An improved multi-objective genetic algorithm for heterogeneous coverage RFID network planning

Recent research has demonstrated the potential benefits of radio frequency identification (RFID) technology in the supply chain and production management via its item-level visibility. However, the RFID coverage performance is largely impacted by the surrounding environment and potential collisions...

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Veröffentlicht in:	International journal of production research Jg. 54; H. 8; S. 2227 - 2240
Hauptverfasser:	Tang, Lin, Zheng, Li, Cao, Hui, Huang, Ningjian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Taylor & Francis 17.04.2016 Taylor & Francis LLC
Schlagworte:	Algorithms Computation Electronic devices Evolutionary Genetic algorithms Greedy algorithms heterogeneous coverage Heuristic methods Mathematical models mixed-model assembly line multi-objective genetic algorithm Multiple objective analysis Optimization Pareto optimum Production management Production scheduling Radio frequency identification RFID network planning Robustness (mathematics) Sequential scheduling Supply chains Visibility
ISSN:	0020-7543, 1366-588X
Online-Zugang:	Volltext
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