The Optimization Of Synergy Effect And Quality Of Service For Prefabricated Construction Service Combination

At present,the global economy is experiencing industrial changes brought by the deep integration of the Internet of Things and traditional industries.As a pillar industry of the national economy,the construction industry must conform to the development trend of the Internet of Things era and realize service-oriented transformation in order to maintain its development vitality in this revolution.In this context,prefabricated construction services are defined as a service-oriented approach to construction that better meets the specific needs of the client.The prefabricated construction process is transformed into an organic combination of construction services with different functions.According to the construction requirements,the construction process is decomposed into concrete deliverable construction service granularity and released to the intelligent construction work platform,on which the construction service is traded.This helps to address the challenges of synergy during the design,production,and construction stages of prefabricated construction,but the relationship between these services is so complex that determining the service combination with the highest satisfaction of the client becomes an important problem to be solved.This paper takes the prefabricated construction service as the research object.Firstly,the prefabricated construction service is systematically sorted out on the basis of literature reading,the synergy effect and quality of service of prefabricated construction service are quantified,and the prefabricated construction service weighted synergy network is established by using the synergy theory and social network analysis method,and then a optimization model of prefabricated construction service combination is developed considering synergy effect and quality of service.Secondly,the global search function of genetic algorithm and the local search function of simulated annealing algorithm complement each other,and an improved algorithm named genetic simulated annealing algorithm is designed.Finally,the genetic simulated annealing algorithm is used to solve the model,and the results are compared with CPLEX,genetic algorithm,simulated annealing algorithm and particle swarm optimization algorithm.In addition,the extensibility and stability of the genetic simulated annealing algorithm under large-scale service composition problem are proved by extension analysis.The results show that the error between genetic simulated annealing algorithm and CPLEX is minimal.Compared with other intelligent algorithms,the genetic simulated annealing algorithm has the best objective function and synergy effect,and produces more efficient service combination schemes.Moreover,the algorithm is at a lower level in convergence time and convergence iteration.When the number of prefabricated construction services is increased,the objective function of service composition scheme is enhanced.The proposed model enables project managers to clarify the interactions of the prefabricated construction process and provides guidance for project collaborative management.In addition,genetic simulated annealing algorithm helps to improve the probability of successful synergy between potential partners,therefore enhancing client satisfaction.