Abstract
Textile industries are consistently faced with the challenges of producing top-notch goods all the while increasing productivity, eliminating waste, and maintaining high-quality standards. To increase productivity, a manufacturing execution system is computerized systems used in manufacturing, to track and document products from raw materials to finished goods. In addition, programmable logic controllers are applied to monitor dyeing machines status and production conditions. When monitor and operational data were stored and managed by different divisions, each using different software and management tool, the disparate data system has unique validation rules, formats, and key identifiers. In textile industry, to prevent chromatic aberration in dyeing process, the dyeing machines need to be cleaned when material change, color is different or color depth from deep to shallow, and it can be very difficult for different divisions to exchange information and become information silos. The purpose of this paper is to integrating information for scheduling the dyeing machines and using business process re-engineering to improve textile dyeing process, accordingly. In order to effectively construct a business process modelling. One of the widely used techniques is process maps. The model combined data from manufacturing execution system and machine monitors system to reorganize the process of dyeing machine scheduling, and Euclidean norm is applied to calculate RGB color distance as identifying clean boundaries to decide whether the consecutive two jobs in production scheduling that required to clean or not. The accuracy of the proposed calculation for clean boundaries is 89%.