Abstract
An efficient baggage-handling system is of critical importance to the aviation industry, especially for major hub airports that handle large volumes of passengers and connecting flights. Huge investments have been made over the years, and baggage handling has been long recognized as one of the most promising areas for airport automation. Based on the developments on Internet of Things, RFID, robotic and sensor technologies, modernization of airports are taken into consideration in the aviation industry, within the concept of Aviation 4.0. This chapter deals with the development of an automated baggage robot system for airports, which is being newly constructed. With this aim, hesitant fuzzy linguistic terms set based multi-criteria decision making model is used to evaluate alternative components of the baggage robot system. Then, 0–1 goal programming model is used to determine the optimal selection among alternative components under budget constraint. An example is presented to demonstrate the applicability of the proposed model. This model can be used by airport construction planners for the development of automated baggage robot systems.
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Aktas, A., Kabak, M. (2022). An Integrated Fuzzy Decision Making and Integer Programming Model for Robot Selection for a Baggage Robot System. In: Kahraman, C., Aydın, S. (eds) Intelligent and Fuzzy Techniques in Aviation 4.0. Studies in Systems, Decision and Control, vol 372. Springer, Cham. https://doi.org/10.1007/978-3-030-75067-1_4
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