Abstract
In order to select appropriate logistics suppliers, and by using of advantages of BP neural networks with self-organizing, self-learning, anti-interference, etc. a logistics supplier selection model was constructed, and an integrated logistics suppliers' capacity (performance) evaluation BP neural network was established, also, BP algorithm was designed. Then an example with twenty-three listed logistics suppliers' data in 2007 was studied. The example shows that the selection model is able to identify the evaluation level and size of alternative logistics suppliers, and provides an effective approach for selection of logistics suppliers.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
