Supply Chain Disruption Risk Evaluation Based on TOPSIS Method with Sensitivity Analyses

ICLEM 2010 ◽  
2010 ◽  
Author(s):  
Haisha Zheng
Author(s):  
Joseph B. Skipper ◽  
Joe B. Hanna

PurposeThe purpose of this paper is to examine the use of a strategic approach (contingency planning) to minimize risk exposure to a supply chain disruption. Specifically, the relationship between several attributes of a contingency planning process and flexibility are examined.Design/methodology/approachThis effort develops a model that will provide both researchers and practitioners a means of determining the attributes with the highest relationship to flexibility. The model is then tested using multiple regression techniques.FindingsBased on the sample used in this survey, top management support, resource alignment, information technology usage, and external collaboration provide the largest contributions to flexibility. Flexibility has been shown to enhance the ability to minimize risk exposure in the event of a supply chain disruption.Research limitations/implicationsIn this research effort, the multiple regression results produced an R2 of 0.45, indicating that additional variables of interest may need to be identified and investigated. Furthermore, a wider range of respondents could make the results more generalizable.Practical implicationsThis effort will help to allow managers at multiple levels to understand the primary planning attributes to use to increase flexibility.Originality/valueThe paper develops a model that can be used to identify the specific areas that can lead to improved flexibility. Based on the model, managers, and planners can develop appropriate strategies for minimizing risk exposure in the event of a supply chain disruption.


2014 ◽  
Vol 511-512 ◽  
pp. 1239-1243
Author(s):  
Han Qing Li ◽  
Yi Hong Ru

This study is comprised of three main problems. Firstly, a supply chain risk defense problem (SCRDP) is proposed. Then, the study considers a facility location problem in the presence of random facility disruptions where the facilities can be defensed with additional investments. It is formulated as a mixed integer programming model. Finally, a case shows a location solution which designs how to distribute the hardened and non-hardened facilities.


2017 ◽  
Vol 49 (39) ◽  
pp. 3943-3958 ◽  
Author(s):  
Youyu Chen ◽  
Tong Shu ◽  
Shou Chen ◽  
Shouyang Wang ◽  
Kin Keung Lai ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Baitong Chen ◽  
Xinzhong Bao ◽  
Kun Xu

In view of problems such as lack of dynamism, limited research subjects, and lack of future development trends in previous studies, the paper takes small and microenterprises (SMEs) as research objects under the background of e-commerce supply chain finance. Based on the perspective of dynamic rewards and punishments, credit rewards and punishment value and time weights are embedded in the static evaluation results obtained by the traditional TOPSIS method. The Grey relative analysis method is used to reflect the development trend of enterprises’ credit and to build the traditional TOPSIS model and the credit risk evaluation model of e-commerce supply chain finance of SMEs by the improved TOPSIS method based on the dynamic perspective of rewards and punishments. Finally, the model is applied to SMEs credit risk evaluation of e-commerce supply chain finance to verify the feasibility and rationality of the model.


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