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Research And Application Of Resource Allocation For Building Material Equipment Enterprise

Posted on:2018-10-04Degree:MasterType:Thesis
Country:ChinaCandidate:W Z ChenFull Text:PDF
GTID:2382330596954448Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
Building material equipment manufacturing industry is characterized with industrial features of unit,small-batch and discretization manufacturing and manufacturing resource distributing widely.As a pillar industry for nation-building,the industry is facing the problem of resource sharing and allocation of general manufacturing enterprise.Based on economic benefit of manufacturing requirement,how to achieve transformation and upgrading of enterprise,realize the goal of optimal allocation of manufacturing resource quickly and provide high quality manufacturing service has become main focus of building material equipment manufacturing enterprise to improve competitiveness of market.As a kind of new manufacturing mode based on cloud computing and serviceoriented,Cloud manufacturing,which provides safe and high quality service for the whole lifecycle including analysis,design,manufacturing and assembly under enterprise order demand,can work fine for resource sharing and information transmission of building material equipment enterprise,and solve the problems of lack of resource and shortage of manufacturing capacity.With object of building material equipment enterprise,this paper analyzed manufacturing resource sharing of building material equipment enterprise in cloud manufacturing mode,built a demand-oriented manufacturing enterprise resource optimal allocation model,and designed manufacturing resource allocation prototype system for building material equipment enterprise.Main research contents and work are shown as follows:(1)The characteristics of production management and business process of building material equipment enterprise were analyzed.Also the problems of uneven allocation and low allocation efficiency in the aspect of resource management and allocation of building material equipment enterprise were pointed out.According to the problem of resource allocation,manufacturing resources of building material equipment enterprise were classified.And Combined with characteristics of cloud manufacturing mode and simulation of cloud platform distributed resource aggregation,virtual description and definition of resource of building material equipment enterprise were carried out with ontology based on Web semantic.Finally,resource optimal allocation frame of building material equipment enterprise in cloud manufacturing mode was studied,which provides basis for establishment of resource allocation model.(2)The combinatorial optimization evaluation target system of resource including time,cost,quality and service satisfaction was advanced,which is contributed to building the mathematical model of resource optimal allocation for building material equipment manufacturing enterprise.The model was solved by improved genetic algorithm based on target weight determined by entropy TOPSIS method and comparison of history resource allocation schemes.And the sorting of manufacturing orders was under the standard of contribution degree.With matlab,a reasonable solving strategy of resource allocation for building material equipment enterprise was provided with the overall simulation process of resource selection and optimal allocation model.(3)The resource management system requirement of building material equipment enterprise was analyzed to confirm development environment,overall architecture and main function module framework.According to mathematical model of manufacturing resource optimal allocation and cloud platform,a prototype system of resource allocation for building material equipment enterprise was built,which was tested and run in some building material equipment enterprise and verified practical value in terms of resource storage,allocation and manufacturing management.
Keywords/Search Tags:building material equipment enterprise, cloud manufacturing mode, resource optimal allocation, improved genetic algorithm
PDF Full Text Request
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