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Manufacturing enterprises through effective use of the factors of production to provide the community with a variety of products and services to meet the diverse needs of the people. Assessment of the production capacity to meet this demand has a very important role for the development of an enterprise, production yield is an intuitive reflect production capacity. Production yields the number affected by many factors, can be summarized in six areas: man, machine, material, method, ring, measuring, people, machines, material inputs, production methods, production environment, testing. These six aspects are directly or indirectly affect the implementation of the production yield, but also between them affect each other. Find production and human, machine, material, method and environment, the relationship between the measurement is a very useful topic in the actual production, the traditional approach is through experience looking for yield and six aspects of a relationship that is one-to-one mapping relationship, and the production is by a factor of six combined effects of, so this one-to-one mapping relationship is often not accurate enough. An effective way to improve accuracy in order to find the many-to-one function of man, machine, material, method, measured as a function of the independent variables, the production yield as a function of the dependent variable, a function for each additional independent variables, the higher the accuracy of the predicted dependent variable. On-site production is often very complex, a considerable number of random factors, it is difficult through the traditional method only by virtue of experience to create a many-to-one function of a mathematical model is even more difficult. Gray-box modeling approach using the least squares method is based on empirical data modeling methodology, First of all, according to the Taylor expansion of the functional relationship of the independent variables and the dependent variable of type structure, according to accuracy requirements can decide to expand the number of times; Then through the acquisition of a large number of observational data, to optimize the method for training to be solved in order to determine which of the parameters for the structure function, so you can meet the accuracy requirements of many-to-one function relationship. Lean manufacturing is just-in-time production and JIT (Just In Time) production methods praise call, just-in-time production of the essence when needed to produce the desired product, the elimination of all waste and inventory, including the middle in a quiescent state in the middle of the products that in the library. Eliminate intermediate production in the library's manufacturing unit (called section) should be coordinated progress to be synchronized, considerable production capacity. When changes in production plans, the mathematical model to the Section of Science and staffing, machinery, and materials to ensure competence between each section; monitoring of the production process, and timely adjust the parameters according to the mathematical model in order to achieve production process synchronization, so that you can achieve lean production requirements. The paper select box processing section, the traction sheave finishing section and run-in section three section object as above theory to practice, through before production accumulated data, using gray-box modeling method to establish the Section of production and human, machine , as a function of material (due to the production method, production environment and the measurement can not be quantified, so the last selected people, machines, materials as a function of the independent variable). Finally, in accordance with the principles of the function of lean thinking to adjust the size of various parameters, namely, the configuration of the machine, material, and ultimately eliminate the middle of the purpose of the library.
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