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A simulation-based decision support framework devoted to Ro-Ro terminals: Design, implementation and evaluation
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Health Informatics and Logistics. Ecole Cent Casablanca, Casablanca, Morocco..ORCID iD: 0000-0003-3439-6982
Euro-Mediterranean University, Fez, Morocco.
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Health Informatics and Logistics.ORCID iD: 0000-0002-4162-5846
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Health Informatics and Logistics.ORCID iD: 0000-0003-1126-3781
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2023 (English)In: Computers & industrial engineering, ISSN 0360-8352, E-ISSN 1879-0550, Vol. 180, p. 109248-, article id 109248Article in journal (Refereed) Published
Abstract [en]

As a type of intermodal terminal, pure Ro-Ro terminals are one of the most important logistic hubs in the supply chain for rolling freight stored in containerized and wheeled steel boxes. These large-scale systems are highly complex, with nonlinear and hard-to-predict behavior evolving in a stochastic environment. Consequently, making decisions about any problem thereof is no mean feat, particularly for terminal planners. To assist them in decision-making, a pool of relevant models and tools have been developed over the years in the literature. Nevertheless, models that are oriented toward specific objectives dominate, and generic ones are rare. This paper tries to fill this gap and proposes a generic framework to be used as a factory to create specific decision support models based on simulation for pure Ro-Ro terminals. This framework is formulated following two artifacts: (1) the known classification of key performance indicators combined with the typical functional and physical organization of pure Ro-Ro terminals; (2) the three main arteries of harbor systems, namely flows, decisions and operations. Then a scalable way of making decisions based on a flexible form of the cost function weighted according to a set of coefficients is integrated. These designed coefficients allow decision-makers a wide flexibly in choosing how the best solutions are determined. An application of this framework is illustrated through a real case study, where the weights are estimated using an expert-profiling based approach then pushed into the OptQuest optimizer to be calibrated before analyzing the results. These results are aggregated, then expressed as scores on a scale of 0 to 1. This is to help terminal planners to easily identify the worst and best planning scenarios as well as the relationships and compatibilities between the involved handling rules to suggest different alternatives for managing operations.

Place, publisher, year, edition, pages
Elsevier BV , 2023. Vol. 180, p. 109248-, article id 109248
Keywords [en]
Ro-Ro terminal, Terminal planning, Discrete event simulation, Decision support framework, Conceptual modeling, Generic design
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-328412DOI: 10.1016/j.cie.2023.109248ISI: 000988759100001Scopus ID: 2-s2.0-85153223415OAI: oai:DiVA.org:kth-328412DiVA, id: diva2:1766899
Note

QC 20230613

Available from: 2023-06-13 Created: 2023-06-13 Last updated: 2023-06-13Bibliographically approved

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Abourraja, Mohamed NezarKornevs, MaksimsMeijer, SebastiaanKringos, Nicole

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