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Academic Journal of Computing & Information Science, 2020, 3(5); doi: 10.25236/AJCIS.2020.030506.

Modeling and solving method of logistics collaborative distribution problem involving crowdsourcing mode under compensation incentive strategy

Author(s)

Wang Shuang1,*, Huaili Chen2

Corresponding Author:
Wang Shuang
Affiliation(s)

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
*Corresponding Author

Abstract

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.

Keywords

crowdsourcing logistics;collaborative distribution, compensation plant, fuzzy integral evaluation model,genetic algorithm,simulated annealing algorith

Cite This Paper

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.

References

[1] H.M.Fan  ,J.X.Wu ,J.Geng ,Y.Li (2019).Vehicle routing problem with fuzzy demand and time window and its hybrid genetic algorithm solution[J].Journal of Systems Management,2020,29(01):107-118.)
[2] J .Andelmin , E .Bartolini (2019). A multi-start local search heuristic for the green vehicle routing problem based on a multigraph reformulation[J]. Computers & Operations Research, 2019.
[3] W.J.Wang ,Z.M.Sun  ,Q.Xiu (2018).A dynamic pricing model of crowdsourcing logistics services considering social distribution supply capabilities[J].Journal of Management,2018,15(02):293-3
[4] J.Mu ,T.Y.Du, S.Liu ,X.Y.Wang, C.Liu, G.L.Wang (2018) .Research on crowdsourcing logistics capacity scheduling based on instant delivery and revenue incentives[J]. Operations Research and Management,2018,27(05):58-65.
[5] C .Archetti, M .Savelsbergh , G .Speranza(2016) .The Vehicle Routing Problem with Occasional Drivers[J]. European Journal of Operational Research, 2016:S0377221716301953.
[6] L .Dahle , H .Andersson , M .Christiansen , et al.(2019). The Pickup and Delivery Problem with Time Windows and Occasional Drivers[J]. Computers & Operations Research, 2019.