Abstract
In due-date assignment problems with a common flow-allowance, the job-dependent due-dates are determined as linear functions of the job processing times. This paper studies due-date and due-window assignment problems based on flow-allowance with a minmax objective function. We consider a setting of parallel identical machines. The problems are proved to be NP-hard, and efficient heuristic procedures and simple lower bounds are introduced. Worst case analysis is provided in both cases. Our numerical tests indicate that the heuristics produce extremely close-to-optimal schedules. Our procedures (heuristics and bounds) are extended to parallel uniform machines, and based on our numerical tests, the average optimality gaps remain very small.
Original language | English |
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Pages (from-to) | 623-633 |
Number of pages | 11 |
Journal | International Journal of Production Economics |
Volume | 139 |
Issue number | 2 |
DOIs | |
State | Published - Oct 2012 |
Bibliographical note
Funding Information:The first author is the Charles Rosen Professor of Management, The School of Business Administration, The Hebrew University. This paper was supported in part by the Recanati Fund of the School of Business Administration, The Hebrew University, Jerusalem, Israel.
Keywords
- Due-date assignment
- Due-window assignment
- Flow-allowance
- Minmax
- Parallel identical machines
- Scheduling
- Uniform machines