Module for Prediction of Technological Operation Times in an Intelligent Job Scheduling System-Reference-Cited by-同舟云学术

Module for Prediction of Technological Operation Times in an Intelligent Job Scheduling System

Published:2018-08-01 Issue: Volume: Page:234-243
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Sobaszek Łukasz,Gola Arkadiusz,Kozłowski Edward

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-97490-3_23

Reference20 articles.

1. Relich, M., Muszyński, W.: The use of intelligent systems for planning and scheduling of product development projects. Procedia Comput. Sci. 35, 1586–1595 (2014)

2. Gola, A.: Economic aspects of manufacturing systems design. Actual Probl. Econ. 156(6), 205–212 (2014)

3. Zwolińska, B., Grzybowska, K., Kubica Ł: Shaping production change variability in relation to the utilized technology. In: 24th International Conference on Production Research (ICPR 2017), pp. 51–56 (2017)

4. Jasiulewicz-Kaczmarek, M., Bartkowiak, T.: Improving the performance of a filling line based on simulation. In: Materials Science and Engineering, vol. 145 (2016)

5. Sitek, P., Wikarek, J.: A hybrid programming framework for modeling and solving constraint satisfaction and optimization problems. Sci. Prog. 2016, 13 (2016). Article ID 5102616

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