Research On Project Management Performance Enhancement Of Prefabricated Building Construction Under Uncertainty

Prefabricated building construction is a new type of building construction method,by integrating the supply chain of design,production,and assembly,it can realize the energy saving,the environmental protection and higher economic efficiency,realize design standardization,component productization,construction mechanization.Although the prefabricated building construction industry in China is undergoing continuous development,due to the low technical maturity of standardized design,factory production,and construction assembly,the production of prefabricated components and the on-site assembly construction process are affected by many uncertain factors.Research on project management performance enhancement of prefabricated building construction under uncertainty can effectively help enterprises to overcome the influence of various uncertain factors in the production of prefabricated components and the onsite assembly construction process,help enterprises to organize project participants to work together,optimize project resources,improve production and assembly efficiency,ensuring project quality and safety etc.,enhance the project management performance of prefabricated building construction.In this research,for the first time,a novel perspective how uncertain factors influence the implementation of prefabricated building construction projects is presented for analyzing the reasons affecting the management performance of prefabricated building construction projects,taking the considerations of fuzzy theory,production scheduling,project scheduling modeling and optimization methods,as well as real-time monitoring technology of Io T.The topics and contributions of this dissertation are included:(1)A new theoretical model of project management performance enhancement is proposed regarding the uncertain factor effects in the implementation of prefabricated building construction projects.The project management performance indicators,including implementation time,cost,and quality with safety,are considered in combination with three regards of project process management ability,adaptability to uncertain environment,and collaboration ability of project participants to identify the factors that influence the performance enhancement of prefabricated building construction project management.To demonstrate the influence of the uncertain factors on the performance enhancement of prefabricated building construction project management,two aspects are discussed in detail,including case study and quantitative analysis,respectively.The result indicates that some uncertain factors in production and construction constraint the implementation time,cost,quality and safety of prefabricated building construction projects.Note that implementation time is significantly affected by prefabricated component production scheduling,on-site assembly construction scheduling and project resource utilization efficiency.Moreover,the cost can be affected by the last two factors mentioned above.(2)A novel optimization model of prefabricated components production scheduling is presented for minimize the influence of prefabricated component production scheduling on project period over the perturbation of processing times of the task.To handle uncertain processing time problems in real-life project management of prefabricated components production,two key specifications can be taken into account;firstly,the model’s fuzziness and secondly,the optimization.Creating a fuzzy prefabricated components production scheduling model by using fuzzy theory to express the uncertainty of processing times in interval values and then providing an appropriate optimal solution for these two specifications are performed in this study based on cooperative co-evolution evolution algorithm(CCEA).A real case study of precast component production scheduling under processing time disturbance demonstrates the feasibility and applicability of the presented model in real-world circumstances,which shows the capability of shortening project period and decreasing the effects of processing time delay on project completion time.(3)As implementation time and cost strongly depend on the on-site assembly construction scheduling,and since the processing time of a task depends on the available resources assigned to this task,this research explicitly take into account this relationship and propose an optimization model for on-site construction project scheduling.The relationship between time and amount of resources has been mainly analysed by using fuzzy theory to express the uncertainty of processing time in interval values.In this research,a new project scheduling approach is developed to deal with interval-valued fuzzy multi-objective and multi-mode mathematical models.Furthermore,to solve the multiobjective model with processing times uncertainty,a new effective compromise optimization approach is presented based on hybrid cooperative co-evolution evolution algorithm(HCCEA).This utility model is carried out in 9 prefabricated housing projects of a real case.Now,the results of solving multi-objective model in this case study by the proposed project scheduling optimization approach are shown shorter duration and lower cost over the perturbation of both processing times and available resource,as well as lower impact of processing time delay and resource changes on project completion time.(4)In this research,the multistage dynamic process control is analyzed under the realtime monitoring of Io T,which include component production stage and construction assembly stage.This new approach monitors the changes of uncertain factors in production and construction to solve the proposed multistage dynamic process control based on the Io T technology.Once processing times or available resource can not satisfy the constraint,a new dynamic optimization task is started to generate a new schedule.To show this new model,we take into account an example of a real prefabricated housing project.In this case,the perturbation ratio of both processing times and available resource is set to 10% 30%.The results obtain highlight an important improvement of the project management performance by the proposed model.In this research,a new integrating mathematical model is proposed for the combination of optimization problems considering production scheduling,construction assembly and dynamic process control with a new perspective of prefabricated building construction management performance.To do so,the developed model aims to promote the project management performance in an uncertain environment by perturbing the processing times and available resource using various heuristics.The innovations of this dissertation are included:(1)A fuzzy prefabricated components production scheduling model is proposed.Considering the uncertain processing time problems in real-life project management of prefabricated components production,a fuzzy prefabricated components production scheduling model is created by using fuzzy theory to express the uncertainty of processing times in interval values,which offsets the drawback of considering only certain processing times in traditional production scheduling;(2)A multi-objective multi-mode resource-constrained construction project scheduling model with fuzzy activity durations is proposed.A new project scheduling approach is developed to deal with interval-valued fuzzy multi-objective and multi-mode mathematical models,which offsets the lack of simple assumptions in traditional project scheduling model.The relationship between time and amount of resources has been mainly analysed by using fuzzy theory to express the uncertainty of processing time in interval values;(3)A multi-stage dynamic process control model is proposed.Instead of static scheduling,a new dynamic scheduling approach is proposed to solve the optimization problems in prefabricated building construction management based on the Io T technology.Once processing times or available resource can not satisfy the constraint,a new dynamic optimization task is started to generate a new schedule;(4)A cooperative co-evolution evolution algorithm is proposed.Due to the complexity of the integrated model,an optimization algorithm based on cooperative co-evolution evolution algorithm is proposed for finding the optimal solution.In the novel proposed mathematical model,the constraints of actual prefabricated building construction project management are added,as well as the mathematical expression of uncertainty factors is considered.In this research,a project scheduling and algorithm optimization problem in prefabricated building construction project management has been integrated.Moreover,we believe that this research can be an excellent theoretical basis for practical practitioners to explore project management decision-making in the field of prefabricated building construction.