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A frontier-based facility location problem with a centralised view of measuring the performance of the network

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  • Mohsen Afsharian

Abstract

The p-median problem is among the most popular problem types in combinatorial optimisation with a broad range of application areas from facility location–allocation and network design to data mining and pattern recognition. This paper studies a variant of this problem, which incorporates data envelopment analysis into the location analysis. In the proposed problem, – in addition to minimising the spatial interaction among the facilities and the demand nodes – we aim at maximising the efficiency of the chosen p facilities. This view is in line with the centralised control mechanism which can often be seen in applications of the p-median problem: facilities are managed by a central authority who wishes to improve the efficiency of the whole system rather than maximising the individual efficiency of each facility. Real-world data from hospitals in Germany will be used to illustrate the proposed approach.

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  • Mohsen Afsharian, 2021. "A frontier-based facility location problem with a centralised view of measuring the performance of the network," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 72(5), pages 1058-1074, May.
    • Handle: RePEc:taf:tjorxx:v:72:y:2021:i:5:p:1058-1074
    DOI: 10.1080/01605682.2019.1639476
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    Cited by:

    1. Laxminarayan Sahoo & Asoke Kumar Bhunia, 2021. "Optimization of plant location problem in interval domain via particle swarm optimization," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(6), pages 1094-1105, December.

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