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Authors: Janis Grabis 1 ; Žanis Bondars 1 ; Jānis Kampars 1 ; Ēriks Dobelis 2 and Andrejs Zaharčukovs 2

Affiliations: 1 Riga Technical University, Latvia ; 2 LLC PricewaterhouseCoopers, Latvia

Keyword(s): Decision Support Systems, Vehicle Routing, Customization, Context-awareness.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Databases and Information Systems Integration ; Enterprise Information Systems ; Enterprise Resource Planning ; Enterprise Software Technologies ; Information Systems Analysis and Specification ; Intelligent Transportation System ; Scheduling and Planning ; Simulation and Modeling ; Simulation Tools and Platforms ; Software Engineering ; Tools, Techniques and Methodologies for System Development

Abstract: Vehicle routing solutions delivered to companies as packaged applications combine vehicle routing decision-making models and supporting services for data integration, presentation and other functionality. The packaged applications often are tailored to specific needs of their users thought customization methods and mainly focus on the supporting services rather than on modification of the routing models. This paper proposes a method for customization of the routing model as a part of the routing application. The customization method enables companies to incorporate their specific decision-making goals and context into the routing model without redesigning the model itself. The routing model is also capable of adapting its behaviour according to observed interdependencies among decision-making goals and routing context. An illustrative example is provided to demonstrate customization of the routing solution and to highlight multi-objective and context-dependent characteristics of the vehicle routing problem. (More)

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Paper citation in several formats:
Grabis, J.; Bondars, Ž.; Kampars, J.; Dobelis, Ē. and Zaharčukovs, A. (2017). Context-Aware Customizable Routing Solution for Fleet Management. In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-247-9; ISSN 2184-4992, SciTePress, pages 638-645. DOI: 10.5220/0006366006380645

@conference{iceis17,
author={Janis Grabis. and Žanis Bondars. and Jānis Kampars. and Ēriks Dobelis. and Andrejs Zaharčukovs.},
title={Context-Aware Customizable Routing Solution for Fleet Management},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2017},
pages={638-645},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006366006380645},
isbn={978-989-758-247-9},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Context-Aware Customizable Routing Solution for Fleet Management
SN - 978-989-758-247-9
IS - 2184-4992
AU - Grabis, J.
AU - Bondars, Ž.
AU - Kampars, J.
AU - Dobelis, Ē.
AU - Zaharčukovs, A.
PY - 2017
SP - 638
EP - 645
DO - 10.5220/0006366006380645
PB - SciTePress

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