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Prediction Of The Assembly Line Equipment Allocation Ratio And Optimization Of The Production Schedule About The Order Type Clothing Enterprise

Posted on:2005-09-10Degree:MasterType:Thesis
Country:ChinaCandidate:L ZhangFull Text:PDF
GTID:2156360122971106Subject:Costume design and engineering
Abstract/Summary:PDF Full Text Request
Becoming more diversified with fierceness and market demand day by day of the market competition, More and more enterprise choose many variety short run the mode of production come fast adaptation change of market. In the current market, the competitions of enterprises depend on the stock cycle, quality and production cost of the products mainly. Advanced management is realizing in an importance means of above-mentioned goals. The dispatcher is the key content of the production management and key technology, its task is under the circumstances that limited resource of enterprise are restrained, Guarantee that the selected production goal is optimum. The arrangement scheme of the scientific production schedule, for controlling the material in process of enterprises stock, Improve the products and deliver the satisfying rate, shorten the products and supply cycle and raise enterprise's productivity to play an essential role.This text has introduced order type the characteristics of clothing enterprises at first, it is the developing direction of the processing enterprise of the clothing to point out flexibility and process, And it is a development trend too that intelligent technology should play a important role among them, Pass to hot artificial, To their characteristic and defect, this text has proposed that a kind of BP-GA intelligence based on artificial neural network and genetic algorithm mixes algorithms, And has proved the validity of this kind of algorithm through the experiment. Utilize BP-GA intelligence mix between algorithm and order typeclothing equipment allocation ratio of manufacturing enterprise predict that study at the same time, Aim at it through making use of equipment to raise the utilization rate of equipment and installations, reduce the production cost rationally, Among them the introduction parameter of the network is through resolving to every part of the clothing, Find clothing every common characteristic and analyse characteristic and relation of device layout these come and confirm of part, Output function from expert equipment allocation ratio scheme, imply layer form and count and receive through experiment. To predicting that models carried on emulation, the emulation result is satisfactory, proved the feasibility of this method finally.With the development of market economy of our country, the high output value has already no longer been the main goal that enterprises pursue, And produce on time delivering goods on time(Just In Time,JIT) produce and become enterprise win essential condition among market, Whether therefore it reflect JIT thought it is the related to delivery date ana aneaa or time /tow tnere aren't issues oi issue, wnetner tnis text production schedule the ahead of time /last issues of the research states of issue, Have set up a mathematics model of this question, on this basis, use the hereditary algorithm, Whether it is for delivery date the windows under it is the ahead of time /tow because there aren't issues of issue, and must use in computer there aren't emulation. Emulation result indicates , this algorithm is not restricted by scale of question , demonstrate his superiority even more in solving the problem that extensive and complicated, Have offered the favorable tool for MRPII and combination in the production plan of the workshop of JIT thought.
Keywords/Search Tags:Garment, Artificial neural network(ANN), Genetic algorithm(GA), Device layout, Production schedule
PDF Full Text Request
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