Abstract
Minicells are small manufacturing cells dedicated to an option family and organized in a multi-stage configuration for mass customization manufacturing. Product variants, depending on the customization requirements of each customer, are routed through the minicells as necessary. For successful mass customization, customized products must be manufactured at low cost and with short turn around time. Effective scheduling of jobs to be processed in minicells is essential to quickly deliver customized products. In this research, a genetic algorithm based approach is developed to schedule jobs in a minicell configuration by considering it as a multi-stage flow shop to obtain a minimum flow time schedule. The results are compared with a heuristic presented earlier to minimize average flow time in flowshops.
| Original language | English |
|---|---|
| Pages | 818-823 |
| Number of pages | 6 |
| State | Published - 2007 |
| Event | IIE Annual Conference and Expo 2007 - Industrial Engineering's Critical Role in a Flat World - Nashville, TN, United States Duration: May 19 2007 → May 23 2007 |
Conference
| Conference | IIE Annual Conference and Expo 2007 - Industrial Engineering's Critical Role in a Flat World |
|---|---|
| Country/Territory | United States |
| City | Nashville, TN |
| Period | 5/19/07 → 5/23/07 |
Keywords
- Flow time
- Genetic algorithm
- Mass customization
- Minicells
- Scheduling
ASJC Scopus subject areas
- Industrial and Manufacturing Engineering