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 language | English (US) |
|---|---|
| Title of host publication | Annual Meeting - Council of Logistics Management |
| Publisher | Publ by Council of Logistics Management |
| Pages | 233-243 |
| Number of pages | 11 |
| Volume | 2 |
| State | Published - 1991 |
| Externally published | Yes |
| Event | Proceedings of the Fall Meeting on Council of Logistics Management Part 2 (of 2) - New Orleans, LA, USA Duration: Sep 29 1991 → Oct 2 1991 |
Other
| Other | Proceedings of the Fall Meeting on Council of Logistics Management Part 2 (of 2) |
|---|---|
| City | New Orleans, LA, USA |
| Period | 9/29/91 → 10/2/91 |
ASJC Scopus subject areas
- General Business, Management and Accounting