Acquisition and validation of expert knowledge for high-mix and low-volume production scheduling problems-Reference-Cited by-同舟云学术

Acquisition and validation of expert knowledge for high-mix and low-volume production scheduling problems

Published:2023 Issue:1 Volume:17 Page:JAMDSM0008-JAMDSM0008
ISSN:1881-3054
Container-title:Journal of Advanced Mechanical Design, Systems, and Manufacturing
language:en
Short-container-title:JAMDSM

Author:

KONDOH Shinsuke¹,KOMOTO Hitoshi²,TAKEDA Hideaki³,UMEDA Yasushi¹

Affiliation:

1. Research into Artifacts, Center for Engineering, The University of Tokyo

2. National Institute of Advanced Industrial Science and Technology (AIST)

3. National Institute of Informatics

Publisher

Japan Society of Mechanical Engineers

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Link

https://www.jstage.jst.go.jp/article/jamdsm/17/1/17_2023jamdsm0008/_pdf

Reference11 articles.

1. Benjamin, S., Anwer, N., Mathieu, L. and Wartzack, S., Shaping the digital twin for design and production engineering, CIRP Annals-Manufacturing Technology, Vol.66, No.1 (2017), pp. 141–144.

2. Frazzon, E.M., Kucj, M. and Freitag, M., Data-driven production control for complex and dynamic manufacturing systems, CIRP Annals-Manufacturing Technology, Vol.67, No.1 (2018), pp. 515–518.

3. Godri, I., Kardos, C., Pfeiffer, A. and Vanza, J., Data analytics-based decision support workflow for high-mix low-volume production systems, CIRP Annals-Manufacturing Technology, Vol.68, No.1 (2019), pp. 471–474.

4. Industrial Internet Consortium, The Industrial Internet of Things Volume G1: Reference Architecture, available form https://www.iiconsortium.org/IIC_PUB_G1_V1.80_2017-01-31.pdf, (accessed on 16 Jan. 2019).

5. Kondoh, S., Komoto, H., Takeda, H. and Umeda, Y., Acquisition of expert’s knowledge for high-mix and low-volume production scheduling problem, Proc. of Int. Conference on Leading Edge Manufacturing in 21^st century: LEM 21, 2021, DOI:10.1299/jsmelem.2021.10.124-126.

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