| Network collaborative manufacturing is an important measure to implement the outline of national innovation-driven development strategy and the 13 th five-year plan for national science and technology innovation,an important means for manufacturing enterprises to welcome the revolution of digital transformation,and an important way to build a deep integration of manufacturing industry and the Internet.With the accelerating pace of economic globalization,the collaborative and cooperative production mode among manufacturing enterprises has been more and more widely applied.Traditional enterprise manufacturing and resource scheduling internal configuration mainly exists in a single plant or workshop,and network in collaborative manufacturing,enterprise product manufacturing distribution in the different area workshop will cover parts processing and assembly process,taking into account how to unify,product processing and assembly process,the distribution in the different regions of workshop production resources optimization scheduling,to achieve the optimal allocation of distributed manufacturing resources of workshop is one of the key problems to be solved.Therefore,it is of great theoretical significance and engineering value for manufacturing enterprises to optimize resource allocation,improve production efficiency and reduce production cost to study the comprehensive scheduling technology of processing and assembly in distributed workshops under the constraints of product assembly,so as to provide technical support for the high-quality development of manufacturing enterprises.This paper makes use of distributed workshop manufacturing resources to study the comprehensive scheduling problem of product processing and assembly.The main contents of the study are as follows:First,build a kind of based on the requirement of machining and assembly,contains five ability of equipment capacity model,from the aspects such as technology,economy and logistics capability to evaluate distributed more workshop equipment resources,set up an equipment capability matching principle,and according to the requirement of the machining process matches the collection to meet the requirements of production equipment.Secondly,the distributed multi-shop cooperative scheduling problem with single index constraint is studied.Proposed the concept of entrust process,on the basis of considering transportation constraints,completion time for the minimum as the target,set up a commissioned process based on the distributed collaborative workshop integrated scheduling model,and designs the teaching optimization algorithm,a hybrid adaptability is not strong,the algorithm effectively solves the algorithm to solve the small settlement of such problems as lack of diversity.Thirdly,the distributed multi-shop cooperative scheduling problem with multi-index constraint is studied.To the actual production environment comprehensive scheduling problem of distributed collaborative workshop completed time constraints,delivery time and transportation constraints make a comprehensive consideration,a completion time is established,tardiness,and minimum total cost(including the cost of logistics)as the goal of a multi-objective optimization model,at the same time,the design of the optimization algorithm,an improved multi-objective teaching effective to solve the optimization model.Finally,taking a Marine diesel engine heavy parts manufacturing enterprise as the engineering application background,combined with the research results in this paper,a set of distributed multi-workshop cooperative scheduling system based on MES was developed,and the distributed multi-workshop cooperative scheduling model and solving algorithm proposed in this paper were verified.The system improves the execution efficiency of the production plan in the workshop and shortens the production cycle of the products. |