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All issues Volume 55 / No 2 (March-April 2021) RAIRO-Oper. Res., 55 2 (2021) 1137-1152 References
Free Access
Issue
RAIRO-Oper. Res.
Volume 55, Number 2, March-April 2021
Page(s) 1137 - 1152
DOI https://doi.org/10.1051/ro/2021044
Published online 07 May 2021
  • M. Buzoianu, A. Brockwell and D.J. Seppi, A dynamic supply-demand model for electricity prices (2005). [Google Scholar]
  • H.P. Chao, Price-responsive demand management for a smart grid world. Electr. J. 23 (2010) 7–20. [Google Scholar]
  • Y.Y. Chen, P.Y. Huang, C.J. Huang, S.Q. Huang and F.D. Chou, Makespan minimization for scheduling on two identical parallel machiens with flexible maintenance and nonresumable jobs. To appear in: J. Ind. Prod. Eng. (2021). DOI: 10.1080/21681015.2021.1883131. [Google Scholar]
  • A. Dasci and V. Verter, A continuous model for production–distribution system design. Eur. J. Oper. Res. 129 (2001) 287–298. [Google Scholar]
  • M.H. Firouz and N. Ghadimi, Optimal preventive maintenance policy for electric power distribution systems based on the fuzzy AHP methods. Complexity. 21 (2016) 70–78. [Google Scholar]
  • S.M. Hosseini-Motlagh, M.R.G. Samadi and V. Shahbazbegian, Innovative strategy to design a mixed resilient-sustainable electricity supply chain network under uncertainty. Appl. Energy 280 (2019) 115921. [Google Scholar]
  • A. Jabbarzadeh, B. Fahimnia and S. Rastegar, Green and resilient design of electricity supply chain networks: a multiobjective robust optimization approach. IEEE Trans. Eng. Manage. 66 (2017) 52–72. [Google Scholar]
  • M. Khodaei Tehrani, A. Fereidunian and H. Lesani, Financial planning for the preventive maintenance of power distribution systems via fuzzy AHP. Complexity 21 (2016) 36–46. [Google Scholar]
  • A. Khosrojerdi, S.H. Zegordi, J.K. Allen and F. Mistree, A method for designing power supply chain networks accounting for failure scenarios and preventive maintenance. Eng. Opt. 48 (2016) 154–172. [Google Scholar]
  • T. Malakar, A. Rajan, K. Jeevan and P. Dhar, A day ahead price sensitive reactive power dispatch with minimum control. Int. J. Electr. Power Energy Syst. 81 (2016) 427–443. [Google Scholar]
  • A. Nagurney, Z. Liu and T. Woolley, Optimal endogenous carbon taxes for electric power supply chains with power plants. Math. Comput. Modell. 44 (2006) 899–916. [Google Scholar]
  • A. Nagurney, Z. Liu, M.-G. Cojocaru and P. Daniele, Dynamic electric power supply chains and transportation networks: an evolutionary variational inequality formulation. Transp. Res. Part E: Logistics Transp. Rev. 43 (2007) 624–646. [Google Scholar]
  • D.K. Neitzel, M.E. Simon, R. Widup and R.J. Schuerger, An overview of IEEE 3007 series standards: addressing the operations, management, maintenance, and safety of industrial and commercial power systems. IEEE Ind. App. Mag. 21 (2015) 56–60. [Google Scholar]
  • A. Salmasnia, F. Soltani, E. Heydari and S. Googoonani, An integrated model for joint determination of production run length, adaptive control chart parameters and maintenance policy. J. Ind. Prod. Eng. 36 (2019) 401–417. [Google Scholar]
  • B. Sarkar, M. Tayyab and S.B. Choi, Product channeling in an O2O supply chain management as power transmission in electric power distribution systems. Mathematics 7 (2019) 4. [Google Scholar]
  • K. Sharma Ashwani, Optimal number and location of TCSC and loadability enhancement in deregulated electricity markets using MINLP. Int. J. Emerging Electr. Power Syst. 5 (2006). [Google Scholar]
  • Y.C. Tsao, D. Mangotra, J.-C. Lu and M. Dong, A continuous approximation approach for the integrated facility-inventory allocation problem. Eur. J. Oper. Res. 222 (2012) 216–228. [CrossRef] [Google Scholar]
  • J.N. Tsitsiklis and Y. Xu, Pricing of fluctuations in electricity markets. Eur. J. Oper. Res. 246 (2015) 199–208. [Google Scholar]
  • E.O. VietNam, Viet Nam electricity Annual Report 2019 (2019). [Google Scholar]
  • X.-H. Wang and R.-G. Cong, Electric power supply chain management addressing climate change. Proc. Eng. 29 (2012) 749–753. [Google Scholar]
  • Y. Wang, G. Liang and N. Wang, Optimal preventive maintenance strategy based on risk assessment. Paper presented at the 2011 International Conference on Computer and Management (CAMAN) (2011). [Google Scholar]
  • T. Wang, D. Yamashita, H. Takamori, R. Yokoyama and T. Niimura, A dynamic pricing model for price responsive electricity consumers in a smart community. Paper presented at the 2013 IEEE Power & Energy Society General Meeting (2013). [Google Scholar]
  • K. Wu, A. Nagurney, Z. Liu and J.K. Stranlund, Modeling generator power plant portfolios and pollution taxes in electric power supply chain networks: a transportation network equilibrium transformation. Transp. Res. Part D: Transp. Environ. 11 (2006) 171–190. [Google Scholar]
  • B. Yssaad and A. Abene, Rational reliability centered maintenance optimization for power distribution systems. Int. J. Electr. Power Energy Syst. 73 (2015) 350–360. [Google Scholar]
  • B. Yssaad, M. Khiat and A. Chaker, Reliability centered maintenance optimization for power distribution systems. Int. J. Electr. Power Energy Syst. 55 (2014) 108–115. [Google Scholar]
  • V. Zdraveski, M. Todorovski and L. Kocarev, Dynamic intelligent load balancing in power distribution networks. Int. J. Electr. Power Energy Syst. 73 (2015) 157–162. [Google Scholar]
  • K.L. Zhou, S.Y. Wei and S.L. Yang, Time-of-use pricing model based on power supply chain for user-side microgrid. Appl. Energy 248 (2019) 35–43. [Google Scholar]

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