AGENT-BASED TRUCK APPOINTMENT SYSTEM FOR CONTAINERS PICK-UP TIME NEGOTIATION
Congestion in the seaports area is a common issue in many parts of the world. The root cause of the long truck queue is the insufficient terminal resources to service the number of arriving trucks. It aggravated by the fluctuating truck arrivals, particularly at peak times. In response, a truck a...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/45286 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Congestion in the seaports area is a common issue in many parts of the world. The
root cause of the long truck queue is the insufficient terminal resources to service
the number of arriving trucks. It aggravated by the fluctuating truck arrivals,
particularly at peak times. In response, a truck appointment system (TAS) is
introduced to manage truck arrival. In the existing TAS mechanism, the scheduling
decision is centralized and disregards the concerns of trucking companies.
Moreover, such rigid TAS may complicate the business operation of trucking
companies that already have a constrained truck schedule.
This study proposes a decentralized negotiation mechanism in TAS that allows
trucking companies to adjust arrival times by utilizing the waiting time estimation
provided by the terminal operator. We develop an agent-based model of a TAS in
the container terminal pick-up procedure. The simulation results indicate that
compared to the existing TAS mechanism, the negotiation TAS mechanism
generates a shorter average truck turnaround time regardless of truck arrival rates.
In terms of average total pick-up cost, the negotiation TAS mechanism provides
better value under high truck arrival rate conditions. The incentive for trucking
companies to participate in the negotiations is high at peak times. |
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