Academic Journal of Computing & Information Science, 2020, 3(5); doi: 10.25236/AJCIS.2020.030506.
Wang Shuang1,*, Huaili Chen2
1 Institute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai 201306, China
2 Institute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai 201306, China
Crowdsourcing logistics participating in distribution can reduce the cost of logistics distribution. In order to ensure the timeliness of distribution and make full use of social underused assets, crowdsourcing logistics is introduced into traditional distribution for collaborative distribution to reduce logistics transportation costs. In order to improve the enthusiasm of occasional drivers and better reduce the cost of logistics companies, different incentive strategies are proposed for occasional drivers, and a dynamic compensation plan is proposed based on the static compensation plan. The solution is solved by a two-stage method. The first stage allocates orders to the occasional drivers based on the fuzzy integral evaluation model, and the second stage sends the orders not delivered by the occasional drivers to the logistics company for distribution and route planning, using genetic algorithms and simulated annealing algorithm combined with memory simulated annealing algorithm to solve. The results show that the dynamic compensation scheme further affects the transportation cost of logistics by influencing the enthusiasm of occasional drivers, and the appropriate compensation scheme can reduce the transportation cost of logistics to a greater extent.
crowdsourcing logistics;collaborative distribution, compensation plant, fuzzy integral evaluation model,genetic algorithm,simulated annealing algorith
Wang Shuang, Huaili Chen. Modeling and solving method of logistics collaborative distribution problem involving crowdsourcing mode under compensation incentive strategy. Academic Journal of Computing & Information Science (2020), Vol. 3, Issue 5: 35-46. https://doi.org/10.25236/AJCIS.2020.030506.
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