Abstract
Dispatching rule selection is an important problem in production scheduling. This paper introduces a minimax linear programming (LP) model for dispatching rule selection in the presence of multiple criteria. The multi-criteria dispatching rule selection problem is first converted into a preference voting system, and a minimax LP model is then introduced for solving the corresponding problem. The advantage of this conversion is that it provides a way to identify dispatching rules that are moderately good in all criteria, rather than selecting dispatching rules that are good respect to only a few variables. An experimental study considering two different production priority settings is used to show the applicability of the proposed method.
Original language | English |
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Pages (from-to) | 27-35 |
Number of pages | 9 |
Journal | Computers and Industrial Engineering |
Volume | 121 |
DOIs | |
Publication status | Published - Jul 2018 |
Keywords
- Aggregation
- Data envelopment analysis
- Dispatching rules
- Minimax linear programming
- Multi-criteria decision making
ASJC Scopus subject areas
- Computer Science(all)
- Engineering(all)