Abstract
We extend the classical single-machine maximal lateness scheduling problem to the case where the job processing times are controllable by allocating a continuous and nonrenewable resource to the processing operations. Our aim is to construct an efficient trade-off curve between maximal lateness and total resource consumption using a bicriteria approach. We present a polynomial time algorithm that constructs this trade-off curve assuming a specified general type of convex decreasing resource consumption function. We illustrate the algorithm with a numerical example.
Original language | English |
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Pages (from-to) | 341-352 |
Number of pages | 12 |
Journal | Journal of Scheduling |
Volume | 10 |
Issue number | 6 |
DOIs | |
State | Published - 1 Dec 2007 |
Keywords
- Bicriteria
- Convex resource allocation
- Maximal lateness
- Single machine scheduling
ASJC Scopus subject areas
- Software
- General Engineering
- Management Science and Operations Research
- Artificial Intelligence