Last-mile delivery optimization considering the demand of market distribution methods: A case studies using Adaptive Large Neighborhood Search algorithm
نویسندگان
چکیده
Based on the current situation and problems of transportation "last mile" distribution, this paper establishes a path optimization model based user distribution methods from perspective market preference for methods, designs an Adaptive Large Neighborhood Search (ALNS) algorithm, builds portrait solution algorithm construction method. method, scenario is established, route method are planned five real location data. Through analysis scenarios, it can be obtained that after model, cost enterprises reduced, satisfaction service quality improved. The higher complaint cost, lower total rate; time window penalty rate. several comparisons, found optimized has obvious advantages in good performance satisfaction. To further strengthen promotion application countermeasures proposed three aspects: establishing unified end information platform, increasing investment optimization, strengthening formulation supporting policies to realize services.
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The Large Neighborhood Search metaheuristic for solving Constrained Optimization Problems has been proved to be effective on a wide range of problems. This Local Search heuristic has the particularity of using a complete search (such as Constraint Programming) to explore the large neighborhoods obtained by relaxing a fragment of the variables of the current solution. Large Neighborhood Search h...
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ژورنال
عنوان ژورنال: Advances in Production Engineering & Management
سال: 2022
ISSN: ['1855-6531', '1854-6250']
DOI: https://doi.org/10.14743/apem2022.3.441