A combined data mining – optimization approach to manage trucks operations in container terminals with the use of a TAS: Application to an Italian and a Mexican port

Claudia Caballini, Maria D. Gracia, Julio Mar-Ortiz and Simona Sacone

Transportation Research Part E: Logistics and Transportation Review, 2020, vol. 142, issue C

Abstract: This paper relates with the assignment of trucks to time slots in container terminals equipped with Truck Appointment Systems. A two-phase approach is provided: first, export and import containers are matched in tuples with a clustering analysis to reduce the number of empty trips and, then, tuples are assigned to time slots to minimize trucks deviation from their preferred time slots and truck turnaround times. Real case instances related to Mexican and Italian container terminals are tested. Results show that our approach reduces empty-truck trips up to 33.79% and that it can be successfully applied to any container terminal.

Keywords: Truck appointment systems; Data mining; Clustering analysis; Optimization; Truck turnaround time; Empty truck trip minimization; Double move; Preferred time slot (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (5)

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DOI: 10.1016/j.tre.2020.102054

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