This paper considers the incentive and coordination problem of the construction supply chain consisting of the owner,general contractor,subcontractors and suppliers based on the sustainable development goals under unc...This paper considers the incentive and coordination problem of the construction supply chain consisting of the owner,general contractor,subcontractors and suppliers based on the sustainable development goals under uncertain environment.Firstly,according to the general contract management pattern and the relationships among those participants,we establish an uncertain bi-level nonlinear model in which the owner set the proper intensities to minimise the total cost at first while the general contractor decides its alternative and the limits to subcontractors correspondingly.Then,we convert the primal model into a deterministic bi-level nonlinear programming model based on the concept of relative robustness.Next,a solution procedure combing interactive fuzzy technique and genetic algorithm is designed.Finally,the validity of the model is verified by a numerical example.Our paper provides a method to optimise the construction project management from the perspective of supply chain under the requirement of sustainable development.展开更多
基金The authors appreciate the support provided for this paper by the National Natural Science Foundation of China(Project Nos.71471123)the Fundamental Research Funds for the Central Universities(Project Nos.skqy201621)supported by Research center for systems science and enterprise development of Sichuan Province(Project Nos.Xq17B02).
文摘This paper considers the incentive and coordination problem of the construction supply chain consisting of the owner,general contractor,subcontractors and suppliers based on the sustainable development goals under uncertain environment.Firstly,according to the general contract management pattern and the relationships among those participants,we establish an uncertain bi-level nonlinear model in which the owner set the proper intensities to minimise the total cost at first while the general contractor decides its alternative and the limits to subcontractors correspondingly.Then,we convert the primal model into a deterministic bi-level nonlinear programming model based on the concept of relative robustness.Next,a solution procedure combing interactive fuzzy technique and genetic algorithm is designed.Finally,the validity of the model is verified by a numerical example.Our paper provides a method to optimise the construction project management from the perspective of supply chain under the requirement of sustainable development.
