Global Supply Chain Network Design Incorporating Disruption Risk

2014 ◽  
Vol 1 (3) ◽  
pp. 37-62 ◽  
Author(s):  
Kanokporn Rienkhemaniyom ◽  
A. Ravi Ravindran

Supply chain networks have expanded globally in today's business environment due to cost efficiencies, advanced technology, and market growth. This expansion makes the supply chains more vulnerable to disruption risks in different countries. A disruption in one country can cause serious global impacts. In this paper, the authors formulate a multi-criteria optimization model for supporting strategic supply chain network design decisions. The model considers disruption risk of supply chain components (i.e., facilities and transportation links) as well as profit and customer responsiveness as conflicting criteria. This consideration is important since disruption at any supply chain component may lead to the disruption of the entire supply chain network. They apply goal programming (GP) techniques to handle multiple and conflicting network design objectives. The authors present a numerical example to illustrate how to incorporate disruption risk when making strategic supply chain decisions. The results demonstrate how supply chain network designs that over emphasize profit may include inexpensive supply chain components with high disruption risk. Therefore, more attention must be paid to managing potential disruptions and designing supply chain networks that balance profit and risk. They discuss tradeoffs among multiple design solutions and identify opportunities for future research.

2021 ◽  
Vol 13 (19) ◽  
pp. 10925
Author(s):  
Luis Francisco López-Castro ◽  
Elyn L. Solano-Charris

Nowadays, Supply Chain Networks (SCNs) must respond to economic, environmental, social, and uncertain considerations. Thus, sustainable and resilience criteria need to be incorporated as key criteria into the Supply Chain Network Design (SCND). This paper, as part of an emerging subject, reviews the literature between 2010 and 2021 that integrates sustainability and resilience on the SCND. The article classifies the literature according to the levels of the SCND, levels of the decision-making (i.e., strategic, tactical, and operational), resilience and sustainability criteria, solving approach, objective criteria, contributions to the Sustainable Development Goals (SDGs), and real-world applications. The main findings allow us to conclude that the decisions regarding the supply chain network design with sustainability and resilience criteria are mainly strategic, focusing on the forward flow. Most works address resilience through the evaluation of scenarios (risk assessment perspective), and in terms of the sustainability perspective, authors mainly focus on the economic dimension through the evaluation of income and costs along the chain. Based on the review and the proposed taxonomy, the paper proposes ideas for future research.


2021 ◽  
Vol 13 (5) ◽  
pp. 2596
Author(s):  
Kanokporn Kungwalsong ◽  
Chen-Yang Cheng ◽  
Chumpol Yuangyai ◽  
Udom Janjarassuk

A supply chain disruption is an unanticipated event that disrupts the flow of materials in a supply chain. Any given supply chain disruption could have a significant negative impact on the entire supply chain. Supply chain network designs usually consider two stage of decision process in a business environment. The first stage deals with strategic levels, such as to determine facility locations and their capacity, while the second stage considers in a tactical level, such as production quantity, delivery routing. Each stage’s decision could affect the other stage’s result, and it could not be determined individual. However, supply chain network designs often fail to account for supply chain disruptions. In this paper, this paper proposed a two-stage stochastic programming model for a four-echelon global supply chain network design problem considering possible disruptions at facilities. A modified simulated annealing (SA) algorithm is developed to determine the strategic decision at the first stage. The comparison of traditional supply chain network decision framework shows that under disruption, the stochastic solutions outperform the traditional one. This study demonstrates the managerial viability of the proposed model in designing a supply chain network in which disruptive events are proactively accounted for.


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