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2603. Model and a Memetic Algorithm for Berth Allocation in Multipurpose Inland Waterway Terminals
Invited abstract in session MD-62: Seaside Planning II, stream OR in Port Operations.
Monday, 14:30-16:00Room: S12 (building: 101)
Authors (first author is the speaker)
1. | Jiyin Liu
|
Loughborough Business School, Loughborough University | |
2. | Adnan Pasha
|
Department of Civil Engineering, Indian Institute of Technology Roorkee | |
3. | Rajat Rastogi
|
Department of Civil Engineering, Indian Institute of Technology Roorkee |
Abstract
Inland water transport terminals, especially those in developing countries, are commonly used for handling multiple cargo types. Berth allocation in such multipurpose terminals has special features different from that in specialized seaport terminals. While existing berth allocation research primarily focused on specialized terminals, this study investigates the discrete berth allocation problem in multipurpose inland water terminals considering the diverse cargo types and unique operational constraints involved. The problem is first formulated as a mixed integer linear programming model with the objective of minimizing the waiting and completion times of barges. A memetic algorithm is developed to obtain near-optimal solutions efficiently. Real-world data from an Indian inland water terminal are used to conduct computational experiments which demonstrate the model’s effectiveness and the algorithm's efficiency. The developed method has the potential to be incorporated into the operations planning system of inland water terminals in developing nations to help improve their productivity.
Keywords
- Logistics
- Metaheuristics
- Optimization Modeling
Status: accepted
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