ITE Technical Group Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2020-09-02 10:20
Situation estimation to create good work environment at logistics facility
Toshimasa Aso (Tokyo Univ. of Marine Science and Technology)
Abstract (in Japanese) (See Japanese page) 
(in English) This paper describes situation estimation method to create a good work environment and its perfor-
mance evaluation. The proposal method uses Dixon’s outlier test to detect workers whose productivity is low or
whose workload is high. This method shows the workers’ name and their reasons to an operations manager. On
the basis of 30 staff data, its performance is evaluated. Results show that precision of detecting low productivity
workers is approximately 95%. It is shown that precision of detecting high workload workers is approximately more
than 97%. The proposal method has possibilities of visualizing retention risk of employees.
Keyword (in Japanese) (See Japanese page) 
(in English) Work measurement / Good work environment / Smartphone / Warehouse / / / /  
Reference Info. ITE Tech. Rep.
Paper #  
Date of Issue  
ISSN  
Download PDF

Conference Information
Committee IEICE-LOIS IEICE-EMM IEICE-IE IEE-CMN ME IPSJ-AVM  
Conference Date 2020-09-01 - 2020-09-02 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IEICE-LOIS 
Conference Code 2020-09-LOIS-EMM-IE-CMN-ME-AVM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Situation estimation to create good work environment at logistics facility 
Sub Title (in English)  
Keyword(1) Work measurement  
Keyword(2) Good work environment  
Keyword(3) Smartphone  
Keyword(4) Warehouse  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Toshimasa Aso  
1st Author's Affiliation Tokyo University of Marine Science and Technology (Tokyo Univ. of Marine Science and Technology)
2nd Author's Name  
2nd Author's Affiliation ()
3rd Author's Name  
3rd Author's Affiliation ()
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Speaker Author-1 
Date Time 2020-09-02 10:20:00 
Presentation Time 25 minutes 
Registration for IEICE-LOIS 
Paper #  
Volume (vol) vol.44 
Number (no)  
Page  
#Pages  
Date of Issue  


[Return to Top Page]

[Return to ITE Web Page]


The Institute of Image Information and Television Engineers (ITE), Japan