A nonparametric approach to modeling dependence among production parameters for energy cost estimation-Reference-Cited by-同舟云学术

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A nonparametric approach to modeling dependence among production parameters for energy cost estimation

Published:2020-05 Issue:5-6 Volume:108 Page:1913-1930
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Jeon Hyun Woo,Chung Sung Hoon,Park Kijung^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s00170-020-05511-7.pdf

Reference30 articles.

1. US EPA O (2015) Electricity customers. In: US EPA. https://www.epa.gov/energy/electricity-customers. Accessed 30 Jan 2020

2. Jeon HW, Lee S, Wang C (2019) Estimating manufacturing electricity costs by simulating dependence between production parameters. Robot Comput Integr Manuf 55:129–140. https://doi.org/10.1016/j.rcim.2018.07.009

3. Le Hesran C, Ladier A-L, Botta-Genoulaz V, Laforest V (2019) Operations scheduling for waste minimization: a review. J Clean Prod 206:211–226. https://doi.org/10.1016/j.jclepro.2018.09.136

4. Akbar M, Irohara T (2018) Scheduling for sustainable manufacturing: a review. J Clean Prod 205:866–883. https://doi.org/10.1016/j.jclepro.2018.09.100

5. Jeon HW, Lee S, Kargarian A, Kang Y (2017) Power demand risk models on milling machines. J Clean Prod 165:1215–1228. https://doi.org/10.1016/j.jclepro.2017.07.101

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