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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Vydané v:	International journal of production research Ročník 54; číslo 8; s. 2227 - 2240
Hlavní autori:	Tang, Lin, Zheng, Li, Cao, Hui, Huang, Ningjian
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Taylor & Francis 17.04.2016 Taylor & Francis LLC
Predmet:	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
On-line prístup:	Získať plný text
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