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 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.

A model for supply chain risk management in the automotive industry using fuzzy analytic hierarchy process and fuzzy TOPSIS

2018 ◽  
Vol 25 (9) ◽  
pp. 3831-3857 ◽  
Author(s):  
Samira Salehi Heidari ◽  
Mohammad Khanbabaei ◽  
Majid Sabzehparvar
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Analytic Hierarchy Process ◽  
Organizational Performance ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Performance Factors ◽  
Hierarchy Process

Purpose One of the most important issues in supply chain (SC) management is the identification and management of the risk involved in it. The purpose of this paper is to propose a comprehensive model of supply chain risk management (SCRM) in the product life cycle (PLC) and the operational process cycle (OPC). To decrease the risks in a fuzzy environment, the model considers the organizational performance factors (OPF) and the risk operational practices (ROP). Design/methodology/approach Fuzzy analytic hierarchy process is used to determine the weights of the relationships between the PLC, OPC and OPF in the hierarchical structure of the decision problem. In addition, the fuzzy technique for order preference by similarity to ideal solution is employed to recognize the priority of ROPs in dealing with the performance factors. The integrated framework is evaluated using the case study of an automotive company in Iran. Findings The results demonstrated that the proposed model can be used to formulate an appropriate method for prioritizing defined alternatives to decrease risk and improve the organizational performance in SCRM under fuzzy conditions. Research limitations/implications A major limitation of the study is that a few of the selected criteria for risk assessment are focused only on economic factors. Another limitation of the current study is related to the PLC, OPC and OPF being based on the work of Xia and Chen (2011). Practical implications The current study identified the more important stage in the PLC. More significant process in each stage of the PLC and weightier risk factors in each process of the OPC were determined. Some strategies for reducing risk in each stage of the PLC were presented. The best alternatives for reducing risks in SC were indicated. Originality/value It is worth mentioning that previous studies have not applied multiple criteria and alternatives to decrease the risks involved in the PLC and OPC parts of the SC under fuzzy conditions. However, it should be stated that some academics have used these techniques separately, in other specialized areas of the SC.

Fuzzy hierarchy analytic method of enterprise supply chain financial risk

2021 ◽  
pp. 1-10
Author(s):  
Huali Deng ◽  
Aoduo Zhang
Keyword(s):  
Risk Assessment ◽  
Supply Chain ◽  
Analytic Hierarchy Process ◽  
Financial Risk ◽  
Assessment System ◽  
Fuzzy Analytic Hierarchy Process ◽  
Financial Risks ◽  
Analytic Hierarchy ◽  
The Impact ◽  
Hierarchy Process

Supply chain finance refers to one or more companies upstream and downstream of the industrial supply chain. According to the core company of each node, based on actual transactions, use customized and standardized financing transaction methods to control capital flows or control assets. The right to provide comprehensive financial products and services between supply chain nodes. This article only needs to introduce the financial risk analysis of the enterprise supply chain based on the fuzzy analytic hierarchy process. This paper proposes a fuzzy analytic hierarchy process, which uses a combination of qualitative and quantitative risk assessment methods to assess financial risks, and designs a financial risk assessment system by constructing a fuzzy judgment matrix. It also proposes a comprehensive judgment of the financial risk assessment method. The impact of various risk factors on financial services provides a basis for risk prevention. The experimental results of this paper show that the fuzzy analytic hierarchy process evaluation method is relatively objective and can effectively evaluate the financial risks of the enterprise supply chain. From the weight analysis, it can be concluded that the technical risk weight value is 0.47, which accounts for the largest proportion and is the most important risk.

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.

Integration of analytic hierarchy process and Dempster-Shafer theory for supplier performance measurement considering risk

2014 ◽  
Vol 63 (1) ◽  
pp. 85-102 ◽  
Author(s):  
Kunal Ganguly
Keyword(s):  
Risk Assessment ◽  
Supply Chain ◽  
Performance Measurement ◽  
Assessment Process ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Dempster Shafer Theory ◽  
Supplier Performance ◽  
Shafer Theory ◽  
Hierarchy Process

Purpose – The purpose of this paper is to provide proactive supply chain performance method considering risk which can be used during the supplier selection/assessment process. Design/methodology/approach – In this paper, the effort is to present a model for evaluating the supply-related risk, which is based on the analytic hierarchy process (AHP) method and the Dempster-Shafer theory (DST). The proactive risk management methods used in this research is: seeking risk sources and identifying the variables to be used in the model, preprocessing the variables data to get the directions of the variables and the risk bounds, assigning variables weights via AHP method and finally evaluating the supply risk via DST method and determine the final risk degree. Findings – The paper contributes to research in risk assessment in the specific field of supplier performance measurement. In this paper, a hybrid model using AHP and DST for risk assessment of supplier based on performance measurement is presented. An empirical analysis is conducted to illustrate the use of the model for the risk assessment in supply chain. Research limitations/implications – This methodology can be adopted by supply chain managers to evaluate the level of risk associated with current suppliers, and to assist them in making outsourcing decisions. Originality/value – The proposed method makes a contribution by including risk as a performance measure in supply chain. The generated proactive supply risk assessment process uses a hybrid model of AHP and DST providing a novel approach for performance measurement which will be valuable both to academics and practitioners in this field.

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