Profit allocation mechanisms for carrier collaboration in pickup and delivery service

Dai, Bo; Chen, Haoxun

doi:10.1016/j.cie.2011.11.029

Cited by 106 publications

(51 citation statements)

References 19 publications

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“…Liu et al (2010) directly incorporate the marginal contributions of players as weights into the EPM formulation. Dai and Chen (2012) draw attention to allocations in the core with the property that the greatest deviation from the Shapley value is minimum. Finally, Vanovermeire et al (2013) and Lozano et al (2013) discuss the different outcomes of various solutions in transportation contexts via numerical examples.…”

Section: Literature Reviewmentioning

confidence: 99%

A competitive solution for cooperative truckload delivery

2015

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This paper introduces a solution for gain sharing in consortia of logistic providers where joint planning of truckload deliveries enables the reduction of empty kilometers. The highly competitive nature of freight transport markets necessitates solutions that distinguish among the logistics providers based on their characteristics, even in situations with two players only. We introduce desirable properties in these situations and propose a solution that satisfies such properties. By comparing the existing solutions against the introduced properties we demonstrate the advantages of our proposed solution.

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Section: Literature Reviewmentioning

confidence: 99%

A competitive solution for cooperative truckload delivery

2015

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“…where formulas (16) and (17) are used to update both the velocity and position for pickup services and formulas (18) and (19) are used to update both the velocity and position for delivery services. 1 and 2 are two acceleration coefficients.…”

Section: Ga Updates and The Corresponding Pso Operationsmentioning

confidence: 99%

“…In logistics network cooperation, game theoretic methods are usually applied to model participants' behaviors in different scenarios and evaluate their contribution to the coalition as well as the proportion of allocated profits [19,20]. Hernández and Peeta [21] evaluated the influences of collaboration mechanism on carriers and explored the differences with noncollaborative environments.…”

Section: Introductionmentioning

confidence: 99%

Design and Profit Allocation in Two-Echelon Heterogeneous Cooperative Logistics Network Optimization

Wang

Yuan

Assogba

et al. 2018

Journal of Advanced Transportation

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In modern supply chain, logistics companies usually operate individually and optimization researches often concentrate on solving problems related to separate networks. Consequences like the complexity of urban transportation networks and long distance deliveries or pickups and pollution are leading problems to more expenses and more complaints from environment protection organizations. A solution approach to these issues is proposed in this article and consists in the adoption of two-echelon heterogeneous cooperative logistics networks (THCLN). The optimization methodology includes the formation of cooperative coalitions, the reallocation of customers to appropriate logistics facilities, and the determination of the best profit allocation scheme. First, a mixed integer linear programing model is introduced to minimize the total operating cost of nonempty coalitions. Thus, the Genetic Algorithm (GA) and the Particle Swarm Optimization (PSO) algorithm are hybridized to propose GA-PSO heuristics. GA-PSO is employed to provide good solutions to customer clustering units' reallocation problem. In addition, a negotiation process is established based on logistics centers as coordinators. The case study of Chongqing city is conducted to verify the feasibility of THCLN in practice. The grand coalition and two heterogeneous subcoalitions are designed, and the collective profit is distributed based on cooperative game theory. The Minimum Cost Remaining Savings (MCRS) model is used to determine good allocation schemes and strictly monotonic path principles are considered to evaluate and decide the most appropriate coalition sequence. Comparisons proved the combination of GA-PSO and MCRS better as results are found closest to the core center. Therefore, the proposed approach can be implemented in real world environment, increase the reliability of urban logistics network, and allow decision makers to improve service efficiency.

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“…Chan and Zhang used a simulation methodology to evaluate the impact of collaborative transportation [45]. Dai and Chen developed three profit allocation mechanisms for the carrier collaboration problem [46]. Lozano et al employed a cooperative game theory to allocate benefits for different transportation companies [47].…”

Section: Introductionmentioning

confidence: 99%

Liner Shipping Fleet Deployment with Sustainable Collaborative Transportation

Sun

Weng

2016

Sustainability

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Facing sharp competition in the market for shipping companies, it is necessary to make reasonable and efficient decisions to optimize the container shipping line network so as to improve the shipping efficiency and reduce the transportation cost, as well as to realize the transportation sustainability. Therefore, the liner ship fleet deployment problem with collaborative transportation is proposed in this paper. This problem is formulated as a mixed-integer linear programming model that takes collaborative transportation into consideration. The model includes fixed cost, variable cost, berth cost, transport cost, penalty, compensation cost, and so on. To achieve the sustainable development of collaborative transportation, the shipping companies could make a selection between the internal routes and the external routes to serve each task by comparing the distance between the above routes. A real Asia-Europe-Oceania numerical experiment shows that the proposed sustainable collaborative transportation model can be efficiently solved by C++ calling ILOG CPLEX. Results demonstrate that the optimized shipping line network with sustainable collaborative transportation can improve the service efficiency, as well as the service level of shipping companies.

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Profit allocation mechanisms for carrier collaboration in pickup and delivery service

Cited by 106 publications

References 19 publications

A competitive solution for cooperative truckload delivery

A competitive solution for cooperative truckload delivery

Design and Profit Allocation in Two-Echelon Heterogeneous Cooperative Logistics Network Optimization

Liner Shipping Fleet Deployment with Sustainable Collaborative Transportation

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