Multi-Objective Simulation Optimization Integrated With Analytic Hierarchy Process and Technique for Order Preference by Similarity to Ideal Solution for Pollution Routing Problem

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dc.contributor.authorIpek, Aslı Boru
dc.date.accessioned2025-01-06T17:30:12Z
dc.date.available2025-01-06T17:30:12Z
dc.date.issued2023
dc.description.abstractRouting is one of the most important components of logistics and has a vital role in economic growth. Inefficient routing has also contributed to troubling pollutants that have adverse environmental effects worldwide. Over the years, operations research practitioners have therefore drawn considerable attention to the routing problem. In this paper, a pollution routing problem (PRP) with time window constraints and capacitated vehicles is considered to integrate environmental issues in routing for pollution reduction. This work introduces a simulation optimization methodology that includes the realization of important parameters in real-world applications to minimize the total lateness cost and fuel consumption. The proposed method was developed with Simio simulation software and non-dominated sorting genetic algorithm-II (NSGA-II). It evaluates the dynamic system operations over time and performs a comprehensive analysis. In addition, a two-step hierarchical multicriteria decision-making (MCDM) method is employed to choose the best strategy for PRP. Results of the two-step hierarchical MCDM method demonstrated that the strategy considering the total cost of supply chain is the best alternative for the proposed system. The use of MCDM methods after simulation can be a more robust and effective way to find solutions to such complex problems. © National Academy of Sciences: Transportation Research Board 2022.
dc.identifier.doi10.1177/03611981221105503
dc.identifier.endpage1674
dc.identifier.issn0361-1981
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85145351946
dc.identifier.scopusqualityQ2
dc.identifier.startpage1658
dc.identifier.urihttps://doi.org/10.1177/03611981221105503
dc.identifier.urihttps://hdl.handle.net/20.500.14669/1524
dc.identifier.volume2677
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSAGE Publications Ltd
dc.relation.ispartofTransportation Research Record
dc.relation.publicationcategoryKitap Bölümü - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241211
dc.subjectartificial intelligence
dc.subjectartificial intelligence and advanced computing applications
dc.subjectdata and data science
dc.titleMulti-Objective Simulation Optimization Integrated With Analytic Hierarchy Process and Technique for Order Preference by Similarity to Ideal Solution for Pollution Routing Problem
dc.typeBook Chapter

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