Model of Knowledge-Based Process Management System Using Big Data in the Wireless Communication Environment

For any small and medium-sized manufacturer, delivery deadline compliance and quality assurance are the most important factors for their survival. And, for the compliance to delivery deadline, the SCM system that integrates the manufacturing process covering from the material purchase to the product release and the demand process covering from the logistics to the sales process is required. To guarantee the manufacturing quality, a system that maintains the optimized rate-of-production by responding in advance to any fault occurrence in the process and/or the facility is required. The big data analysis technology that is required to provide the decision support system optimized for the analysis based manufacturing management for small and medium-sized manufacturers greatly in need for their survival and competition has been introduced. This study aims to develop a model of knowledge-based system for manufacturing facilities optimization specialized for small and medium-sized manufacturers by collecting and analyzing data generated in the supply chain networks and manufacturing facilities of small and medium-sized manufacturers. This study proposes the development of knowledge-based process management system for the survival and the competitiveness improvement for small and medium-sized manufacturers in very weak business conditions. Specifically, the proposal is on the development of system and its service model to support the decision on the manufacturing process management by providing high level knowledge through the data analysis on manufacturing facilities of small and medium-sized manufacturers.