• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 56 Issue 4
Jul.  2021
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Article Contents
MAO Xinhua, WANG Jianwei, YUAN Changwei. Maintenance Scheduling Model for Road Networks Considering Payment Modes[J]. Journal of Southwest Jiaotong University, 2021, 56(4): 736-743. doi: 10.3969/j.issn.0258-2724.20200192
Citation: MAO Xinhua, WANG Jianwei, YUAN Changwei. Maintenance Scheduling Model for Road Networks Considering Payment Modes[J]. Journal of Southwest Jiaotong University, 2021, 56(4): 736-743. doi: 10.3969/j.issn.0258-2724.20200192

Maintenance Scheduling Model for Road Networks Considering Payment Modes

doi: 10.3969/j.issn.0258-2724.20200192
  • Received Date: 15 Apr 2020
  • Rev Recd Date: 16 Jul 2020
  • Available Online: 14 Aug 2020
  • Publish Date: 15 Aug 2021
  • To ensure that the maintenance contractor obtains the maximum present value of revenue, the road network maintenance scheduling problem was explored under different payment modes of the client. First, three payment modes, i.e., time-based payment mode, progress-based payment mode and maintenance-cost-based payment mode were defined. Second, a mixed integer nonlinear programming model for maintenance scheduling was built with the goal of maximizing the present value of the contractor ’s revenue, and a tabu search algorithm was used to solve the model. Finally, the proposed model and algorithm were validated by a case study. Research results show that three different payment modes have large differences in terms of the road segments assigned to each maintenance crew and the maintenance sequence of each road segment. When the contractor’s advanced capital reaches a certain level, the continual rise of advance-fund capability may not be able to result in a better maintenance scheduling solution and cannot produce more present value of revenue. The relationship between the client’s payment ratio and the present value of revenue is close to monotonically increasingwhereas there is a negative exponential relationship between the discount rate and the present value of revenue. Increasing the number of maintenance crews can have more present value of revenue, but its marginal benefits are gradually reduced. Only when the contractor’s advance-fund capability and the number of maintenance crews increase synchronously, can more present value of revenue be obtained.

     

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  • HACKL J, ADEY B T, LETHANH N. Determination of near-optimal restoration programs for transportation networks following natural hazard events using simulated annealing[J]. Computer-Aided Civil and Infrastructure Engineering, 2018, 33: 618-637.
    CERAVOLO R, MIRAGLIA G, SURACE C. Strategy for the maintenance and monitoring of electric road infrastructures based on recursive lifetime prediction[J]. Journal of Civil Structural Health Monitoring, 2017, 7: 303-314. doi: 10.1007/s13349-017-0227-6
    YU B, GUO Z, PENG Z, et al. Agent-based simulation optimization model for road surface maintenance scheme[J]. Journal of Transportation Engineering,Part B:Pavements, 2019, 145(1): 1-9.
    FONTAINE P, MINNER S. A dynamic discrete network design problem for maintenance planning in traffic networks[J]. Annals of Operations Research, 2017, 253(2): 757-772. doi: 10.1007/s10479-016-2171-y
    SANTOS J, FERREIRA A, FLINTSCH G, et al. A multi-objective optimisation approach for sustainable pavement management[J]. Structure and Infrastructure Engineering, 2018, 14(7): 854-868. doi: 10.1080/15732479.2018.1436571
    ZHANG L, FU L, GU W, et al. A general iterative approach for the system-level joint optimization of pavement maintenance,rehabilitation,and reconstruction planning[J]. Transportation Research Part B:Methodological, 2017, 105: 378-400.
    CHU J C, HUANG K H. Mathematical programming framework for modeling and comparing network-level pavement maintenance strategies[J]. Transportation Research Part B:Methodological, 2018, 109: 1-25.
    TORRES-MACHI C, PELLICER E, YEPES V, et al. Towards a sustainable optimization of pavement maintenance programs under budgetary restrictions[J]. Journal of Cleaner Production, 2017, 148: 90-102.
    DENYSIUK R, MOREIRA A V, MATOS J C, et al. Two-stage multiobjective optimization of maintenance scheduling for pavements[J]. Journal of Infrastructure Systems, 2017, 23(3): 04017001.1-04017001.12.
    ZHANG W, WANG N, NICHOLSON C. Resilience-based post-disaster recovery strategies for road-bridge networks[J]. Structure and Infrastructure Engineering, 2017, 13(11): 1404-1413. doi: 10.1080/15732479.2016.1271813
    LI Y, DONG Y, FRANGOPOL D M, et al. Long-term resilience and loss assessment of highway bridges under multiple natural hazards[J]. Structure and Infrastructure Engineering, 2020, 16(4): 626-641. doi: 10.1080/15732479.2019.1699936
    LI Z, JIN C, HU P, et al. Resilience-based transportation network recovery strategy during emergency recovery phase under uncertainty[J]. Reliability Engineering & System Safety, 2019, 188: 503-514.
    YEPES V, TORRES-MACHI C, CHAMORRO A, et al. Optimal pavement maintenance programs based on a hybrid greedy randomized adaptive search procedure algorithm[J]. Journal of Civil Engineering and Management, 2016, 22(4): 540-550. doi: 10.3846/13923730.2015.1120770
    SCHOBI R, CHATZI E N. Maintenance planning using continuous-state partially observable Markov decision processes and non-linear action models[J]. Structure and Infrastructure Engineering, 2016, 12(8): 977-994.
    KUHN K D. Network-level infrastructure management using approximate dynamic programming[J]. Journal of Infrastructure Systems, 2010, 16(2): 103-111. doi: 10.1061/(ASCE)IS.1943-555X.0000019
    MEDURY A, MADANAT S. Incorporating network considerations into pavement management systems:a case for approximate dynamic programming[J]. Transportation Research Part C:Emerging Technologies, 2013, 33: 134-150.
    DURANGO-COHEN P L, SARUTIPAND P. Maintenance optimization for transportation systems with demand responsiveness[J]. Transportation Research Part C:Emerging Technologies, 2009, 17(4): 337-348.
    OZER H, YANG R, AL-QADI I L. Quantifying sustainable strategies for the construction of highway pavements in Illinois[J]. Transportation Research Part D:Transport and Environment, 2017, 51: 1-13.
    何正文,郑维博,刘人境. 不同支付条件银行授信约束折现流项目调度[J]. 系统工程理论与实践,2016,36(8): 2013-2023. doi: 10.12011/1000-6788(2016)08-2013-11

    HE Zhengwen, ZHENG Weibo, LIU Renjing. Creditconstrained project scheduling with discounted cash flow under different payment terms[J]. System Engineering−Theory and Practice, 2016, 36(8): 2013-2023. doi: 10.12011/1000-6788(2016)08-2013-11
    NABER A. Resource-constrained project scheduling with flexible resource profiles in continuous time[J]. Computers & Operations Research, 2017, 84: 33-45.
    SHAO S, XU S X, HUANG G Q. Variable neighborhood search and tabu search for auction-based waste collection synchronization[J]. Transportation Research Part B:Methodological, 2020, 133(3): 1-20.
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