED, 2010, SUSTAINABLE AND RESILIENT CRITICAL INFRASTRUCTURE SYSTEMS: SIMULATION, MODELING, AND INTELLIGENT ENGINEERING, P77, DOI 10.1007/978-3-642-11405-2_3