An alternative work measurement method and its application to a manufacturing industry

Difficulties in determining the standard time justify the need to develop alternative methods to direct measurement procedures. The indirect methods which are comparison and prediction, standard data and formulation, predefined movement-time systems have several deficiencies in time measurement proc...

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Bibliographic Details
Published in:Journal of loss prevention in the process industries 2011-09, Vol.24 (5), p.563-567
Main Authors: Dağdeviren, Metin, Eraslan, Ergün, Çelebi, Fatih V.
Format: Article
Language:English
Subjects:
Artificial intelligence
Artificial neural network
Artificial neural networks
Manufacturing
Mathematical models
Neural networks
Productivity measurement
Standard data
Time measurement
Time study
Work measurement
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Summary:Difficulties in determining the standard time justify the need to develop alternative methods to direct measurement procedures. The indirect methods which are comparison and prediction, standard data and formulation, predefined movement-time systems have several deficiencies in time measurement procedures. In this study, an alternative indirect work measurement method based on artificial neural networks (ANNs) is presented which is simple and inexpensive. For the application of the proposed method, the products that have similar production processes are selected among the whole product family produced in a manufacturing company. The standard times of the sampled products that are previously measured are used and the standard times of the remaining several products and semi-products are predicted by the proposed method. The model results show that the proposed method can be applied accurately in companies which produce similar products.
ISSN:0950-4230
1873-3352
DOI:10.1016/j.jlp.2010.06.017