Research on Shipping Supply Chain Risk Discern and Control

ICLEM 2010 ◽  
2010 ◽  
Author(s):  
Yan Wang ◽  
Zhicheng Fan
Keyword(s):  
Supply Chain ◽  
Supply Chain Risk ◽  
And Control

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.

Supply chain risk management dimensions in Indian automobile industry

2014 ◽  
Vol 21 (6) ◽  
pp. 1023-1040 ◽  
Author(s):  
Satyendra Kumar Sharma ◽  
Anil Bhat
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Automobile Industry ◽  
Control Strategies ◽  
Supplier Development ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Negative Effects ◽  
Content Type ◽  
And Control

Purpose – Globalization and outsourcing have rendered Indian automotive companies more vulnerable to supply chain (SC) risks. Consequently, companies adopt different supply chain risk management (SCRM) strategies to mitigate SC risks. The purpose of this paper is to explore SCRM strategies in Indian automobile industry and to classify automobile firms based on SCRM dimensions. Design/methodology/approach – A survey instrument on SCRM dimensions was designed and data were collected from 79 automobile firms. Principle component analysis (PCA) was performed on the collected data to derive the factors underlying SCRM dimensions. Further, cluster analysis using extracted factors as a clustering variate was performed to identify strategic groups from the given set of firms. Findings – PCA derived seven factors, namely: avoidance, supplier development, flexibility, risk pooling, redundancy, integration and control strategies. The surveyed firms were classified into two clusters as low and high SCRM level. Research limitations/implications – A limitation of this study is that data were collected from a single industry and in a single country. Practical implications – Understanding of SCRM dimensions shall increase the use of these dimensions and firms can mitigate negative effects of SC risks. The detailed operationalization of SCRM strategies highlights the importance of three strategies: avoidance, integration and supplier development. Managers’ understanding of SCRM strategies will improve the firm's performance and business excellence. Originality/value – This research empirically validates SCRM strategies and investigates how these create differences among firms.

scholarly journals Supply Chain Risk Prevention and Control Based on Fuzzy Influence Diagram and Discrete Hopfield Neural Network

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Xin Su ◽  
Maohua Zhong
Keyword(s):  
Neural Network ◽  
Supply Chain ◽  
Prevention And Control ◽  
Hopfield Neural Network ◽  
Control Model ◽  
Risk Prevention ◽  
Influence Diagram ◽  
Occurrence Probability ◽  
Supply Chain Risk ◽  
And Control

Efficient and reasonable supply chain management helps enterprises improve their efficiency, reduce costs, shorten cash flow times, and reduce enterprise risks. Risk prevention and control is a safety symbol for supply chains. To explore different influence degrees of multirisk factors and multilinks on enterprises, we propose a supply chain risk prevention and control model based on a fuzzy influence diagram and Hopfield neural network. Using the model that both calculates the risk size and occurrence probability of the supply chain and allows identifying various risk prevention and control levels, the supply chain risk is evaluated both objectively and fairly. We analyzed the theoretical and practical properties of supply chain risk prevention and control models and used it in the H company to illustrate this model.

scholarly journals Supply Chain Risk Management Strategies: A Study of South African Third-Party Logistics Providers

2020 ◽  
Vol 24 ◽  
Author(s):  
Mandla Mvubu ◽  
Micheline Naude
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Supply Chain ◽  
South African ◽  
Service Providers ◽  
Third Party ◽  
Third Party Logistics ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
And Control

The purpose of this study was to determine the supply chain risk management (SCRM) strategies that South African third-party logistics (3PL) service providers use to mitigate risks, the extent to which they adopt these strategies and the benefits derived thereof. An exploratory and descriptive method technique was adopted. The empirical study comprised of email surveys administered to 398 supply chain managers employed by South African 3PLs. The findings reveal that respondents place greater importance on risk identification than on the other SCRM strategies. Risk assessment attained the lowest rating, implying that 3PL providers placed the least importance on this risk assessment strategy. Risk response and risk monitoring, reporting and control are all adopted to a significantly lesser extent. The findings also revealed that 3PL providers derive significant benefits from all SCRM strategies. A limitation of this study is that not all 3PL providers affiliated with SAAFF participated. In addition, because only members of senior management were included in the study, the opinions of operational and tactical staff were not obtained. The study contributes to the current body of knowledge on SCRM by exploring how 3PL providers in a developing country, such as South Africa, assess supply chain risks, the strategies they have in place to respond to these risks, and the mechanisms in place to monitor and control SCM risks.

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