Urban Regional Logistics Distribution Path Planning Considering Road Characteristics

Abstract

Generally, road characteristics (such as the longitudinal slope and pavement damage) have an important effect on logistics distribution path, not only the vehicle fuel economy and driving safety but also the benefits and efficiency of logistics companies. It is necessary to explore the influence of road characteristics on logistics distribution path planning. First, a road characteristics evaluation value is defined to quantify road characteristics. With the application of analytic hierarchy process (AHP), the road characteristics evaluation index system with three criteria and eleven indices was built, and then the calculation of the road characteristics evaluation value is proposed based on the fuzzy comprehensive evaluation method. Secondly, a mathematical model of logistics distribution path planning is proposed, in which road characteristics and distance are comprehensively considered. Thirdly, an adaptive genetic algorithm (AGA) is presented with customized crossover operator for the solution of the mathematical model. Finally, through simulation by a real example, the influences of road characteristics and distance on the optimal distribution path are discussed, and the results show the model considering the road characteristics and distance comprehensively achieves superior distribution paths to that considering the distance or road characteristics only.

Optimal Transportation Scheduling of Prefabricated Components Based on Improved Hybrid Differential Firefly Algorithm

“…Equation (10) indicates that the departure time of two adjacent vehicles is greater than the loading time of the transportation to ensure that the vehicle is loaded; equation (11) provides that at least one vehicle is available for deployment in the prefabricated component factory, and equation (12) indicates that the carrying capacity of all vehicles delivered can meet the needs of all construction sites.…”

“…When the number of prefabricated construction sites is large and the demand for prefabricated components is substantially high, it is difficult to ensure the timely arrival of prefabricated components and effective control of transportation costs by relying on personal experience. To effectively reduce the inventory and logistics costs, improve the supply chain environment of prefabricated components, and achieve environmental benefits, it is necessary to establish several prefabricated component factories in cities, scientifically and reasonably plan the component transportation service scope according to the transportation distance, and then use artificial intelligence algorithms for a scheduling scheme as an effective method of highly unifying social and economic benefits [11,12]. Prefabricated components will produce a large amount of transportation energy consumption in the process of transportation services.…”

Performance and Problem Analysis in Credit Card Delivery of PT ABC

“…Using quality management tools in the form of cause-effect diagrams and Pareto analysis, as well as using the Analytic Hierarchy Process (AHP) method, credit card delivery problems will be investigated more specifically. Referring to several studies [4], [5], this method is able to find priorities in decision making so that the focus on problem solving can be carried out thoroughly and more focused. This research is expected to map the problems faced by PT.…”