Abstract
A method has been developed based on minimisation of earliness and tardiness costs using Genetic Algorithms (GA) to assist the production management of garment manufacturing companies. Production planning and scheduling problems are discussed. The concept of genetic algorithms is explained. Elitist strategy and linear normalisation are considered, and the mechanism of GAs explained. The notation used in the study is listed. Practices involved in preparation of earliness and tardiness production schedule are explored with the extra costs inadvertently incurred. The parameters of the experiment are set out. The schedules for each sewing line in a garment factory are produced as a series of equations, seeking a valid master production schedule (MPS) with the lowest earliness and lateness penalty costs during a production period. The studied scenario is sketched in the results and expressed in terms of population size influencing ultimate performance and efficiency of GAs with examples quoted.
| Original language | English |
|---|---|
| Pages | 40-43 |
| Number of pages | 4 |
| Volume | 32 |
| No. | 10 |
| Specialist publication | Textile Asia |
| Publication status | Published - 1 Jan 2001 |
ASJC Scopus subject areas
- General Business,Management and Accounting
- Business and International Management
- Chemistry (miscellaneous)
- Industrial and Manufacturing Engineering
- Polymers and Plastics