-
Previous Article
A savings analysis of horizontal collaboration among VMI suppliers
- JIMO Home
- This Issue
-
Next Article
Coordinating the supplier-retailer supply chain under noise effect with bundling and inventory strategies
A note on network repair crew scheduling and routing for emergency relief distribution problem
Institute of Information Management, Department of Information Management and Finance, National Chiao Tung University, Hsinchu 300, Taiwan |
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.
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. |
| [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. |
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. |
| [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. |
| [1] |
Andrzej Nowakowski, Jan Sokolowski. On dual dynamic programming in shape control. Communications on Pure and Applied Analysis, 2012, 11 (6) : 2473-2485. doi: 10.3934/cpaa.2012.11.2473 |
| [2] |
Jérôme Renault. General limit value in dynamic programming. Journal of Dynamics and Games, 2014, 1 (3) : 471-484. doi: 10.3934/jdg.2014.1.471 |
| [3] |
Jiayu Shen, Yuanguo Zhu. An uncertain programming model for single machine scheduling problem with batch delivery. Journal of Industrial and Management Optimization, 2019, 15 (2) : 577-593. doi: 10.3934/jimo.2018058 |
| [4] |
Min-Fan He, Li-Ning Xing, Wen Li, Shang Xiang, Xu Tan. Double layer programming model to the scheduling of remote sensing data processing tasks. Discrete and Continuous Dynamical Systems - S, 2019, 12 (4&5) : 1515-1526. doi: 10.3934/dcdss.2019104 |
| [5] |
Oliver Junge, Alex Schreiber. Dynamic programming using radial basis functions. Discrete and Continuous Dynamical Systems, 2015, 35 (9) : 4439-4453. doi: 10.3934/dcds.2015.35.4439 |
| [6] |
Eduardo Espinosa-Avila, Pablo Padilla Longoria, Francisco Hernández-Quiroz. Game theory and dynamic programming in alternate games. Journal of Dynamics and Games, 2017, 4 (3) : 205-216. doi: 10.3934/jdg.2017013 |
| [7] |
Rein Luus. Optimal control of oscillatory systems by iterative dynamic programming. Journal of Industrial and Management Optimization, 2008, 4 (1) : 1-15. doi: 10.3934/jimo.2008.4.1 |
| [8] |
Qing Liu, Armin Schikorra. General existence of solutions to dynamic programming equations. Communications on Pure and Applied Analysis, 2015, 14 (1) : 167-184. doi: 10.3934/cpaa.2015.14.167 |
| [9] |
Siyu Liu, Xue Yang, Yingjie Bi, Yong Li. Dynamic behavior and optimal scheduling for mixed vaccination strategy with temporary immunity. Discrete and Continuous Dynamical Systems - B, 2019, 24 (4) : 1469-1483. doi: 10.3934/dcdsb.2018216 |
| [10] |
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 and Management Optimization, 2021, 17 (4) : 2051-2072. doi: 10.3934/jimo.2020058 |
| [11] |
Tengfei Yan, Qunying Liu, Bowen Dou, Qing Li, Bowen Li. An adaptive dynamic programming method for torque ripple minimization of PMSM. Journal of Industrial and Management Optimization, 2021, 17 (2) : 827-839. doi: 10.3934/jimo.2019136 |
| [12] |
Ryan Loxton, Qun Lin. Optimal fleet composition via dynamic programming and golden section search. Journal of Industrial and Management Optimization, 2011, 7 (4) : 875-890. doi: 10.3934/jimo.2011.7.875 |
| [13] |
Louis Caccetta, Syarifah Z. Nordin. Mixed integer programming model for scheduling in unrelated parallel processor system with priority consideration. Numerical Algebra, Control and Optimization, 2014, 4 (2) : 115-132. doi: 10.3934/naco.2014.4.115 |
| [14] |
Elham Mardaneh, Ryan Loxton, Qun Lin, Phil Schmidli. A mixed-integer linear programming model for optimal vessel scheduling in offshore oil and gas operations. Journal of Industrial and Management Optimization, 2017, 13 (4) : 1601-1623. doi: 10.3934/jimo.2017009 |
| [15] |
Haiying Liu, Wenjie Bi, Kok Lay Teo, Naxing Liu. Dynamic optimal decision making for manufacturers with limited attention based on sparse dynamic programming. Journal of Industrial and Management Optimization, 2019, 15 (2) : 445-464. doi: 10.3934/jimo.2018050 |
| [16] |
Behrad Erfani, Sadoullah Ebrahimnejad, Amirhossein Moosavi. An integrated dynamic facility layout and job shop scheduling problem: A hybrid NSGA-II and local search algorithm. Journal of Industrial and Management Optimization, 2020, 16 (4) : 1801-1834. doi: 10.3934/jimo.2019030 |
| [17] |
Wan Nor Ashikin Wan Ahmad Fatthi, Adibah Shuib, Rosma Mohd Dom. A mixed integer programming model for solving real-time truck-to-door assignment and scheduling problem at cross docking warehouse. Journal of Industrial and Management Optimization, 2016, 12 (2) : 431-447. doi: 10.3934/jimo.2016.12.431 |
| [18] |
Haibo Jin, Long Hai, Xiaoliang Tang. An optimal maintenance strategy for multi-state systems based on a system linear integral equation and dynamic programming. Journal of Industrial and Management Optimization, 2020, 16 (2) : 965-990. doi: 10.3934/jimo.2018188 |
| [19] |
Matthew H. Henry, Yacov Y. Haimes. Robust multiobjective dynamic programming: Minimax envelopes for efficient decisionmaking under scenario uncertainty. Journal of Industrial and Management Optimization, 2009, 5 (4) : 791-824. doi: 10.3934/jimo.2009.5.791 |
| [20] |
Jeongmin Han. Local Lipschitz regularity for functions satisfying a time-dependent dynamic programming principle. Communications on Pure and Applied Analysis, 2020, 19 (5) : 2617-2640. doi: 10.3934/cpaa.2020114 |
2020 Impact Factor: 1.801
Tools
Metrics
Other articles
by authors
[Back to Top]