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A Decision Support System for Attended Home Services

Author

Listed:
  • Bruno P. Bruck

    (Centro de Informática, Universidade Federal da Paraíba, CEP 58058-600, João Pessoa, Brazil)

  • Filippo Castegini

    (Department of Sciences and Methods for Engineering (DISMI), University of Modena and Reggio Emilia, 42122 Reggio Emilia, Italy)

  • Jean-François Cordeau

    (HEC Montréal, Montréal, Québec H3T 2A7, Canada)

  • Manuel Iori

    (Department of Sciences and Methods for Engineering (DISMI), University of Modena and Reggio Emilia, 42122 Reggio Emilia, Italy)

  • Tommaso Poncemi

    (IRETI, External and Metering Operations, 42123 Reggio Emilia, Italy)

  • Dario Vezzali

    (Marco Biagi Foundation (FMB), University of Modena and Reggio Emilia, 41121 Modena, Italy)

Abstract
This paper describes a decision support system developed to solve a practical attended home services problem faced by Iren Group, an Italian multiutility company operating in the distribution of electricity, gas, and water. The company operates in several regions across Italy and aims to optimize the dispatching of technicians to customer locations where they perform installations, closures, or maintenance activities within time slots chosen by the customers. The system uses historical data and helps operations managers in performing a number of strategic decisions: grouping municipalities into clusters; designing sets of model-weeks for each cluster; evaluating the obtained solutions by means of a dynamic rolling horizon simulator; and providing as output several key performance indicators, as well as visual optimized technician routing plans to analyze different scenarios. The system uses mathematical models and heuristic algorithms that have been specifically developed to take into account different service levels. Computational experiments carried out on data provided by the company confirm the efficiency of the proposed methods. These methods also constitute a powerful tool that can be used by the company not only to reduce costs but also to help them in their strategic evaluation of existing and potential market opportunities.

Suggested Citation

  • Bruno P. Bruck & Filippo Castegini & Jean-François Cordeau & Manuel Iori & Tommaso Poncemi & Dario Vezzali, 2020. "A Decision Support System for Attended Home Services," Interfaces, INFORMS, vol. 50(2), pages 137-152, March.
    • Handle: RePEc:inm:orinte:v:50:y:2020:i:2:p:137-152
    DOI: 10.1287/inte.2020.1031
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    References listed on IDEAS

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    Cited by:

    1. Waßmuth, Katrin & Köhler, Charlotte & Agatz, Niels & Fleischmann, Moritz, 2023. "Demand management for attended home delivery—A literature review," European Journal of Operational Research, Elsevier, vol. 311(3), pages 801-815.

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