The Configuration Of The Joint Optimization Of Machining Equipment And Buffer Capacity Under Flow-shop Environment

Customized equipment manufacturing enterprises driven by customer order mode of production makes the production process with random factors, such as the number and size of each period order demand uncertainty, products, equipment failures. At the same time, more and more tight customer delivery challenges to the equipment manufacturing enterprise production management. In the multiple constraints demand change, delivery, cost factors, enterprises need to processing equipment and the number of buffer capacity to optimize the configuration, strive to be as low as possible to meet the uncertain investment cost required for a variety of production environment. In this paper, the equipment manufacturing industry as the background, the problem of allocation of manufacturing resources optimization under flow-shop environment. The main research contents and steps are as follows:Firstly, according to the common features of the typical manufacturing unit abstract mathematical model of optimal resource allocation problems. In order to reduce the computational complexity of the model, take the "first, after splitting iterative" strategy, namely the first optimization into two interrelated resource allocation problem resolution sub problems:the ability to optimize the allocation of (CCP, Capacity Configuration Problem), the buffer capacity allocation (BAP, Buffer Allocation Problem), and to establish the corresponding mathematical model in the hypothesis and reasonable under the premise of. Considering the problem in mathematical model of constraint function expression cannot be used in closed form the decision variables to be expressed, using numerical approximation algorithm and queuing network computation constrained performance index.Secondly, resource allocation optimization problem is an integer programming problem, this paper uses a branch and bound algorithm to solve the problem. However, the general principle of traditional branch to produce branch strategy is efficient, which undoubtedly increased the difficulty to solve the problem. The author puts forward the principles of the new branch according to the specific characteristics of the problem, and on the basis of the branch and bound method to construct new. Using the method of CCP, BAP were separate optimization, combinatorial optimization configuration CCP, BAP followed by iterative idea. To verify the practicability of the algorithm, the author of a customized equipment manufacturing enterprises, according to the actual production examples, then the examples are optimized using the branch and bound method. Optimization process using the approximate algorithm, to validate the results, using eM-plant software to build simulation model simulation results and numerical results are analyzed and compared.Finally, with a large domestic customized equipment manufacturing enterprises as the research background, and based on the resource allocation optimization method presented in this paper, a prototype system is designed and developed a set of solving resource allocation problems.Through the above theoretical research and practical application, this paper tries to solve the stochastic environment customized equipment enterprise resource configuration optimization problems in manufacturing, the research results and the conclusions can provide theoretical support and decision-making support necessary for customized equipment manufacturing enterprises in long-term development planning..