In this paper, we consider a general chemical transshipment problem, where multiple carriers perform transshipment operations at a common transfer location. The transportation system comprises a fleet of deep-sea carriers that operates as the feeder system to a fleet of regional short-sea carriers. Both types of carriers are multi-compartment tankers shipping bulk liquid chemicals. After the required quantities of transshipment cargos have been transferred from deep-sea carriers to the designated short-sea carriers, both of them will continue on their routes and head towards the next pickup/delivery location. Our goal is to determine the optimal transshipment sequence, unloading positions and times for transshipping cargos with minimal system cost. The system cost here is the sum of demurrage costs of both deep-sea and short-sea carriers. We develop two alternative mixed-integer linear programming (MILP) formulations both using continuous-time representation to determine the optimal schedule for transshipping cargos. In the first model, a slot-based approach is used for short-sea carriers, and a sequence-based approach is used for deep-sea carriers. In the second model, we switch the two approaches. Both of them can effectively handle general many-to-many transshipment problems; however, they perform differently on different types of problems. Therefore, we solve all examples using both formulations to illustrate and compare the effectiveness and efficiency of both models. The examples also illustrate the application and importance of the transshipment optimization models.
Keywords: transshipment operations, scheduling, chemical logistics, shipping, maritime transportation
Reference:
(1) Karimi, I. A., Srinivasan, R., & Por, L. H. (2002). Unlocking supply chain improvements through effective logistics. Chemical Engineering Process, 98(5), 32-38.
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