A novel model for sustainable waste collection arc routing problem: Pareto-based algorithms

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dc.authoridErfan Babaee Tirkolaee / 0000-0003-1664-9210en_US
dc.authorscopusidErfan Babaee Tirkolaee / 57196032874
dc.authorwosidErfan Babaee Tirkolaee / U-3676-2017
dc.contributor.authorTirkolaee, Erfan Babaee
dc.contributor.authorGoli, Alireza
dc.contributor.authorGutmen, Selma
dc.contributor.authorWeber, Gerhard-Wilhelm
dc.contributor.authorSzwedzka, Katarzyna
dc.date.accessioned2022-01-27T17:19:31Z
dc.date.available2022-01-27T17:19:31Z
dc.date.issued2022en_US
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractMunicipal solid waste (MSW) management is known as one of the most crucial activities in municipalities that requires large amounts of fixed/variable and investment costs. The operational processes of collection, transportation and disposal include the major part of these costs. On the other hand, greenhouse gas (GHG) emission as environmental aspect and citizenship satisfaction as social aspect are also of particular importance, which are inevitable requirements for MSW management. This study tries to develop a novel mixed-integer linear programming (MILP) model to formulate the sustainable periodic capacitated arc routing problem (PCARP) for MSW management. The objectives are to simultaneously minimize the total cost, total environmental emission, maximize citizenship satisfaction and minimize the workload deviation. To treat the problem efficiently, a hybrid multi-objective optimization algorithm, namely, MOSA-MOIWOA is designed based on multi-objective simulated annealing algorithm (MOSA) and multi-objective invasive weed optimization algorithm (MOIWOA). To increase the algorithm performance, the Taguchi design technique is employed to set the parameters optimally. The validation of the proposed methodology is evaluated using several problem instances in the literature. Finally, the obtained results reveal the high efficiency of the suggested model and algorithm to solve the problem.en_US
dc.identifier.citationTirkolaee, E.B., Goli, A., Gütmen, S. et al. A novel model for sustainable waste collection arc routing problem: Pareto-based algorithms. Ann Oper Res (2022).en_US
dc.identifier.doi10.1007/s10479-021-04486-2en_US
dc.identifier.issn0254-5330en_US
dc.identifier.issn1572-9338en_US
dc.identifier.pmid35068644en_US
dc.identifier.scopus2-s2.0-85123111722en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1007/s10479-021-04486-2
dc.identifier.urihttps://hdl.handle.net/20.500.12713/2430
dc.identifier.wosWOS:000744862000005en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.institutionauthorTirkolaee, Erfan Babaee
dc.language.isoenen_US
dc.publisherSPRINGERen_US
dc.relation.ispartofANNALS OF OPERATIONS RESEARCHen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectSustainable Waste Collectionen_US
dc.subjectMunicipal Solid Wasteen_US
dc.subjectPeriodic Capacitated Arc Routing Problemen_US
dc.subjectMulti-objective Simulated Annealingen_US
dc.subjectMulti-objective Invasive Weed Optimization Algorithmen_US
dc.subjectTaguchi Designen_US
dc.titleA novel model for sustainable waste collection arc routing problem: Pareto-based algorithmsen_US
dc.typeArticleen_US

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