Smart Steaming: A New Flexible Paradigm for Synchromodal Logistics

Riccardo Giusti, Daniele Manerba and Roberto Tadei
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Riccardo Giusti: Department of Control and Computer Engineering, Politecnico di Torino, 10129 Turin, Italy
Daniele Manerba: Department of Information Engineering, University of Brescia, 25123 Brescia, Italy
Roberto Tadei: Department of Control and Computer Engineering, Politecnico di Torino, 10129 Turin, Italy

Sustainability, 2021, vol. 13, issue 9, 1-21

Abstract: Slow steaming, i.e., the possibility to ship vessels at a significantly slower speed than their nominal one, has been widely studied and implemented to improve the sustainability of long-haul supply chains. However, to create an efficient symbiosis with the paradigm of synchromodality, an evolution of slow steaming called smart steaming is introduced. Smart steaming is about defining a medium speed execution of shipping movements and the real-time adjustment (acceleration and deceleration) of traveling speeds to pursue the entire logistic system’s overall efficiency and sustainability. For instance, congestion in handling facilities (intermodal hubs, ports, and rail stations) is often caused by the common wish to arrive as soon as possible. Therefore, smart steaming would help avoid bottlenecks, allowing better synchronization and decreasing waiting time at ports or handling facilities. This work aims to discuss the strict relationships between smart steaming and synchromodality and show the potential impact of moving from slow steaming to smart steaming in terms of sustainability and efficiency. Moreover, we will propose an analysis considering the pros, cons, opportunities, and risks of managing operations under this new policy.

Keywords: smart steaming; slow steaming; synchromodality; sustainable transportation systems (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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