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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tomastik, R.N. Luh, P.B. Guandong Liu |
| Copyright Year | 1995 |
| Description | Author affiliation: Dept. of Electr. & Syst. Eng., Connecticut Univ., Storrs, CT, USA (Tomastik, R.N.; Luh, P.B.; Guandong Liu) |
| Abstract | In the mid to high volume apparel production, garments are typically grouped into production lots, and each lot is processed in its own manufacturing cell. A flexible manufacturing system used in this environment enables quick cell configuration, and the efficient operation of cells. The scheduling problem is to decide when to set up a cell and consequently begin garment production in the cell, and to decide the quantity of machines to allocate to each cell. In this paper, an integer programming model is developed which integrates scheduling and resource allocation. The model is solved by using the Lagrangian relaxation technique, and a new bundle method is used to optimize the Lagrangian dual function. Testing is performed using data from a real factory, and numerical results show that high quality schedules are efficiently generated on personal computers. |
| Starting Page | 3152 |
| Ending Page | 3157 |
| File Size | 569930 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780326857 |
| ISSN | 01912216 |
| DOI | 10.1109/CDC.1995.478632 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1995-12-13 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Job shop scheduling Flexible manufacturing systems Production Clothing Processor scheduling Lagrangian functions Manufacturing processes Linear programming Resource management Optimization methods |
| Content Type | Text |
| Resource Type | Article |
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