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Ιδρυματικό Αποθετήριο [SANDBOX]
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
EN
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EL
| URI: | http://purl.tuc.gr/dl/dias/58432124-A60B-4211-B6E2-3D6AC9F35A27 | ||
| Έτος | 2022 | ||
| Τύπος | Πλήρης Δημοσίευση σε Συνέδριο | ||
| Άδεια Χρήσης |
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| Βιβλιογραφική Αναφορά | T. Stamadianos, M. Marinaki, N. Matsatsinis and Y. Marinakis, "A DSS for the multi-criteria Vehicle Routing Problem with pickup and delivery and 3d constraints," in Decision Support Systems XII: Decision Support Addressing Modern Industry, Business, and Societal Needs, vol. 447, Lecture Notes in Business Information Processing, A. P. Cabral Seixas Costa, J. Papathanasiou, U. Jayawickrama, D. Kamissoko, Eds., Cham, Switzerland : Springer, 2022, pp. 177–189. doi: 10.1007/978-3-031-06530-9_14 https://doi.org/10.1007/978-3-031-06530-9_14 | ||
| Εμφανίζεται στις Συλλογές |
The Vehicle Routing Problem (VRP) with three-dimension (3D) constraints (3L-CVRP) is a variant of the VRP with many possible applications in real-world scenarios. The purpose of this paper is to propose a Decision Support System for the VRP with pickup and delivery and 3D constraints (3L-CVRP-PD), considering multiple criteria. A Graphical User Interface (GUI) is developed, aiming to provide a better interaction experience with the software. The GUI includes a 3D representation of the loading bay for each vehicle, a feature that makes solutions easier to comprehend. The routing segment of the 3L-CVRP-PD is solved using a heuristic method, while item packing takes place in an exhaustive manner and multiple solutions are generated for each problem. The solutions are ranked by a Multi-Criteria Decision Method (MCDM). Two MCDMs are tested in this paper, the Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE) and the UTility Additives* (UTASTAR), on modified instances from the literature.
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