Abstract
Lot splitting is defined as the process of splitting lots into smaller sub-lots such that successive operations of the same lot can be overlapped on distinct machines. Hence, the lead time of the lot can be possibly shortened. In this paper, a genetic algorithm-based approach is proposed to examine the lot splitting effect under different job shop conditions as defined by three parameters: processing time range, setup time and system congestion index. The experimental results suggest that lot splitting technique has a significant impact on job shop system with longer processing time and less due date tightness.
| Original language | English |
|---|---|
| Title of host publication | CEC 2007 IEEE Congress on Evolutionary Computation |
| Publisher | IEEE |
| Pages | 4722-4728 |
| Number of pages | 7 |
| ISBN (Print) | 9781424413393 |
| DOIs | |
| Publication status | Published - 1 Jan 2007 |
| Event | CEC 2007. IEEE Congress on Evolutionary Computation - Singapore, Singapore Duration: 25 Sept 2007 → 28 Sept 2007 |
Conference
| Conference | CEC 2007. IEEE Congress on Evolutionary Computation |
|---|---|
| Country/Territory | Singapore |
| City | Singapore |
| Period | 25/09/07 → 28/09/07 |
Keywords
- lot splitting
- job shop conditions
- job shop scheduling
- genetic algorithm-based approach
- system congestion index
- machine intelligence
- lead time reduction