The Open Automation and Control Systems Journal

2014, 6 : 1593-1603
Published online 2014 December 31. DOI: 10.2174/1874444301406011593
Publisher ID: TOAUTOCJ-6-1593

Research on Green Process Optimization Method based on Local Optimization of Process Feature

Song Yuchuan , Zhou Jianbin and Lei Qi
College of Mechanical Engineering, Chongqing, 400030, China.

ABSTRACT

The green process was a necessary research field of the green manufacturing, which has drawn increasing attention from many scholars. This paper proposes a method to optimize green process routes based on local optimization of process feature and establish the green process databases for specific product range for the purpose of promoting the practicability of green process. For a range of products, the process features and process schemes are first focused on to build green process databases to support the process route optimization. Then with Leonid Potter interaction matrix model, each process route in the original set is evaluated separately and the process routes to be optimized and the "problem" processes are located. Later a model of optimizing the process elements is established to conduct the local optimization of the “problem” processes based on process features. Ultimately the optimal green process route is selected from the set of the optimized process routings. By an example, the method is verified to be feasible and efficient.

Keywords:

Process planning, database, evaluation, optimization.