Enhancing business intelligence for supply chain operations through effective classification of supplier management
Yee Ming Chen, Yu-Pu Chiu · Uncertain Supply Chain Management · 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.