Improving KPI Based Performance Analysis in Discrete, Multi-variant Production-Reference-Cited by-同舟云学术

Improving KPI Based Performance Analysis in Discrete, Multi-variant Production

Published:2018 Issue: Volume: Page:661-673
ISSN:0302-9743
Container-title:Intelligent Information and Database Systems
language:
Short-container-title:

Author:

Cupek Rafał,Ziębiński Adam,Drewniak Marek,Fojcik Marcin

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-75420-8_62

Reference22 articles.

1. Hawkins, D.M., Zamba, K.D.: Statistical process control for shifts in mean or variance using a changepoint formulation. Technometrics 47, 164–173 (2005)

2. Bornschlegl, M., Bregulla, M., Franke, J.: Methods-energy measurement – an approach for sustainable energy planning of manufacturing technologies. J. Clean. Prod. 135, 644–656 (2016)

3. Shipp, S.S., Gupta, N., Lal, B., Scott, J.A., Weber, C.L., Finnin, M.S., Blake, M., Newsome, S., Thomas, S.: Emerging global trends in advanced manufacturing. DTIC Document (2012)

4. Cupek, R., Ziebinski, A., Huczala, L., Erdogan, H.: Agent-based manufacturing execution systems for short-series production scheduling. Comput. Ind. 82, 245–258 (2016)

5. Yeh, W.-C., Jiang, Y., Chen, Y.-F., Chen, Z.: A new soft computing method for K-Harmonic means clustering. PLoS ONE 12, e0169707 (2017)

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