Fuzzy Optimization Model Research Of Products Selection And Production Planning Based On Genetic Algorithm

Chlor-alkali chemical industry plays a very important role for China's economic development. Meanwhile chlor-alkali chemical industry is a typical traditional economic development mode, it's against to the tenet of today's sustainable development. There are a mass of waste gas, waste water and waste residue in chlor-alkali chemical industry, and the utilization rate of these waste is not high. Chlor-alkali chemical industry is a resource intensive, gas-guzzling and high pollution industry, as well as one of the most potential industry to develop circular economy.To build chlor-alkali chemical industry development mode based on circular economy is the basis and key for the whole social economy to realize development mode of circular economy.Through the reasonable planning of chlor-alkali chemical products selection and production,and the green control of chlor-alkali chemical production process, a chlor-alkali chemical enterprise can obtain not only the rich economic benefit, but also the environmental and social benefits, and the sustainable development can be realized. In this paper, according to the frontier hot topics of chlor-alkali chemical industry, and combining with the author's many years research of circular economy, a set of valuable model and method system is provided for the sustainable development of chlor-alkali chemical industry. Firstly, Basic concept and theory related to the paper is elaborated, mainly including the circular economic theory, green manufacturing theory, the fuzzy set theory, and the profile of genetic algorithm, which provides theoretical basis for the later research. Secondly, two models of downstream product selection are provided for the problem of how to deal with the by-product in chlor-alkali chemical production process. They are a fuzzy chance-constrained programming model and a fuzzy chance-constrained goal programming model based on credibility measure. And two methods are designed to solve the model. When the fuzzy variables are triangular fuzzy numbers, the crisp equivalent of the model are derived. When the model can't be transformed into a crisp equivalent, a genetic algorithm based on fuzzy simulation is designed for solving the model problem. These two models can be also applied in downstream products selection problem of chlor-alkali chemical industry leading products, and can help decision makers to select investment products. Thirdly, production plan analysis is conducted for the problem of how to product the selected products and main products. A basic multistep and multiple products production plan model and a multi-objective production plan model that considers factors such as energy conservation and emissions reduction are established. Then, a fuzzy expectation goal programming model for the production plan of chlor-alkali chemical downstream products is built. And a genetic algorithm based on fuzzy simulation is designed for solving the model problem. Finally, separately from two aspects of resource consumption and environment impact, the implementation method of green manufacturing for chlor-alkali chemical industry is researched. A multi-objective fuzzy optimization model of resources input is built, and an environmental impact analysis method of the manufacturing process based on ecological indicator 99 is proposed. Numerical examples are presented to illustrate each of the modeling idea and the effectiveness of the proposed algorithms.