Research On Framework And Key Technologies Of Green Process Optimization Method Based On Local Optimization Of Process Feature

As the green manufacturing has gradually become the inevitable development trend ofthe manufacturing industry, it becomes more and more important and urgent formanufacturing enterprises to implement green manufacturing to remain competitive.Green technology is the focus of green manufacturing. Improving the green property ofmanufacturing process makes great contributions to increase the level of resourceutilization, reduce the negative impact of the production process on the environment andperfect employees’ occupational health and safety conditions. However, mostenterprises today can hardly put green technology into practice. On the one hand, thecurrent green technology research mainly focus on theoretical research, rarelycombining with the actual situation of enterprises, and the green technology in theoryhas so many difficulties to be truly put in application. On the other hand, lack of perfectcases of implementing green technology successfully in application and the supportingdata and knowledge, which makes the enterprises feel that green technology will bevery complex and a huge investment and risk will follow also prevents greentechnology from prevailing.Thus, on the basis of the previous theoretical study of green technology, the paperaims at the difficulties and shortcomings of green process in the actual application andproposes a kind of green process optimization method based on local optimization ofprocess features, which is conceived to be more suitable to practical application. Thenthe thesis conducts a deep research in some key technologies involved in this methodand a green process prototype system is designed to help companies use green processand improve the green property of manufacturing process relatively simply andefficiently.First, several basic issues in enterprise application of green technology arediscussed. On basis of this, green process optimization method based on localoptimization of process features is put forward. Then the thesis describes its connotation,feasibility and advantages, shows the framework and summarizes the key technologiesinvolved. At the same time, the overall implementation process of the method isdiscussed.Secondly, an in-depth research on the critical technologies involved is conducted.In order to simplify the construction of green technology support database, the method focuses on specific enterprises to build the database and constructs the structure of thedatabase system and database tables of green technology. With fuzzy comprehensiveevaluation method combined with analytic hierarchy process, the paper evaluates theprocess routings, then analyzes the evaluation results through Leon Porter interactionmatrix to identify and locate the “problem” processes in process routings. Thetheoretical model of green technology based on local optimization of process features isestablished and the mathematical optimization model based on ant colony algorithm isgiven. The taboos standards, transition probability and pheromone update rules of thisalgorithm are also determined. Until now the optimization of process routings is able tobe conducted with this algorithm.Finally, on the foundation of the above study on basic methods and keytechnologies, the paper establishes a green process optimization prototype systemcombined with the enterprises’ actual demand. By put in production process in RedRiver Machinery co.ltd, Chongqing, this optimization method is proved to have theabilities to evaluate, analyze and optimize the process routings, and eventually improvethe green property of the manufacturing process.