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

Chen, Y.; Chiu, Y.

Growing Science » Uncertain Supply Chain Management » Enhancing business intelligence for supply chain operations through effective classification of supplier management

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Uncertain Supply Chain Management

ISSN 2291-6830 (Online) - ISSN 2291-6822 (Print) Quarterly Publication Volume 2 Issue 4 pp. 229-236 , 2014

Enhancing business intelligence for supply chain operations through effective classification of supplier management Pages 229-236 Download PDF

Authors: Yee Ming Chen, Yu-Pu Chiu

Keywords: Classification, Clustering, Type-2 Fuzzy

Abstract: 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.

How to cite this paper

 Chen, Y & Chiu, Y. (2014). Enhancing business intelligence for supply chain operations through effective classification of supplier management.Uncertain Supply Chain Management, 2(4), 229-236.

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