Designing an Intelligent Learner Genetic-Fuzzy Model for an Oil Industry supply chain on the basis of Self Organized Maps

摘要

The complex challenges and requirements involved in Supply Chain Management (SCM) have forced relevant practitioners to seek out alternative and innovative methods of handling the process. The best of these methods have shown themselves highly flexible in enabling decision makers to adjust their programs in line with 'real' conditions and contingencies, and formulate sound strategy. Within SCM, problems of distribution and allocation are of paramount significance. This paper addresses such problems directly by recommending the adoption of a model that is specifically designed to recognise the need for flexibility in Distribution Systems, while helping to cope with the uncertain parameters impinging on the strategic decision making process.