Sustainable personnel scheduling supported by an artificial neural network model in a natural gas combined cycle power plant-Reference-Cited by-同舟云学术

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Sustainable personnel scheduling supported by an artificial neural network model in a natural gas combined cycle power plant

Published:2020-04-23 Issue:9 Volume:44 Page:7525-7547
ISSN:0363-907X
Container-title:International Journal of Energy Research
language:en
Short-container-title:Int J Energy Res

Author:

Özder Emir Hüseyin¹^ORCID,Özcan Evrencan²^ORCID,Eren Tamer²^ORCID

Affiliation:

1. Department of Management InformationFaculty of Commercial SciencesBaşkent University 06790 Ankara Turkey

2. Department of Industrial Engineering, Faculty of EngineeringKırıkkale University 71450 Kırıkkale Turkey

Publisher

Wiley

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/er.5480

Reference50 articles.

1. An Annotated Bibliography of Personnel Scheduling and Rostering

2. Electricity Generation Company of Turkey; Yearly Activity Report; EUAS Turkey 2020.

3. Modeling staff scheduling problems. A tutorial

4. Simple Methods for Shift Scheduling in Multiskill Call Centers

5. Flexible shift scheduling of physicians

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1. Sustainable production scheduling: insights from real-life applications;Production Planning & Control;2024-08-20

2. Solving the multisite staff planning and scheduling problem in a sheltered employment centre that employs workers with intellectual disabilities by MILP: a Spanish case study;Central European Journal of Operations Research;2023-06-18

3. Train maintenance personnel shift scheduling: case study;Flexible Services and Manufacturing Journal;2023-04-28

4. Advanced exergy and exergoeconomic analyses to evaluate the economy of LNG oxy-fuel combined cycle power plant;Journal of Environmental Chemical Engineering;2022-10

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