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Πλοήγηση ανά Επιβλέπων "Gayialis, Sotiris P."

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    A system design framework for matchmaking the emerging demand and supply need of the actors in the maritime supply chain domain
    (02/23/2022) Krikigianni, Eleni S.; Κρικιγιάννη, Ελένη Σ.; Athens University of Economics and Business, Department of Business Administration; Panayiotou, Nikolaos; Tatsiopoulos, Ilias; Gayialis, Sotiris P.
    The concepts of demand and supply are both truly fundamental, as they are both widely associated and applied in a variety of areas, including the field of transportation and particularly, the supply chain domain (Kim, 2019). Within the transportation system, freight transportation is considered as a fundamental component of all supply-chain and logistics systems (Dong et al., 2020). Because of its demanding multimodal and intermodal character, freight transportation is a highly competitive market, where customers require and demand reliable and high-quality (both in terms of cost and time) services at competitive and low prices. Maritime transportation is an integral part of the supply chain for most industries and the backbone of global freight distribution, due to its nature to combine the capacity and ability to carry freight over long distances and at low costs. The increasingly challenging environment, which leads to imbalances between demand and supply, because of the lack of efficient communication between the involved actors, is one of the emerging challenges that maritime sector is continuously asked to respond to and find solutions to overcome. Considering all the above, the current Master thesis investigates, how the effective and efficient matching of the demand and supply need of the actors in the maritime domain can be strategically achieved and supported, through a system designed framework, capitalised on specialised information systems. The first step is the conduction of a literature review, which it is supported by conducted interviews within two focused groups. The interview outcomes are used in the formation of a number of scenarios and in the subsequent elicitation of system requirements and their prioritision. The last step in the analysis is the modelling of the identified scenarios, via the extraction of corresponding diagrams per scenario, through the use of ARIS modelling software and the Event-driven process chain diagrams.