Cost-Effective Energy Integrated Production Scheduling in Sustainable Manufacturing Systems

The increasing temperature of the earth has been a major concern to scientist, and the world at large. This increase is the result of huge amount of greenhouse gas emission, which mainly consists of carbon dioxide. The manufacturing sector is considered a major contributor to the carbon dioxide emissions and energy consumption. In the manufacturing sector, many studies have been implemented to conduct energy management, analyze the cost, and optimize production schedule to reduce productivity related cost, energy cost and energy consumption. The related literature has been reviewed. However, these existing studies are usually conducted separately, while the interconnections among the three aspects have rarely been considered. There still lacks an overall cost-effective energy management model that considers minimizing both energy cost and productivity cost. In this thesis, a cost-effective energy-integrated production scheduling model is proposed for a typical manufacturing system with multiple machines and buffers. A mathematical model is developed using Mixed Integer Nonlinear Programming (MINLP). The objective function of the model is to determine the optimal production schedule that can minimize both energy and productivity-related costs in the production system under the constraint of fulfilling production target. A numerical case study is developed to illustrate the efficacy of the proposed model. The results of the model indicate that the energy-integrated production scheduling model can reduce both energy cost and productivity related cost from an overall perspective.