A note on the truck and trailer routing problem

Lin, Shih-Wei; Yu, Vincent F.; Chou, Shuo‐Yan

doi:10.1016/j.eswa.2009.06.077

Cited by 46 publications

(29 citation statements)

References 24 publications

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“…In paper [24], authors proposed a model based on fuzzy logic that assigns different types of vehicles to planned transport tasks. The important savings of transport costs can be achieved through the vehicle routing improvements [25,26]. According to [13], many of operational measures involve use of more advanced systems of information technology, which can support and improve vehicle routing, scheduling operations and return loading.…”

Section: Literature Reviewmentioning

confidence: 99%

Influence of an integrated maintenance management on the vehicle fleet energy efficiency

Vujanovic¹,

Momcilovic²,

Medar³

2018

THERM SCI

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Integrated fleet maintenance management represents implementation of measures, actions and decision making with the aim of decreasing total maintenance costs and increasing energy efficiency fulfilling requirements of three interdependent components: transport, maintenance and their environment. Therefore, a methodology for integrated fleet maintenance management is developed and presented in this paper. The purpose of the methodology is to contribute in increasing fleet's energy efficiency and evaluate managers' fleet maintenance management efficiency. The methodology was implemented in the company with own light and medium goods vehicle fleet. According to realized values of defined indicators, the maintenance management has become more efficient in the observed period. It contributed to specific fuel consumption reduction per transport volume, thereby increasing fleet's energy efficiency. Further, the fleet size was reduced, which affected the rational realization of the given transport volume in the observed period.

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Section: Literature Reviewmentioning

confidence: 99%

Influence of an integrated maintenance management on the vehicle fleet energy efficiency

Vujanovic¹,

Momcilovic²,

Medar³

2018

THERM SCI

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“…On the extensions of the TTRP, Villegas et al [23] proposed two metaheuristics to solve the single truck and trailer routing problem with satellite depots (STTRPSD). Considering the number of available trucks and trailers being limited in the TTRP, Lin et al [24] relaxed the fleet size constraint and developed a SA heuristic for solving the relaxed truck and trailer routing problem (RTTRP). Lin et al [25] proposed a SA heuristic for solving the truck and trailer routing problem with time windows (TTRPTW).…”

Section: The Literature Reviewmentioning

confidence: 99%

“…The SA algorithm is one of the commonly used metaheuristics and has been successfully applied to solve several types of the VRP. Motivated by the success of the SA for the TTRP (e.g., [24,25]), we have therefore opted a heuristic algorithm based on the SA to solve the TSRP.…”

Section: A Two-stage Heuristic Algorithmmentioning

confidence: 99%

The Tractor and Semitrailer Routing Considering Carbon Dioxide Emissions

Zhao

et al. 2013

Mathematical Problems in Engineering

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The incorporation of the minimization of carbon dioxide (CO 2 ) emissions in the VRP is important to logistics companies. The paper deals with the tractor and semitrailer routing problem with full truckload between any two depots of the network; an integer programming model with the objective of minimizing CO 2 emissions per ton-kilometer is proposed. A two-stage approach with the same core steps of the simulated annealing (SA) in both stages is designed. The number of tractors is provided in the first stage and the CO 2 emissions per ton-kilometer are then optimized in the second stage. Computational experiments on small-scale randomly generated instances supported the feasibility and validity of the heuristic algorithm. To a practical-scale problem, the SA algorithm can provide advice on the number of tractors, the routes, and the location of the central depot to realize CO 2 emissions decrease.

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“…[16]. In the TTRP there are not fix costs associated with the vehicles although there are limitations on the number of available trucks and available trailers.…”

Section: Formal Definitionmentioning

confidence: 99%

Fuzzy constraints in the Truck and Trailer Routing Problem

Torres¹,

Rosete²,

Cruz³

et al. 2013

Procedings of the Fourth International Workshop on Knowledge Discovery, Knowledge Management and Decision Support

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Techniques based on Soft Computing are useful to solve real-world problems where decision makers use subjective knowledge when making decisions. In many problems in transport and logistics it is necessary to take into account that the available knowledge about the problem is imprecise or uncertain. Truck and Trailer Routing Problem (TTRP) is one of most recent and interesting problems in transport routing planning. Most of models used in the literature assume that the data available are accurate; for this reason it would be appropriate to focus research toward defining TTRP models for incorporating the uncertainty present in their data.

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A note on the truck and trailer routing problem

Cited by 46 publications

References 24 publications

Influence of an integrated maintenance management on the vehicle fleet energy efficiency

Influence of an integrated maintenance management on the vehicle fleet energy efficiency

The Tractor and Semitrailer Routing Considering Carbon Dioxide Emissions

Fuzzy constraints in the Truck and Trailer Routing Problem

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