2018
DOI: 10.1016/j.eswa.2018.06.037
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Two-echelon logistics delivery and pickup network optimization based on integrated cooperation and transportation fleet sharing

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Cited by 40 publications
(25 citation statements)
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“…A game theoretic approach has been developed to maximize productivity while ensuring fair profit allocation in collaborative multi-echelon supply chains [52]. Wang et al [53] proposed a cooperative strategy to minimize carbon emissions in pickup and delivery processes and designed a fair method of profit distribution based on cooperative game theory to stabilize alliances. In comparison with the aforementioned studies in the domain, the main contributions of this paper are listed in the following aspects: (1) it considers different types of resource sharing schemes, including sharing both within the same DC and across DCs to optimize a collaborative multicenter delivery network; (2) it establishes a bi-objective optimization model for the total operational cost and number of vehicles minimization based on resource sharing in multiple service periods; (3) it employs an AGPSO based on k-means customer clustering, which incorporates an efficient selective endowment mechanism and thus performs well in global and local research; and (4) it implements a real-world case study to evaluate the applicability of the proposed CMCLDN-RS model and approach, which contributes empirically to the literature on collaborative multi-echelon multi-period logistics network optimization, and then lays a foundation for the construction and sustainable development of intelligent transport systems.…”
Section: Profit Allocation In Collaborative Logistics Networkmentioning
confidence: 99%
See 1 more Smart Citation
“…A game theoretic approach has been developed to maximize productivity while ensuring fair profit allocation in collaborative multi-echelon supply chains [52]. Wang et al [53] proposed a cooperative strategy to minimize carbon emissions in pickup and delivery processes and designed a fair method of profit distribution based on cooperative game theory to stabilize alliances. In comparison with the aforementioned studies in the domain, the main contributions of this paper are listed in the following aspects: (1) it considers different types of resource sharing schemes, including sharing both within the same DC and across DCs to optimize a collaborative multicenter delivery network; (2) it establishes a bi-objective optimization model for the total operational cost and number of vehicles minimization based on resource sharing in multiple service periods; (3) it employs an AGPSO based on k-means customer clustering, which incorporates an efficient selective endowment mechanism and thus performs well in global and local research; and (4) it implements a real-world case study to evaluate the applicability of the proposed CMCLDN-RS model and approach, which contributes empirically to the literature on collaborative multi-echelon multi-period logistics network optimization, and then lays a foundation for the construction and sustainable development of intelligent transport systems.…”
Section: Profit Allocation In Collaborative Logistics Networkmentioning
confidence: 99%
“…A game theoretic approach has been developed to maximize productivity while ensuring fair profit allocation in collaborative multi-echelon supply chains [ 52 ]. Wang et al [ 53 ] proposed a cooperative strategy to minimize carbon emissions in pickup and delivery processes and designed a fair method of profit distribution based on cooperative game theory to stabilize alliances.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Wang et al [23] used a mixed-integer linear programming model to minimize the total operating cost of nonempty coalitions of two-echelon heterogeneous cooperative logistics networks and the GA-PSO algorithm to solve customer clustering units' reallocation problem. Wang et al [24] established a linear mathematical model to minimize the total cost of the two-echelon logistics delivery and pickup network (2E-LDPN) and solved it by combining an improved PSO algorithm with the ant colony optimization algorithm to create hybrid metaheuristics. In the above studies, different heuristics are used to solve the problem in combination with various models.…”
Section: Literature Reviewmentioning
confidence: 99%
“…In formula (24), C 0 (i) indicates that the participant i decides not to join the cooperation. In the next section, the cost reduction percentages η(i, π, u) are used to explain the SMP, a sequence wherein the cost reduction percentages for all committed participants monotonically increase with each new member.…”
Section: Mps Strategymentioning
confidence: 99%
“…Research by Niknejad and Petrovic (2014) studied the inventory control and production plan optimization of integrated reverse logistics network, and the forward path, repair and remanufacturing and two recovery paths and processing methods of integrated reverse logistics network are studied. Research by Wang, Peng et al (2018) showed through the establishment of cooperative alliance, the optimization of secondary logistics distribution and loading network can be effectively realized. With the coordination of existing network or logistics facilities of logistics service providers, the high operating cost of cross-long-distance transportation can be reduced by inclusive restructuring of the entire network.…”
Section: Network Competition and Cooperation Or Coordinationmentioning
confidence: 99%