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Supply Chain Risk Assessment Using Fuzzy Logic. 2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES). :246—251.
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2021. Business's strength arises from the strength of its supply chain. Therefore, a proper supply chain management is vital for business continuity. One of the most challenging parts of SCM is the contract negotiation, and one main aspect of the negotiation is to know the risk associated with each range of quantity agreed on. Currently Managers assess the quantity to be supplied based on a binary way of either full or 0 supply, This paper aims to assess the corresponding quantities risks of the suppliers on a multilayer basis. The proposed approach uses fuzzy logic as an artificial intelligence tool that would develop the verbal terms of managers into numbers to be dealt with. A company that produces fresh frozen vegetables and fruits in Egypt who faces the problem of getting the required quantities from the suppliers with a fulfilment rate of 33% was chosen to apply the proposed model. The model allowed the managers to have full view of risk in their supply chain effectively and decide their needed capacity as well as the negotiation terms with both suppliers and customers. Future work should be the use of more data in the fuzzy database and implement the proposed methodology in an another industry.
Vendor Track Record Selection Using Best Worst Method. 2018 International Seminar on Application for Technology of Information and Communication. :41–48.
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2018. Every company will largely depend on other companies. This will help unite a large business process. Risks that arise from other companies will affect the business performance of a company. Because of this, the right choice for suppliers is crucial. Each vendor has different characteristics. Everything is not always suitable basically the selection process is quite complex and risky. This has led to a new case study which has been studied for years by researchers known as Supplier Selection Problems. Selection of vendors with multi-criteria decision making has been widely studied over years ago. The Best Worst Method is a new science in Multi-Criteria Decision Making (MCDM) determination. In this research, taking case study at XYZ company is in Indonesia which is engaged in mining and industry. The research utilized the transaction data that have been recorded by the XYZ company and analyzed vendor valuation. The weighting of Best Worst Method is calculated based on vendor assessment result. The results show that XYZ company still focuses on Price as its key criteria.