2469. Stochastic Dual Cycling in RoRo shipping
Invited abstract in session MC-32: Stowage Planning and Vessel Operations, stream Maritime and Port Logistics.
Monday, 12:30-14:00Room: Maurice Keyworth 1.09
Authors (first author is the speaker)
| 1. | Dario Pacino
|
| Department of Management, Technology and Economics, Technical University of Denmark | |
| 2. | Magnus Vilhelm Barrett Levinsen
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| Department of People and Technology, Roskilde University | |
| 3. | LINE REINHARDT
|
| Institute for people and technology, Roskilde universitet |
Abstract
In recent years, academic interest in Roll-On Roll-Off (RORO) shipping decision support has grown. The increase has particularly revolved around studies on automated stowage planning. RORO planning problems, in contrast to their container-based counterparts, have a high degree of uncertainty. In this presentation, we will explore the dual-cycling problem, where the sequence in which cargo is loaded and discharged is optimized. Dual-cycling exploits the possibility of concurrently executing load and discharge operations, and hence aims to minimize the empty trips of terminal vehicles. Optimal (or near-optimal) solutions can be efficiently solved with state-of-the-art techniques when considering a deterministic problem. Unfortunately, the RORO industry operates with up to a 60% uncertainty in cargo data. In this study, we will present a two-stage stochastic program that models the uncertainty in cargo arrival times. We also propose an efficient rolling horizon approach to solve the problem.
Keywords
- Maritime applications
- Transportation
- Stochastic Models
Status: accepted
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