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• W3008872280 abstract "Two of the most important supply chain activities are the planning and improvement ofthe packing and distribution of products. These can be studied by means of VehicleRouting Problems (VRPs) and Packing Problems (PPs). Analyzing these operationsseparately, and considering only economic aspects, may result in impractical solutionsand in overlooking the environmental and social aspects of distribution activities. Withthe aim of addressing these issues, this thesis presents optimization models andcomputational solution procedures for the Vehicle Routing Problem with LoadingConstraints (VRPLC), considering economic, environmental and social aspects (i.e. theTriple-Bottom-Line (TBL) objectives for sustainability). It also analyzes the effect ofthese aspects on routing and packing decisions.The thesis starts with a systematic review of the PP, VRP and VRPLC literature, toidentify commonly used objective functions and constraints. These are then linked to thethree TBL dimensions. This is followed by the formulation of a VRPLC model, whichconsiders optimization criteria and operational constraints that have not been consideredsimultaneously in previous studies. Although the model can be used to solve problems ofsmall size, large-sized instances can be computationally intractable and require the use ofan alternative solution method. In this regard, an efficient hybrid heuristic procedure,which combines a Greedy Randomized Adaptive Search Procedure and a Clarke andWright Savings Algorithm, is developed to solve the initial model.To specify a more relevant VRPLC application, which is efficient not only in economicterms but in environmental and social criteria as well, these initial findings are then usedin the formulation of a VRPLC+TBL model. This extends the VRPLC model to considerthe TBL dimensions in terms of profits, fuel consumption, safety features for driving onroads, and equitable distribution of the total payload across the vehicle fleet. Assigningthe same payload to each driver, however, may not be possible and worker dissatisfactionmay arise due to unfair workload assignments. Using the concepts of Simheuristics, theVRPLC+TBL model is integrated with the design of incentive contracts, to provide amechanism to compensate workload imbalances and to further extend the socialdimension.Overall, this thesis makes a significant contribution to the body of knowledge of routingand loading operations by providing comprehensive models and efficient computationalsolution procedures that are easy to implement. It also addresses some of the gapsidentified in the area of sustainable supply chain management related to the developmentof quantitative models, heuristic methods, and the simultaneous consideration of all threeTBL dimensions. Finally, the thesis proposes some interesting ideas for further research." @default.
• W3008872280 created "2020-03-06" @default.
• W3008872280 creator A5051081956 @default.
• W3008872280 date "2018-01-01" @default.
• W3008872280 modified "2023-09-26" @default.
• W3008872280 title "Vehicle Loading and Routing for Sustainable Transportation: Models and Algorithms" @default.
• W3008872280 hasPublicationYear "2018" @default.
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