Abstract
The lack of a good planning system in preventing operational problems occurring in garment manufacture was of concern to garment manufacturers. Neither mathematical nor statistical approaches have proved to be very effective in tackling this problem. The goal of this research is to establish a model of measuring operational problems by the use of a proven inductive learning technique known as automatic pattern analysis and classification system (APACS). To be effective in this particular application domain, real data on garment production were used. The accuracy of the resulting system is nearly 95 per cent compared with real performance, possibly significantly achieving the goal.
| Original language | English |
|---|---|
| Pages (from-to) | 34-44 |
| Number of pages | 11 |
| Journal | International Journal of Clothing Science and Technology |
| Volume | 9 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 Jan 1997 |
Keywords
- Clothing industry
- Learning
- Production management
ASJC Scopus subject areas
- Business, Management and Accounting (miscellaneous)
- Materials Science (miscellaneous)
- General Business,Management and Accounting
- Polymers and Plastics