Abstract
We consider m machines in parallel with each machine capable of producing one specific product type. There are n orders with each one requesting specific quantities of the various different product types. Order j may have a release date r j and a due date d j. The different product types for order j can be produced at the same time. We consider the class of objectives Σ fj(Cj) that includes objectives such as the total weighted completion time Σ wjCj and the total weighted tardiness Σ wjTj of the n orders. We present structural properties of the various problems and a complexity result. In particular, we show that minimizing Σ Cj when m ≥ 3 is strongly NP-hard. We introduce two new heuristics for the Σ Cj objective. An empirical analysis shows that our heuristics outperform all heuristics that have been proposed for this problem in the literature.
Original language | English (US) |
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Pages (from-to) | 355-386 |
Number of pages | 32 |
Journal | Journal of Scheduling |
Volume | 8 |
Issue number | 5 |
DOIs | |
State | Published - Oct 2005 |
All Science Journal Classification (ASJC) codes
- Software
- General Engineering
- Management Science and Operations Research
- Artificial Intelligence
Keywords
- Approximation
- NP-hard
- Order scheduling
- Tabu Search
- Total completion time