Research On Material Delivery Scheduling Optimization In The Mixed Flow Manufacturing System

With the development of science and technology, the improvement of productivity and consumption standard, the customers'demands is becoming diversity. It makes that the enterprises take more consideration on how to shorten the production period using the current technology and improve the response to the demand of market rapidly. The delivery of logistics is the key point in the production process to guarantee production.In this dissertation, the manufacturing workshop as the study object, the JIT management as guidelines, and the advanced manufacturing theories as crucial technology, the material delivery scheduling method in the manufacturing process of workshops is researched. With the methods of material delivery flow analysis, model construction, algorithm designing, associated schedule plans and the implementation and monitory of management, how to arrange the production plans reasonably, schedule the vehicles legitimately, and strengthen the ability of uncertain interference against field operations are discussed in order to meet the flexible requests of materials along the production lines. It has the contribution to improve the field material management and reduce the cost of operation.First of all, the main problem in the mixed-model manufacturing shop on material delivery is introduced, and the characteristic of material delivery under typical mixed-model production patterns and JIT patterns is analyzed. According to the theoretical researches, the different types of material distribution problems have been classified, and the scope of our researches has been defined.Secondly, surrounding the core problem of material delivery optimization in mixed-model manufacturing workshop, related optimization scopes, technology and optimization algorithms are studied in deep going way as follows.(1) According to the problem of theory detached from practice in the material delivery, the characteristic of mixed-model manufacturing is analyzed, and the problems of material delivery with the constraint conditions of time window, vehicle capacity, restricted vehicle waiting time and service time are researched. In this process, the path planning model under the decomposable condition is discussed to increase the vehicle capacity rate. The theory of Poincare hyperbolic geometry is used to reduce the complexity of the large scale material delivery problem. In addition, a modified genetic algorithm is designed to resolve this kind of problem.(2) Fuzzy multi-objective optimization of material delivery has been studied in this dissertation. The fuzzy numbers in fuzzy theory are used to describe the uncertainties of material requirements in every workstation, vehicle scheduling between workstations and material requirement time window. The multi-objective fuzzy chance constrained programming model involving multiple uncertain factors is built. To solve the model, the relative membership degree of adjacent objectives is introduced to determine the trade-off between objectives, and a small optimization algorithm based on "six degree of separation" is designed which can quickly get the robust material delivery solutions.(3) The global optimization method of material delivery scheduling including optimization of plan sequencing, assembly line inventory and vehicle scheduling is researched. A level scheduling material supply model is constructed according to production plan sequencing. A line inventory control strategy is designed to optimize the material delivery requirement with the material consumption rate of line. The goal of improving distribution efficiency can be achieved with the optimization of vehicle scheduling. On the basis, how to optimize the plan sequencing of mix-model line is investigated using multichannel buffer. And the theory could be applied on the automation lines to guarantee the proportionality of line inventory material consumption.(4) The MES of the business car assembly line in JAC is designed and developed independently. The system architecture, and the design method and characteristic of material delivery functional module are introduced. Demonstrates and the application effects of the project has been shown in the final section.Finally, the whole work in this dissertation is summarized and the research work in the future is pointed out.