DocumentCode :
2828132
Title :
The simulation study of the maximum learning incremental worker-station assignment based on learning- forgetting
Author :
Huizhen Liu ; Bixi Zhang ; Shengqiang Hu ; Shihua Guan ; Yuling Zhang
Author_Institution :
Sch. of Manage., Guangdong Univ. of Technol., Guangzhou, China
fYear :
2011
fDate :
15-17 July 2011
Firstpage :
7852
Lastpage :
7854
Abstract :
The paper simulates worker-station assignment based on learning-forgetting, and develops the model of the maximum learning incremental. The goal of this model is the maximum learning incremental. Job rotation is used in this model. One worker is trained more than one job .It makes the process of learning longer. After the long process of learning, workers become generalists. The production system is more flexible. Dependence on staff is relatively small in the production system. It is perfect for modern enterprises in make-to-order and competitive environment. Simulations of the production system are performed under given particular production environment for heterogeneous workers based on specific objectives. It is of the guiding role in practice production system.
Keywords :
flexible manufacturing systems; industrial psychology; industrial training; labour resources; multiskilling; flexible production system; forgetting model; job rotation; learning; maximum learning incremental; worker station assignment; worker training; Educational institutions; Ergonomics; Industrial engineering; Manufacturing; Mathematical model; Production systems; learning-forgetting; the model of the learning incremental; worker-station assignment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location :
Hohhot
Print_ISBN :
978-1-4244-9436-1
Type :
conf
DOI :
10.1109/MACE.2011.5988874
Filename :
5988874
Link To Document :
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