A Network Connectivity Embedded Clustering Approach for Supply Chain Risk Assessment

2015 ◽  
pp. 389-396 ◽  
Author(s):  
Xiao Feng Yin ◽  
Xiuju Fu ◽  
Loganathan Ponnambalam ◽  
Rick Siow Mong Goh
Keyword(s):  
Risk Assessment ◽  
Supply Chain ◽  
Network Connectivity ◽  
Supply Chain Risk ◽  
Clustering Approach

Supply Chain Risk Assessment Using Fuzzy Logic

2021 ◽  
Author(s):  
Abdelrahman Ibrahim Mostafa ◽  
Abdelrahman Mostafa Rashed ◽  
Yasmin Ashraf Alsherif ◽  
Yomna Nagah Enien ◽  
Menatalla Kaoud ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Fuzzy Logic ◽  
Supply Chain ◽  
Supply Chain Risk

scholarly journals Risk Evaluation and Control of Supply Chain Finance

2018 ◽  
Vol 6 (1) ◽  
pp. 21
Author(s):  
Ying Yu Du ◽  
Jun Bin Zhong ◽  
Zi Yue Su ◽  
Xin Peng Yang ◽  
Yi Lan Yao
Keyword(s):  
Risk Assessment ◽  
Supply Chain ◽  
Key Factors ◽  
Supply Chain Risk ◽  
Analytic Hierarchy ◽  
Industry Chain ◽  
Supply Chain Finance ◽  
Financial Index ◽  
And Control ◽  
Hierarchy Process

As an effective way of enterprises financing, supply chain finance has attracted much attention in recent years. However, since supply chain finance has some problems like long financing period, numerous stakeholders and complex effects, banks are at a higher risk carrying out this kind of service. The purpose of this paper is to explore the key factors in supply chain finance risk assessment and study the effective mode of risk elevation. Based on the existing literature and research, this paper uses Z-score to standardize the financial index of 344 medium-sized enterprises in automotive industry chain from October, 2016 to October, 2017 and build a model of supply chain risk assessment and control basing on analytic hierarchy process, principal components analysis and logistic regression analysis. Finally, we summarize how each index affects risk assessment and then analyze the reasons.

scholarly journals Supply chain risk assessment of cotton shirt production uses the house of risk method

2019 ◽  
Vol 1381 ◽  
pp. 012060
Author(s):  
A Nalhadi ◽  
A Kurniasari ◽  
N Djamal ◽  
S Suryani ◽  
S Supriyadi
Keyword(s):  
Risk Assessment ◽  
Supply Chain ◽  
Supply Chain Risk

scholarly journals A Neutrosophic AHP and TOPSIS Framework for Supply Chain Risk Assessment in Automotive Industry of Pakistan

2019 ◽  
Vol 12 (1) ◽  
pp. 154 ◽  
Author(s):  
Muhammad Junaid ◽  
Ye Xue ◽  
Muzzammil Wasim Syed ◽  
Ji Zu Li ◽  
Muhammad Ziaullah
Keyword(s):  
Risk Assessment ◽  
Supply Chain ◽  
Supply Chains ◽  
Automotive Industry ◽  
Holistic Approach ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Analytic Hierarchy ◽  
Supply Chain Resilience ◽  
Supply Chain Risks

Risk is inherent in all parts of life and brings consequences, but when it specifically emerges in supply chains, it is susceptible. Therefore, this study aims at identifying and assessing supply chain risks and developing criteria for managing these risks. Supply chain (SC) risks consist of complex, uncertain, and vague information, but risk assessment techniques in the literature have been unable to handle complexity, uncertainty, and vagueness. Therefore, this study presents a holistic approach to supply chain risk management. In this paper, neutrosophic (N) theory is merged with the analytic hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS) to deal with complexity, uncertainty, and vagueness. Then the proposed methodology is practically implemented through a case study on the automotive industry. SC resilience, SC agility, and SC robustness were selected as criteria for managing supply chain risks and analyzed using N-AHP. Furthermore, seventeen risks were identified and assessed by using N-TOPSIS. Results suggest supply chain resilience is the most important criterion for managing supply chain risks. Moreover, supplier delivery delays, supplier quality problems, supplier communication failures, and forecasting errors are the most vulnerable risks that occur in supply chains of the automotive industry in Pakistan.

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