American Institute of Mathematical Sciences

Advanced
October  2019, 15(4): 1729-1731. doi: 10.3934/jimo.2018119

A note on network repair crew scheduling and routing for emergency relief distribution problem

Huai-Che Hong and  Bertrand M. T. Lin ,

Institute of Information Management, Department of Information Management and Finance, National Chiao Tung University, Hsinchu 300, Taiwan

* Corresponding author: Bertrand M.T. Lin

Received  May 2017 Revised  November 2017 Published  August 2018

This paper proposes a dynamic programming algorithm for the NRCSRP with multiple crews. This algorithm also improves the existing algorithm for the problem with a single crew.

Keywords: Repair crew scheduling, dynamic programming.
Mathematics Subject Classification: Primary: 58F15, 58F17; Secondary: 53C35.
Citation: Huai-Che Hong, Bertrand M. T. Lin. A note on network repair crew scheduling and routing for emergency relief distribution problem. Journal of Industrial & Management Optimization, 2019, 15 (4) : 1729-1731. doi: 10.3934/jimo.2018119
References:
[1]

T. H. Cormen, C. E. Leiserson, R. L. Rivest and C. Stein, Introduction to Algorithms, 3rd edition, the MIT Press, 2009, M. A.  Google Scholar

[2]

P. A. Duque, I. S. Dolinskaya and K. Sörensen, Network repair crew scheduling and routing for emergency relief distribution problem, European Journal of Operational Research, 248 (2016), 272-285.  doi: 10.1016/j.ejor.2015.06.026.  Google Scholar

show all references

References:
[1]

T. H. Cormen, C. E. Leiserson, R. L. Rivest and C. Stein, Introduction to Algorithms, 3rd edition, the MIT Press, 2009, M. A.  Google Scholar

[2]

P. A. Duque, I. S. Dolinskaya and K. Sörensen, Network repair crew scheduling and routing for emergency relief distribution problem, European Journal of Operational Research, 248 (2016), 272-285.  doi: 10.1016/j.ejor.2015.06.026.  Google Scholar

[1]

Mohammed Abdelghany, Amr B. Eltawil, Zakaria Yahia, Kazuhide Nakata. A hybrid variable neighbourhood search and dynamic programming approach for the nurse rostering problem. Journal of Industrial & Management Optimization, 2021, 17 (4) : 2051-2072. doi: 10.3934/jimo.2020058
[2]

Chris Guiver, Nathan Poppelreiter, Richard Rebarber, Brigitte Tenhumberg, Stuart Townley. Dynamic observers for unknown populations. Discrete & Continuous Dynamical Systems - B, 2021, 26 (6) : 3279-3302. doi: 10.3934/dcdsb.2020232
[3]

Shan-Shan Lin. Due-window assignment scheduling with learning and deterioration effects. Journal of Industrial & Management Optimization, 2021  doi: 10.3934/jimo.2021081
[4]

Alexandr Mikhaylov, Victor Mikhaylov. Dynamic inverse problem for Jacobi matrices. Inverse Problems & Imaging, 2019, 13 (3) : 431-447. doi: 10.3934/ipi.2019021
[5]

Simone Cacace, Maurizio Falcone. A dynamic domain decomposition for the eikonal-diffusion equation. Discrete & Continuous Dynamical Systems - S, 2016, 9 (1) : 109-123. doi: 10.3934/dcdss.2016.9.109
[6]

Ardeshir Ahmadi, Hamed Davari-Ardakani. A multistage stochastic programming framework for cardinality constrained portfolio optimization. Numerical Algebra, Control & Optimization, 2017, 7 (3) : 359-377. doi: 10.3934/naco.2017023
[7]

Luke Finlay, Vladimir Gaitsgory, Ivan Lebedev. Linear programming solutions of periodic optimization problems: approximation of the optimal control. Journal of Industrial & Management Optimization, 2007, 3 (2) : 399-413. doi: 10.3934/jimo.2007.3.399
[8]

Mehmet Duran Toksari, Emel Kizilkaya Aydogan, Berrin Atalay, Saziye Sari. Some scheduling problems with sum of logarithm processing times based learning effect and exponential past sequence dependent delivery times. Journal of Industrial & Management Optimization, 2021  doi: 10.3934/jimo.2021044
[9]

Xianchao Xiu, Ying Yang, Wanquan Liu, Lingchen Kong, Meijuan Shang. An improved total variation regularized RPCA for moving object detection with dynamic background. Journal of Industrial & Management Optimization, 2020, 16 (4) : 1685-1698. doi: 10.3934/jimo.2019024
[10]

Yuncherl Choi, Taeyoung Ha, Jongmin Han, Sewoong Kim, Doo Seok Lee. Turing instability and dynamic phase transition for the Brusselator model with multiple critical eigenvalues. Discrete & Continuous Dynamical Systems, 2021  doi: 10.3934/dcds.2021035
[11]

Shuting Chen, Zengji Du, Jiang Liu, Ke Wang. The dynamic properties of a generalized Kawahara equation with Kuramoto-Sivashinsky perturbation. Discrete & Continuous Dynamical Systems - B, 2021  doi: 10.3934/dcdsb.2021098
[12]

Hui Xu, Guangbin Cai, Xiaogang Yang, Erliang Yao, Xiaofeng Li. Stereo visual odometry based on dynamic and static features division. Journal of Industrial & Management Optimization, 2021  doi: 10.3934/jimo.2021059
[13]

Vladimir Gaitsgory, Ilya Shvartsman. Linear programming estimates for Cesàro and Abel limits of optimal values in optimal control problems. Discrete & Continuous Dynamical Systems - B, 2021  doi: 10.3934/dcdsb.2021102
[14]

Qing Liu, Bingo Wing-Kuen Ling, Qingyun Dai, Qing Miao, Caixia Liu. Optimal maximally decimated M-channel mirrored paraunitary linear phase FIR filter bank design via norm relaxed sequential quadratic programming. Journal of Industrial & Management Optimization, 2021, 17 (4) : 1993-2011. doi: 10.3934/jimo.2020055
[15]

Demou Luo, Qiru Wang. Dynamic analysis on an almost periodic predator-prey system with impulsive effects and time delays. Discrete & Continuous Dynamical Systems - B, 2021, 26 (6) : 3427-3453. doi: 10.3934/dcdsb.2020238

2019 Impact Factor: 1.366

Tools

Metrics

  • PDF downloads (126)
  • HTML views (1019)
  • Cited by (0)

Other articles
by authors

[Back to Top]

Copyright © 2021 American Institute of Mathematical Sciences