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Paper Abstract and Keywords
Presentation 2022-01-27 14:25
Improvement of work element estimation for forklift operator
Toshimasa Aso (Tokyo Univ. of Marine Science and Technology) ICM2021-36 LOIS2021-34
Abstract (in Japanese) (See Japanese page) 
(in English) This paper describes improvement of work element estimation for forklift operators, performance comparisons and implementation of automation to write operation reports. The improved estimation can detect getting on and out of a forklift and grey durations. This paper uses data measured in an actual warehouse and compares performance. The results show that
the average matching rate increases by 5% to 89.3% and that the average error rate is reduced from 2.8% to 2.3%. This paper implements the automation to write operation reports in a cloud server to support visualization of work analysis.
Keyword (in Japanese) (See Japanese page) 
(in English) forklift / work measurement / work element estimation / / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 355, LOIS2021-34, pp. 19-24, Jan. 2022.
Paper # LOIS2021-34 
Date of Issue 2022-01-20 (ICM, LOIS) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF ICM2021-36 LOIS2021-34

Conference Information
Committee LOIS ICM  
Conference Date 2022-01-27 - 2022-01-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Practical Use of Lifelog, Office Information System, Business Management, etc. 
Paper Information
Registration To LOIS 
Conference Code 2022-01-LOIS-ICM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improvement of work element estimation for forklift operator 
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Keyword(1) forklift  
Keyword(2) work measurement  
Keyword(3) work element estimation  
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1st Author's Name Toshimasa Aso  
1st Author's Affiliation Tokyo University of Marine Science and Technology (Tokyo Univ. of Marine Science and Technology)
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Speaker Author-1 
Date Time 2022-01-27 14:25:00 
Presentation Time 25 minutes 
Registration for LOIS 
Paper # ICM2021-36, LOIS2021-34 
Volume (vol) vol.121 
Number (no) no.354(ICM), no.355(LOIS) 
Page pp.19-24 
#Pages 6 
Date of Issue 2022-01-20 (ICM, LOIS) 

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