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Mathematical Modelling for Optimizing Tourist Trip Design with Considering Scoring on Arc Visits

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Smart and Sustainable Supply Chain and Logistics — Challenges, Methods and Best Practices

Part of the book series: EcoProduction ((ECOPROD))

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Abstract

The generalized orienteering problem extends the orienteering problem, which maximizes the total collected score without violating certain constraints (distance or time). This paper introduces a generalized orienteering problem (GOP) considering arc visits later denoted as the generalized arc orienteering problem (GAOP). The differences from GOP scores are collected by visiting a node and the arc scores. The mathematical formulation of the problem is modelled equivalent with the GOP and arc scores, parameters, and constraints. Its growing application motivated the problem, mainly in tourist trip design. The result suggested a promising solution to a similar case when the implementation results successfully satisfied tourist users.

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Acknowledgements

This work is supported by Research and Technology Transfer Office, Bina Nusantara University, as a part of Bina Nusantara University’s International Research Grant, entitled: An Intelligent Decision Support System Design for Improving Industry’s Sustainability Performance, contract number: No.017/VR.RTT/Ill/2021 and contract date: 22 March 2021.

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Correspondence to A. A. N. Pewira Redi .

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Widjaja, R.G., Pewira Redi, A.A.N., Jewpanya, P., Asrol, M., Rachmawati, N.L. (2023). Mathematical Modelling for Optimizing Tourist Trip Design with Considering Scoring on Arc Visits. In: Golinska-Dawson, P., Tsai, KM., Werner-Lewandowska, K. (eds) Smart and Sustainable Supply Chain and Logistics — Challenges, Methods and Best Practices. EcoProduction. Springer, Cham. https://doi.org/10.1007/978-3-031-15412-6_10

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