EURO 2024 Copenhagen
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1822. The effect of customer priority and planning complexity on deviations from model-generated recommendations in route planning

Invited abstract in session WA-7: Behaviour and decision processes , stream Behavioural OR.

Wednesday, 8:30-10:00
Room: 1019 (building: 202)

Authors (first author is the speaker)

1. Marieh Kadivar
Industrial engineering, Technical university of Eindhoven
2. Sarah Gelper
Eindhoven University of Technology
3. Tom van Woensel
Technische Universiteit Eindhoven

Abstract

Despite the significant advancements in optimization models for route planning and their implementation in planning tools, planners often deviate from the recommended solutions offered by these tools. To detect the factors that influence such deviations, we analysed field data obtained from six small-sized transportation companies in the Netherlands. A meta-analysis across these companies suggests that (i) the prioritization of important customers and (ii) the level of complexity of the planning problems affect the extent to which planners deviate from the recommended routes. Planners learn which customers are more important using customers’ history of orders and take that into consideration in route planning. However, the impact of customer priority on routing decisions varies depending on the complexity of the planning task. Planners increasingly adhere to the recommended routes when faced with more complex routing problems. This can possibly be explained by the fact that prioritizing important customers, and simultaneously minimizing the distance of the route, requires more cognitive load. As a result, planners deviate less from the tool's recommendations for complex routing problems, even when such routes serve a high number of important customers.

Keywords

Status: accepted

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