| Presentation | 2019-07-18 Measuring Productivity by Warehouse Work Probe System Toshimasa Aso, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper describes measuring productivity by warehouse work probe system. First, 30 work data are probed. Second, Estimation results show most of work element errors are approximately 2%. It is shown that performance of measuring work elements is high. Third, performance comparisons between existing productivity measuring schemes and a new scheme using the work probe system have been done. Ranking and productivity clustering are evaluated. Results show that accuracy of the new scheme is higher. Therefore, the new scheme is useful for operations improvement. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | work probe / warehouse / work element / smartphone / productivity |
| Paper # | LOIS2019-4 |
| Date of Issue | 2019-07-10 (LOIS) |
| Conference Information | |
| Committee | LOIS / IPSJ-DC |
|---|---|
| Conference Date | 2019/7/17(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Center for Computational Sciences, University of Tsukuba |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Tomohiro Yamada(NEL) / Ryoji Akimoto(Toppan Printing) |
| Vice Chair | Toru Kobayashi(Nagasaki Univ.) |
| Secretary | Toru Kobayashi(Research Organization of Information and Systems) / (NTT) |
| Assistant | Kenichi Arai(Nagasaki Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Life Intelligence and Office Information Systems / Special Interest Group on Document Communication |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Measuring Productivity by Warehouse Work Probe System |
| Sub Title (in English) | |
| Keyword(1) | work probe |
| Keyword(2) | warehouse |
| Keyword(3) | work element |
| Keyword(4) | smartphone |
| Keyword(5) | productivity |
| 1st Author's Name | Toshimasa Aso |
| 1st Author's Affiliation | Tokyo University of Marine Science and Technology(Tokyo Univ. of Marine Science and Technology) |
| Date | 2019-07-18 |
| Paper # | LOIS2019-4 |
| Volume (vol) | vol.119 |
| Number (no) | LOIS-123 |
| Page | pp.pp.31-35(LOIS), |
| #Pages | 5 |
| Date of Issue | 2019-07-10 (LOIS) |