Application of neural networks to supplier selection and evaluation

Dale Rogers, Henry N. Amato

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Neural networks offer a new technology to assist buyers in selecting or evaluating suppliers. A neural network can be trained to imitate the decision process of a buyer for supplier selection. Also, a neural network can be trained to recognize patterns in selected traits common to successful suppliers. Given their potential to save time and money in selection or evaluation decisions, neural network applications merit further investigation. There are many other potential applications within the logistics organization that call for human judgement in addition to data processing. For difficult decision processes that have a bottom line impact, neural networks can be harnessed to alleviate some of the pressure on the logistics manager.

Original languageEnglish (US)
Title of host publicationAnnual Meeting - Council of Logistics Management
PublisherPubl by Council of Logistics Management
Pages233-243
Number of pages11
Volume2
StatePublished - 1991
Externally publishedYes
EventProceedings of the Fall Meeting on Council of Logistics Management Part 2 (of 2) - New Orleans, LA, USA
Duration: Sep 29 1991Oct 2 1991

Other

OtherProceedings of the Fall Meeting on Council of Logistics Management Part 2 (of 2)
CityNew Orleans, LA, USA
Period9/29/9110/2/91

ASJC Scopus subject areas

  • Business, Management and Accounting(all)

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  • Cite this

    Rogers, D., & Amato, H. N. (1991). Application of neural networks to supplier selection and evaluation. In Annual Meeting - Council of Logistics Management (Vol. 2, pp. 233-243). Publ by Council of Logistics Management.