Optimal strategies for scheduling rehabilitation and/or replacement of water mains can generally be classified as high-level planning of groups or cohorts of pipes, or low-level scheduling of individual water mains, which is the subject of this paper. An approach is proposed for the efficient scheduling of replacement of individual water mains. The approach receives as input the expected number of breaks forecasted for each pipe in a short to medium planning period. The present value (PV) of all costs that are associated with each individual pipe is computed and good candidate pipes for replacement within the planning period are identified. Candidate replacement policies are formulated, including economies of scale considerations as well as coordination with other known infrastructure works. A multi-objective genetic algorithm scheme is used as a tool to search a vast combinatorial solution space for feasible solutions that minimise PV of cost as well as maximise usage of available budgets. Various budget scenarios can also be considered, including global budget for the planning period as well as series of annual budgets for each year in the planning period.
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Cemagref Engees, Joint Res Unit Publ Util Management, F-67070 Strasbourg, FranceNatl Res Council Canada, Inst Res Construct, Ottawa, ON K1A 0R6, Canada
Nafi, Amir
Kleiner, Yehuda
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Natl Res Council Canada, Inst Res Construct, Ottawa, ON K1A 0R6, CanadaNatl Res Council Canada, Inst Res Construct, Ottawa, ON K1A 0R6, Canada
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Austrian Acad Sci, A-1010 Vienna, Austria
Univ Innsbruck, Dept Infrastructure, Unit Environm Engn, Technikerstr 13, A-6020 Innsbruck, AustriaAustrian Acad Sci, A-1010 Vienna, Austria
Minaei, Amin
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Hajibabaei, Mohsen
Savic, Dragan
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KWR Water Res Inst, NL-3430 PE Nieuwegein, Netherlands
Univ Exeter, Ctr Water Syst, North Pk Rd, Exeter EX4 4QF, EnglandAustrian Acad Sci, A-1010 Vienna, Austria
Savic, Dragan
Creaco, Enrico
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Dipartimento Ingn Civile & Architettura, Via Ferrata 3, I-27100 Pavia, ItalyAustrian Acad Sci, A-1010 Vienna, Austria
Creaco, Enrico
Sitzenfrei, Robert
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Univ Innsbruck, Dept Infrastructure, Unit Environm Engn, Technikerstr 13, A-6020 Innsbruck, AustriaAustrian Acad Sci, A-1010 Vienna, Austria
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Univ Santiago de Compostela, Dept Agroforestry Engn, Land Lab, Escuela Politecn Super Ingn, Campus Univ S-N, Lugo 27007, SpainUniv Santiago de Compostela, Dept Agroforestry Engn, Land Lab, Escuela Politecn Super Ingn, Campus Univ S-N, Lugo 27007, Spain
Garcia, Andres M.
Sant, Ines
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Univ Santiago de Compostela, Dept Agroforestry Engn, Land Lab, Escuela Politecn Super Ingn, Campus Univ S-N, Lugo 27007, SpainUniv Santiago de Compostela, Dept Agroforestry Engn, Land Lab, Escuela Politecn Super Ingn, Campus Univ S-N, Lugo 27007, Spain
Sant, Ines
Loureiro, Xurxo
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Univ Santiago de Compostela, Dept Agroforestry Engn, Land Lab, Escuela Politecn Super Ingn, Campus Univ S-N, Lugo 27007, SpainUniv Santiago de Compostela, Dept Agroforestry Engn, Land Lab, Escuela Politecn Super Ingn, Campus Univ S-N, Lugo 27007, Spain
Loureiro, Xurxo
Miranda, David
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Univ Santiago de Compostela, Dept Agroforestry Engn, Land Lab, Escuela Politecn Super Ingn, Campus Univ S-N, Lugo 27007, SpainUniv Santiago de Compostela, Dept Agroforestry Engn, Land Lab, Escuela Politecn Super Ingn, Campus Univ S-N, Lugo 27007, Spain