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Model Research And Application Of Order Management And Production Scheduling For Multi-variety Variable Green Manufacturing

Posted on:2020-03-29Degree:MasterType:Thesis
Country:ChinaCandidate:P Z CuiFull Text:PDF
GTID:2439330590972567Subject:Systems Engineering
Abstract/Summary:PDF Full Text Request
At present,the manufacturing industry is facing more and more diversified market demand,which makes the multi-variety variable production mode based on customer order occupy a large proportion in the enterprise.In the process of selecting order production as the mainstream mode of use,the order arrangement and production orders scheduling of enterprises have become two very critical problems to be solved urgently.At the same time,the concept of sustainable manufacturing makes it necessary for enterprises to cope with the transformation of the mode on green manufacturing and cleaner production.Taking the above present situation of manufacturing industry as the research background,considering the green manufacturing production mode,constructing the mathematical model and algorithm of order arrangement and production orders scheduling,this paper provides theoretical support for the improvement of production efficiency and economic benefit of manufacturing enterprises with multi-variety variable batch as the main production mode while solving these two key problems of enterprises.The research of this paper is mainly carried out from the following three aspects.Firstly,the construction of order arrangement mathematical model based on green manufacturing and resource constraints,taking into account the various costs related to production,the enterprise's production order volume and external order volume as decision variables,through the design of the algorithm,the multi-cycle customer orders are divided into two parts of production orders and foreign association orders.In the construction of the model,considering the competitive index and the green index,the sustainability of the manufacturing is guaranteed on the basis of realizing the optimal comprehensive benefit of the enterprise.The mathematical model of order arrangement based on green manufacturing and resource constraint is used to design the method of solving the model by genetic algorithm.Secondly,aiming at the multi-cycle production order under the result of multi-variety variable batch customer order arrangement,the fine scheduling strategy based on time separation,mass production,parallel operation,crossover operation and extrusion operation is developed,and according to these scheduling strategies,the mathematical model and solving algorithm of production scheduling are constructed.The model conclusion is that an asynchronous solution method combining improved multi-objective genetic algorithm and ideal solution is used to obtain a scheduling scheme based on green manufacturing to guide production under the condition of ensuring delivery period and minimum cost.Thirdly,aiming at the order arrangement,production orders scheduling model and solving algorithm of green manufacturing,the effectiveness of order arrangement,scheduling model and solving algorithm is verified by taking the machining enterprise which is mainly multi-variety variable mass production mode as an example.Firstly,for multi-cycle customer orders,consider manufacturing resource constraints,to achieve the reasonable allocation of customer orders in different cycles,and through comparative analysis to confirm the need for green manufacturing and order outside the association,verify the rationality of the model and algorithm.Secondly,for the order after the arrangement of production orders.Using the production scheduling model and solving algorithm considering green manufacturing,the scheduling process of production order is completed,and the validity of the method is verified by the comparison and analysis of different batch scheduling.Finally,the comprehensive competitive index and green index are given,and the green dispatching scheme is presented to provide theoretical guidance for the production practice of enterprises.
Keywords/Search Tags:Multi-variety variable batch, order arrangement, production orders scheduling, genetic algorithm, multi-objective algorithm
PDF Full Text Request
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