Enhancing business intelligence for supply chain operations through effective classification of supplier management

Abstract

Article history: Received December 10, 2013 Received in revised format 25 June 2014 Accepted July 17 2014 Available online July 19 2014 Global supply chains have to manage production over the whole world. Therefore, production plants are needed to supply the demand of products and parts. Due to complication and uncertainty of production market, portfolio selection is one of the most challenging problems. Type-2(T2) fuzzy is a model, which provides the ability to handle the effect of uncertainty. Aiming at this problem, we propose a T2 supplier management system operation scheme, which not only employs fuzzy C-Means clustering algorithm by dynamically increasing cluster center, but also it achieves good classification performance. The key result is that fuzzy classification applications improve the planning and operating of supply and demand in a distributed production and global supply chain. © 2014 Growing Science Ltd. All rights reserved.