Article ID: | iaor1996872 |
Country: | United Kingdom |
Volume: | 15 |
Start Page Number: | 59 |
End Page Number: | 69 |
Publication Date: | Aug 1995 |
Journal: | International Journal of Operations & Production Management |
Authors: | Mukhopadhyay Samar K. |
Keywords: | artificial intelligence: decision support |
The success of a JIT system depends on the effective implementation of all its components, including JIT purchasing. Even after following all prescribed implementation procedures of the JIT purchasing system, many companies are frustrated owing to delayed or early delivery of materials to the work centres because of limited unloading facilities. Identifies this problem, develops a mathematical formulation and provides a methodology for obtaining optimal delivery schedules for JIT purchases by applying operations research techniques. An algorithm-based decision support system is developed which gives optimal unloading schedules very quickly, making it suitable for daily JIT purchases delivery planning.