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Study On Optimized Production Management System For Reinforced Precast Concrete Components On Multiple Production Lines

Posted on:2018-10-03Degree:DoctorType:Dissertation
Country:ChinaCandidate:Z T YangFull Text:PDF
GTID:1362330566487892Subject:Civil engineering
Abstract/Summary:PDF Full Text Request
The cast-in-site construction method is widely used in the construction industry,which results in low labor productivity,low quality,serious resource waste and terrible environmental influence.Promoting green buildings by using precast construction is considered as a sound approach to solve the problem.Production of precast reinforced concrete components(precast production for short)is the key for precast construction.Moreover,the optimization of precast production is beneficial for improving the quality and guaranteeing the on-time deliveries,which is crucial for the quality and period control of whole construction project.However,limited by the existing management methods,the management of precast production is still suffering from unoptimized decisions,large waste of production capacity and late feedback,which results in late deliveries and consequentially construction delay and additional expenses.Building information modeling,genetic algorithm and radio frequency identification make it possible to solve the problem.This research is aim to propose a method to optimize scheduling and control of flowshop precast production and develop the optimized production management system for reinforced precast concrete components to improve management efficiency by using the aforementioned information technologies.First,based on the result of literature review and field studies,the current process,methods and issues of the management of precast production is summarized.Second,based on the potential of the new technologies,the process of precast production is improved.The business model of the system is established based on the improved process and hence the requirements of the system are achieved.Third,the method and algorithms of the management of precast production is developed to release the crucial requirements,which include the optimized flowshop scheduling algorithm,optimized control method of production schedule and vehicle routing algorithm for redispatching parts of precast components for precast production.The first algorithm is to make flowshop schedules satisfying multiple optimization objectives and constraint.The method is to track the precast components in real time during their production,storage,transportation and assembling and adjust the schedule optimally for any emergencies by comprehensively using the spare production capacity.The second algorithm is to plan the vehicle route for redispatching parts of precast components due to schedule adjustment,which is beneficial for improving the redispatch efficiency and reduce the period for production preparation.In all the method and algorithms,genetic algorithm is used to obtain the optimum solution efficiently.Finally,based on the requirements,the method and algorithms,the aforementioned information technologies are used to develop the optimized production management system for precast concrete components and the system is validated by using the data of a real project.The achievements of the research are beneficial for improving the management performance of precast production.The proposed system can optimize the schedules of precast production and make full use of production capacity in the precast plants,which helps to improve the production efficiency and reduce the production cost.Moreover,the system can track the precast components from production to assembly and adjust the production schedules optimally for emergencies,which is beneficial for improving the management effect of precast production,lowering the risk of late deliveries,reducing the dependence on quantity of inventories and consequentially controlling the production cost.
Keywords/Search Tags:precast production, production management system, production scheduling and control, vehicle routing, genetic algorithm
PDF Full Text Request
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