Research On Printing And Dyeing Production Scheduling Technology Based On MILP

Printing and dyeing industry is an important part of traditional manufacturing inChina, the increasingly fierce market competition environment and requirements ofgreen production are restricting the development of printing and dyeing industry inour country. Enterprises need to transform from traditional to modernization andinformatization. Only by optimizing industrial structure and striving to improveproduction capacity, can an enterprise survive and develop in the fierce competitionenvironment. Production management plays an important role in the whole enterprisestructure, reasonable and effective production plan can not only save productionresources and reduce cost, but also help to reduce the environmental load and energydemand. For a long time, scheduling in most of the printing and dyeing enterprises isdone by manual, generally it cannot allocate production resources effectively, thepurpose of this study is to provide theoretical guidance for the shop schedule deciderto make a more reasonable and more effective schedule.The main works of this study are as following:1. The production scheduling problem is analyzed and classified at first. Theresearch history, current situation and development trends of production schedulingare reviewed.An overview about production characteristics and scheduling methods ismade.2. After introducing the dyeing and printing process and analyzing it’scharacteristics briefly, an MILP mathematical formulation, which is based on acontinuous time domain representation, is proposed for the static scheduling ofprinting and dyeing plants. Two case are successfully tackled on the ILOG OPLStudio and the results are given in the form of Gantt chart.3. Considering unforeseen disruptions in practical production, apredictive-reactive scheduling method is proposed. A dynamic scheduling modelwhich is evolved from the static one was presented. This model also employs acontinuous time representation. A large-scale case study involving unexpectedequipment breakdown and new orders arrive is successfully tackled and demonstratesthat the proposed solution is feasible and effective.