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Recent Trends in Supply Chain Management: A Soft Computing Approach

  • Sunil Kumar Jauha
  • Millie Pant
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 202)

Abstract

Increasing globalization, diversity of the product range and increasing customer awareness are making the market highly competitive thereby forcing different supply chains to adapt to different stimuli on a continuous basis. It is also well recognized that overall supply chain focus should be given an overriding priority over the individual goals of the players, if one were to improve overall supply chain surplus. Therefore, supply chain performance has attracted researcher’s attention. A variety of soft computing techniques have been employed to improve effectiveness and efficiency in various aspects of supply chain management. The aim of this paper is to summarize the findings of existing research concerning the application of soft computing techniques to supply chain management.

Keywords

Computing Supply chain management Genetic algorithm Fuzzy logic Neural network 

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Copyright information

© Springer India 2013

Authors and Affiliations

  1. 1.Indian Institute of TechnologyRoorkeeIndia

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