Profit distribution in collaborative multiple centers vehicle routing problem

Wang, Yong; Ma, Xiaolei; Li, Zhibin; Liu, Yong; Xu, Maozeng; Wang, Yinhai

doi:10.1016/j.jclepro.2017.01.001

Cited by 168 publications

(86 citation statements)

References 55 publications

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“…Freight transport is modelled in terms of product flows, and the goal is to open a subset of distribution centres associated with the cooperating partners and decide on the total number of product units transported from the carriers' central depots to each distribution centre and from the distribution centres to the different customer zones. Wang et al (2017) Min. total cost The multiple centres vehicle routing problem is studied as an extension of the multi-depot vehicle routing problem.…”

Section: Referencementioning

confidence: 99%

Multi-objective optimisation models for the travelling salesman problem with horizontal cooperation

Defryn

Sörensen

2018

European Journal of Operational Research

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Section: Referencementioning

confidence: 99%

Multi-objective optimisation models for the travelling salesman problem with horizontal cooperation

Defryn

Sörensen

2018

European Journal of Operational Research

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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%

“…Guo et al [14] used GA and PSO to study forward and reverse flows of fresh food supply chains in Shanghai and verified the validity of the model under low-carbon emission environments. Wang et al [15,16] combined an improved ant colony algorithm with GA to optimize networks through the reassignment of customers to proper logistics facilities. Alshamsi and Diabat [17] introduced a GA capable of solving complex problems with thousands continuous and binary variables, constraints, and multiple integer variables.…”

Section: Introductionmentioning

confidence: 99%

“…Applications in the forest transportation domain and for oil operations have been used to verify the relevance of the proposed optimization model. Wang et al [15,16] introduced collaboration as means of optimizing a single echelon multiple centers vehicle routing problem and applied an improved version of the Shapley value model to allocate profit.…”

Section: Introductionmentioning

confidence: 99%

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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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“…The project benefits will almost certainly be reduced if both the owner and contractor tend to maximize and prioritize their own benefits [17,65]. Therefore, the optimal behavioral arrangements of these two parties are to achieve their own maximum benefits, but under the strict condition of maximizing the project benefit.…”

Section: Hypothesismentioning

confidence: 99%

A Multi-Objective Trade-Off Model in Sustainable Construction Projects

2017

Sustainability

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Based on the consideration of the relative importance of sustainability-related objectives and the inherent nature of sustainable construction projects, this study proposes that the contractor can balance the levels of efforts and resources used to improve the overall project sustainability. A multi-objective trade-off model using game theory was established and verified through simulation and numerical example under a moral hazard situation. Results indicate that effort levels of the contractor on sustainability-related objectives are positively related to the outcome coefficient while negatively to the coefficients of effort cost of the relevant objectives. High levels of the relative importance of sustainability-related objectives contribute to high levels of effort of the contractor. With the variation in effort levels and the coefficient of benefit allocation, the project net benefit increases before declining. The function of project benefit has a marked peak value, with an inverted "U" shape. An equilibrium always exists as for the given relative importance and coefficients of the effort costs of sustainability-related objectives. Under this condition, the owner may offer the contractor a less intense incentive and motivate the contractor reasonably arranging input resources. The coefficient of benefit allocation is affected by the contractor characteristic factors and the project characteristic factors. The owner should balance these two types of factors and select the most appropriate incentive mechanism to improve the project benefit. Meanwhile, the contractor can balance the relative importance of the objectives and arrange the appropriate levels of effort and resources to achieve a sustainability-related objective. Very few studies have emphasized the effects of the relative importance of sustainability-related objectives on the benefits of sustainable construction projects. This study therefore builds a multi-objective trade-off model to bridge this research gap. This study sheds significant theoretical and practical insights regarding the objective management of sustainability-related objectives, as well as insights into the improvement of performance in sustainable construction projects.

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Profit distribution in collaborative multiple centers vehicle routing problem

Cited by 168 publications

References 55 publications

Multi-objective optimisation models for the travelling salesman problem with horizontal cooperation

Multi-objective optimisation models for the travelling salesman problem with horizontal cooperation

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

A Multi-Objective Trade-Off Model in Sustainable Construction Projects

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