Automation of the Road Gate Operations Process at the Container Terminal—A Case Study of DCT Gdańsk SA
Karol Moszyk,
Mariusz Deja and
Michal Dobrzynski
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Karol Moszyk: Doctoral Studies-Implementation Doctorate, Faculty of Mechanical Engineering and Ship Technology, Gdańsk University of Technology, G. Narutowicza Str. 11/12, 80-233 Gdańsk, Poland
Mariusz Deja: Department of Manufacturing and Production Engineering, Faculty of Mechanical Engineering and Ship Technology, Gdańsk University of Technology, G. Narutowicza Str. 11/12, 80-233 Gdańsk, Poland
Michal Dobrzynski: Department of Manufacturing and Production Engineering, Faculty of Mechanical Engineering and Ship Technology, Gdańsk University of Technology, G. Narutowicza Str. 11/12, 80-233 Gdańsk, Poland
Sustainability, 2021, vol. 13, issue 11, 1-19
Abstract:
The future increased terminal capacity will result in more container movement through the road complex and rail siding, which are one of the most critical areas (potential bottlenecks) in the container terminal. Truck turnaround time is one of the major factors that customers take into account while deciding how many container volumes they will handle through the container terminal. To enable to optimize increased traffic with future container terminal development, as well as increase gates throughput, and as a consequence, encourage more volume and increase customer satisfaction, Deepwater Container Terminal Gdańsk SA plans to reorganize and automatize the gate operation process. Gate automation includes supply, installation, commissioning, implementation, and maintenance of software and hardware that would allow automatizing the handling of trucks at container terminal gates by using OCR (optical camera recognition) technology, LPR (license plate recognition) systems and self-service kiosk for truck drivers.
Keywords: container terminal; optical camera recognition; OCR; gate automation; process automation; container handling (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (2)
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