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