z-logo
open-access-imgOpen Access
Proposal for Evaluating Workers’ Work Characteristics – Case Study on Business Machinery Production Line –
Author(s) -
Seiko Taki,
Yasuhiro Kajihara,
Arou Yamamoto
Publication year - 2017
Publication title -
international journal of automation technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.513
H-Index - 18
eISSN - 1883-8022
pISSN - 1881-7629
DOI - 10.20965/ijat.2017.p0038
Subject(s) - work (physics) , production (economics) , computer science , line (geometry) , assembly line , test (biology) , field (mathematics) , selection (genetic algorithm) , business , operations management , engineering , economics , artificial intelligence , mechanical engineering , mathematics , microeconomics , biology , paleontology , geometry , pure mathematics
The General Aptitude Test Battery (GATB) is widely used to evaluate a subject’s cognitive ability for the purpose of selecting appropriate employment. The results of the GATB have been used to place staff in departments ranging from clerical departments to assembly lines. However, at actual manufacturing and assembly sites, workers receive mixed evaluations of “slow work” and “fast work” from the site administrators even though they all have high GATB scores for their jobs. In this study, with the aim of improving job design and employment selection, we do a detailed analysis of the existing GATB method of evaluating work characteristics and worker capacities. We conduct inspection ratings to measure each worker’s ability to adjust their working speeds and analyze the relationship between the GATB score and the worker evaluations. Next, we discover specific motions that explain the evaluation of workers by analyzing worker motions during the GATB. Lastly, we propose a method of determining whether an employee can work quickly in the field.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom