Please use this identifier to cite or link to this item: http://repository.kln.ac.lk/handle/123456789/25297
Title: A Review on City Logistics and Two Echelon Freight Modelling
Authors: Warnakulasuriya, M.M.
Niwunhella, D.H.H.
Nanayakkara, L.D.J.F.
Wickramarachchi, Ruwan
Keywords: City logistic modelling, Two-echelon freight consolidation, Logistic performance, Vehicle routing
Issue Date: 2020
Publisher: International Conference on Industrial Engineering and Operations Management
Citation: Warnakulasuriya, M.M.,Niwunhella, D.H.H., Nanayakkara, L.D.J.F. and Wickramarachchi, Ruwan(2020),A Review on City Logistics and Two Echelon Freight Modelling.International Conference on Industrial Engineering and Operations Management,986p
Abstract: When cities are growing in both size and complexity, the freight distribution and management make a significant challenge for transportation management. Freight transportation execution is one of the main sectors that is looked into when planning. The concept of city logistics explicitly tries to optimize the urban transport network and many optimization approaches have been introduced to optimize the vehicle routing methods considering several objectives. Since recent times, there is drawing attention for two-echelon freight consolidation modelling efforts with the emerging of megacities. This paper reviews the available literature under the city logistics modelling, and two-echelon freight consolidation for identifying the perspectives adhered. The study was conducted through a systematic review of literature using multiple studies published under the area of city logistic modeling and two-echelon-distribution modelling in thorough key word base search of city logistic modelling efforts, and performance parameters used for freight analysis within city networks from the findings. The review framework takes into account the diversity and complexity found in city logistics practices. It was evident that there is a lack of modelling efforts in two-echelon vehicle routing for city logistic combining with optimization models for dealing with multiple objective and modeling uncertainty.
URI: http://repository.kln.ac.lk/handle/123456789/25297
Appears in Collections:Industrial Management

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