Abstract
In this paper an extensive earliness/tardiness production scheduling and planning(ETPSP) model with lot-size consideration and capacity balance is proposed. An innovative approach using multiobjective genetic algorithm (MOGA) is designed as its solutions. The presented MOGA approach can even deal with ETPSP problem which consists of highly complicated and nonlinear functions for the measure performance. The effectiveness of this approach is demonstrated by simulation results as well as the comparisons with other techniques.
| Original language | English |
|---|---|
| Pages (from-to) | 274-279 |
| Journal | IECON Proceedings (Industrial Electronics Conference) |
| Volume | 1 |
| Publication status | Published - 1998 |
| Event | Proceedings of the 1998 24th Annual Conference of the IEEE Industrial Electronics Society, IECON. Part 4 (of 4) - Aachen, Ger Duration: 31 Aug 1998 → 4 Sept 1998 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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