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Fingerprint Dive into the research topics where Shigeru Fujimura is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 3 Similar Profiles
Scheduling Engineering & Materials Science
Genetic algorithms Engineering & Materials Science
Evolutionary algorithms Engineering & Materials Science
Just in time production Engineering & Materials Science
Flow Shop Mathematics
Process planning Engineering & Materials Science
Industry Engineering & Materials Science
Job Shop Scheduling Problem Mathematics

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Research Output 2007 2019

  • 122 Citations
  • 5 h-Index
  • 48 Conference contribution
  • 17 Article
  • 1 Conference article

A Mix Integer Programming Model for Bi-objective Single Machine with Total Weighted Tardiness and Electricity Cost under Time-of-use Tariffs

Kurniawan, B., Gozali, A. A., Weng, W. & Fujimura, S., 2019 Jan 9, 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018. IEEE Computer Society, p. 137-141 5 p. 8607420. (IEEE International Conference on Industrial Engineering and Engineering Management; vol. 2019-December).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Integer programming
Electricity
Costs
Genetic algorithms
Scheduling

Building Deep Neural Network Model for Short Term Electricity Consumption Forecasting

Chandramitasari, W., Kurniawan, B. & Fujimura, S., 2019 Mar 22, Proceeding - 2018 International Symposium on Advanced Intelligent Informatics: Revolutionize Intelligent Informatics Spectrum for Humanity, SAIN 2018. Institute of Electrical and Electronics Engineers Inc., p. 43-48 6 p. 8673340. (Proceeding - 2018 International Symposium on Advanced Intelligent Informatics: Revolutionize Intelligent Informatics Spectrum for Humanity, SAIN 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Electricity
Feedforward neural networks
Time series
Industry
Deep neural networks
Preserver
Island Model
Genetic Models
Islands
Migration

Abnormal data analysis in process industries using deep-learning method

Song, W., Weng, W. & Fujimura, S., 2018 Feb 9, 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017. IEEE Computer Society, Vol. 2017-December. p. 2356-2360 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Industrial plants
Industry
Sensors
Deep learning
Process industry

A control method to save machine energy in production

Weng, W., Yang, Y. & Fujimura, S., 2018 Jul 4, In : IOP Conference Series: Materials Science and Engineering. 383, 1, 012014.

Research output: Contribution to journalConference article

Energy conservation
Scheduling
Just in time production
Energy utilization
Processing