scholarly journals Pharmaceutical supply chain risk assessment in Iran using analytic hierarchy process (AHP) and simple additive weighting (SAW) methods

2015 ◽  
Vol 8 (1) ◽  
pp. 9 ◽  
Author(s):  
Mona Jaberidoost ◽  
Laya Olfat ◽  
Alireza Hosseini ◽  
Abbas Kebriaeezadeh ◽  
Mohammad Abdollahi ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Supply Chain ◽  
Analytic Hierarchy Process ◽  
Supply Chain Risk ◽  
Analytic Hierarchy ◽  
Pharmaceutical Supply Chain ◽  
Simple Additive Weighting ◽  
Hierarchy Process

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.

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.

SELEKSI ASISTEN PELATIH BELA DIRI DENGAN PERBANDINGAN METODE AHP (Analytic Hierarchy Process) DAN METODE SAW (Simple Additive Weighting)

2016 ◽  
Vol 1 (1) ◽  
pp. 088
Author(s):  
Wahyu Joni Kurniawan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Analytic Hierarchy Process ◽  
Support System ◽  
Analytic Hierarchy ◽  
Assistant Coach ◽  
Simple Additive Weighting ◽  
Hierarchy Process ◽  
Selection Of ◽  
Discipline Knowledge

This study was conducted to assist in the selection of martial assistant coach, to determine who is right. Its results will didadaptkan by comparing the two methods in the decision support system, by using the Analytic Hierarchy Process (AHP) and the Simple Additive Weight (SAW) in limiting the problems in producing the desired solution, using multiple criteria (multi-criteria). AHP and SAW has a different way of doing the calculation. This is done to determine which method is looking for help in making decisions. And in this study are the criteria Discipline, Knowledge, Leadership, Attitude, and Level. And there are sub criteria on Level, which Black (AND I) and Red Black II.

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