Route planning for a mixed delivery system in long distance transportation and comparison with pure delivery systems

Royo, Beatriz; Fraile, Alberto; Larrodé, Emilio; Muerza, Victoria

doi:10.1016/j.cam.2015.03.042

Cited by 10 publications

(5 citation statements)

References 16 publications

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“…In [40], A. Fraile et al propose a decision model that allows, through a Geographic Information System to determine in an urban setting, the possible optimal locations of various facilities that would make up a new use for the transport infrastructure or logistic sector. B. Royo et al provide in [41] a solution of the long distance routing problem to help pallet and package delivery companies to the decision making, considering a mixed delivery system to improve the use of resources. Finally, R. Criado et al [42] analyze families of rankings by studying structural properties of graphs.…”

Section: Editorial / Journal Of Computational and Applied Mathematics (mentioning

confidence: 99%

Mathematical modeling and computational methods

Torregrosa

Jódar

López

et al. 2016

Journal of Computational and Applied Mathematics

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Section: Editorial / Journal Of Computational and Applied Mathematics (mentioning

confidence: 99%

Mathematical modeling and computational methods

Torregrosa

Jódar

López

et al. 2016

Journal of Computational and Applied Mathematics

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“…Arnäs et al [44] developed a platform for transporters' hybrid shipment control of less-than-truckload (LTL) transport networks to reduce resource requirements and carbon emissions. Royo et al [12] proposed a mixed delivery system for pallet and package delivery companies to improve the use of resources, which is preferable to a pure system. Atasoy et al [45] proposed a mixed-integer programming formulation for pickup and delivery problems with time windows to trade off the interests of platform providers, shippers, and carriers and used a dynamic pricing approach to ensure that carriers are better off collaborating.…”

Section: Related Workmentioning

confidence: 99%

“…To quantify the economic and environmental benefits of collaboration by companies, Palmer et al [11] reported a 23% reduction in cost with 58% fewer road kilometers traveled and a 46% reduction in CO2 emissions in an actual strategy examination. Second, research on the improvement of optimization algorithms remains limited in the literature [6,12,13]. To reduce the overall cost and related environmental and social impacts, Muñoz-Villamizar et al [14] proposed a biased randomization-based algorithm to solve the problem with a multiobjective function to explore the relationships between delivery and environmental costs.…”

Section: Introductionmentioning

confidence: 99%

Evolutionary game analysis of three parties in logistics platforms and freight transportation companies’ behavioral strategies for horizontal collaboration considering vehicle capacity utilization

Deng

Zhou

et al. 2022

Complex Intell. Syst.

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In China, logistics platforms are an effective way to solve vehicle capacity utilization using information sharing. However, most logistics platforms do not possess operational sustainability due to excessive profit-seeking. To address this problem, conflicts of interest among freight transportation participants are discussed using a stakeholder approach. A three-player evolutionary game model (TEGM) is developed to analyze the interactions among freight carriers, freight shippers, and logistics platforms. Then, the asymptotic equilibrium and evolutionary stability strategies of the three-player game are analyzed. The results indicate that a high-level positive network externality is the driving force behind the logistics platform’s “high-level service”. A fairness payment incentive guarantees a “sharing” strategy for freight carriers and shippers. When the high-level positive network externality is limited and lower than a threshold value, there is no stable equilibrium point in the TEGM. A government tax incentive cannot change the freight carriers’ and shippers’ strategy to participate in this horizontal collaboration system, except for the logistics platform’s probability of providing “high-level service”. However, the behavioral strategies of the freight transportation participants can be changed to achieve the sustainability of freight transportation by reducing the value-added tax rate through the logistics platform and increasing the high-level positive network externality of the logistics platform and other participants’ perceived fairness through a payment incentive. Finally, suggestions for regulating the behaviors of freight transportation participants and promoting the sustainability of freight transportation are discussed.

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“…[15] bases their formulation on dynamic fuzzy logic approach to deal with the dynamic capacitated dial-a-ride. Other works as in [16] and [17] show how even long distance transport also requires of dynamic controls of orders and scheduling approaches.…”

Section: Literature Reviewmentioning

confidence: 99%

A cooperative waiting strategy based on elliptical areas for the Dynamic Pickup and Delivery Problem with Time Windows

Escuín

Larrodé

Millán

2016

J of Advced Transportation

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The purpose of this paper to present a cooperative scheduling algorithm for solving the Dynamic Pickup and Delivery Problem with Time Windows (DPDPTW). The idea behind cooperative waiting strategies is to calculate simultaneously the waiting times for all nodes in the solution. Classical non-cooperative scheduling algorithms perform the scheduling for each route independently of the scheduling of the other routes. We present the Cooperative Scheduling Problem (CSP) based on the elliptical areas generated by vehicles waiting at their nodes. The CSP is solved by means of a genetic algorithm and is evaluated by using a set of benchmarks based on real-life data found in the literature. Initially, two waiting strategies are presented: Wait-Early-Time scheduling and Balanced-Departure scheduling. Extensive empirical simulations have been carried out by analyzing the degree of dynamism and the average waiting time, a new concept defined to take into account the gap between the time windows of pickup and delivery nodes. Copyright

show abstract

Route planning for a mixed delivery system in long distance transportation and comparison with pure delivery systems

Cited by 10 publications

References 16 publications

Mathematical modeling and computational methods

Mathematical modeling and computational methods

Evolutionary game analysis of three parties in logistics platforms and freight transportation companies’ behavioral strategies for horizontal collaboration considering vehicle capacity utilization

A cooperative waiting strategy based on elliptical areas for the Dynamic Pickup and Delivery Problem with Time Windows

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