As the final stage of product manufacturing,assembly plays an important rolein the manufacturing process. It needs many types and quantities of parts in theassembly process of complex mechanical products, stable and reliable materialdistribution plan and advanced material distribution system to ensure that productmanufacturing achieves just in time (JIT) mode.Manufacturing Execution System (MES) integrates data of planning layer andcontrol layer to provide comprehensive support for transparency of themanufacturing process. Aiming at the problem of the traditional workshop materialdistribution methods which are inefficient and complicated, and lack of support ofreal-time production process information, this dissertation focuses on a materialdistribution system for MES. Firstly, this dissertation sets out the present researchof workshop material distribution and MES-related concepts, A material distributionway facing MES was presented on the basis of analyzing the shortcomings of traditionalworkshop materials distribution process, the optimal material distribution lot-sizingand time are determined the perspective of a maximum efficiency of the entireproduction system. And the crucial method and technology to accomplish amaterial distribution system for MES are expounded. Secondly, according to thefactors of delivery time, number of delivery parts and the state of work places, theoptimal route model of delivery vehicle which goal is making the delivery timeshortest is given, and using Genetic Algorithm to solve the model, it achieves theeffective planning and guidance for the scheduling of the delivery vehicle. Finally,a gear-box assembly line in some enterprises is studied as an example, developingMES-oriented material distribution system to validate the feasibility and validity ofthe theory and method in this dissertation. |