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A Location-Routing Based Solution Approach for Reorganizing Postal Collection Operations in Rural Areas

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Machine Learning, Optimization, and Data Science (LOD 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12565))

Abstract

Postboxes generally represent a cost for a postal service provider since they require to be maintained and daily visited by an operator to collect the letters. On the other hand, for the users, they are the main access points to the postal network and so the reduction of their number could result in a deterioration of the quality of the service for them. This work addresses a real problem involving the reduction of the number of postboxes located in rural areas to reorganize the collection operations of a postal service provider. We formulate this problem as a location-routing problem where the number of postmen employed is minimized guaranteeing the user accessibility. Exact and heuristic solution methods have been developed, tested and compared to existing solution methods on instances based on real data of rural instances showing the effectiveness of the proposed methodologies.

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Notes

  1. 1.

    http://www.ing.unisannio.it/boccia/LRP-Postboxes.htm.

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Correspondence to Adriano Masone .

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Boccia, M., Diglio, A., Masone, A., Sterle, C. (2020). A Location-Routing Based Solution Approach for Reorganizing Postal Collection Operations in Rural Areas. In: Nicosia, G., et al. Machine Learning, Optimization, and Data Science. LOD 2020. Lecture Notes in Computer Science(), vol 12565. Springer, Cham. https://doi.org/10.1007/978-3-030-64583-0_55

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  • DOI: https://doi.org/10.1007/978-3-030-64583-0_55

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