Stochastic Dynamic Multi-period Technician Routing with Rework

Jonas Stein ()
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Jonas Stein: Otto-von-Guericke-Universität Magdeburg

A chapter in Operations Research Proceedings 2024, 2025, pp 30-36 from Springer

Abstract: Abstract Home services play an important role for businesses operating in the sector of repair and maintenance. Technicians are sent to customers’ homes to complete on-site repair tasks. In this paper, we assume that workforces are heterogeneously qualified and that tasks require different skill levels. Unlike other works in this field, we explicitly account for potential service failures due to a lack of technician skill. Tasks of higher complexity may remain unresolved, requiring revisits and rework. This consequently incurs additional resource investment and service delays. In line with our objective to minimize overall customer delay, we address the trade-off between routing efficiency, on-time services, and risk of rework. To this end, we present a cost-function approximation balancing the three components in the daily assignment and routing decisions. For various indicators (e.g., service delay, resource investment, rework), the results of a numerical study demonstrate that our solution policy outperforms benchmark policies that emphasize isolated streams.

Keywords: Dynamic Team Orienteering Problem; Decision under Uncertainty; Stochastic Programming (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-3-031-92575-7_5

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DOI: 10.1007/978-3-031-92575-7_5

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