Research On Green Building Supplier Selection Based On BP-Neural Network

After the concept of Green Supply Chain was introduced,The construction industry saved resources and power effectively.It is critical to conserve the environment,control the pollution of ecosystem,while promoting to fulfill the green construction.It is necessary to select the construction effectively for fulfilling the green supply chain,especially for the selection of the strategic alliance with suppliers.Suppliers locate in supply chain as a point delivering green products,service and technology to other points through logistics and information flow.It would realize the harmonious development among he economic benefits,benefits environmental and social benefits of green building supply chain.Construction is quite different from manufacturing,the elements in the construction supply chain consisting of constructed function,designers and composer s for material and device.The dissertation states that it establishes the mode of green building supplier selection based on the trait of green construction,building up the evaluation system of green building supplier.Compared to the past index system,the new potential for cooperation,enterprise management ability,innovation ability and green capability.The selected supplier provides qualified products or service with reasonable price plus the index of the conservation for environment and the full use of resource,building a stable strategic partnership with environmental suppliers eventually.BP-Neural Network is used to select suppliers of green building,through the analysis of the advantages and disadvantages of the existing green supplier selection evaluation method,BP-Neural Network rectifies the data of the input,hidden and output layer to obtain the final result.Ultimately,The dissertation offers a case of several green building suppliers to prove its availability and the trait that the result of evaluation is not influenced by evaluators subjectively...