A Decision Support System for Supplier Selection - Nguru, Wilson
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The problem of evaluation and selection of suppliers involves many factors with multiple attributes. The fuzzy set algorithm is one of the most efficient artificial intelligence (A.I) tools used to capture and resolve such problems. The current methods of selecting the right supplier(s) largely take considerable amount of time and associated manpower costs. We believe that one way to reduce this cost is to use an automated decision support system based on fuzzy logic. This may reduce the wastage in the supply chain and contribute towards business process improvement in the organization.

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Produktbeschreibung
The problem of evaluation and selection of suppliers involves many factors with multiple attributes. The fuzzy set algorithm is one of the most efficient artificial intelligence (A.I) tools used to capture and resolve such problems. The current methods of selecting the right supplier(s) largely take considerable amount of time and associated manpower costs. We believe that one way to reduce this cost is to use an automated decision support system based on fuzzy logic. This may reduce the wastage in the supply chain and contribute towards business process improvement in the organization.
Autorenporträt
Wilson Nguru is a professional Engineer with passion on expert systems with a more than 15 years experience in active practice. This book tries to establish how we can automate supplier selection in supply chain management.