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<p>While various initiatives have been launched at the European level to promote appliance repair, the consumer’s decision to repair remains pivotal. This decision is influenced by multiple, often conflicting, factors, including economic, technical, and environmental considerations. To assist consumers in making informed repair decisions and facilitate the repair process, this paper develops functional specifications for a digital tool designed to support decision-making and appliance repair. By adopting a multidisciplinary approach, we integrate scientific methods tailored to each phase of the decision, detection, diagnosis, and repair process, considering the characteristics of household goods and the profiles of repair stakeholders. The proposed specifications aim to provide a comprehensive, multi-criteria, and unbiased decision-support system. These specifications are implemented in a prototype and tested on a canister vacuum cleaner as a case study. By offering neutral and informed support, this research enhances the understanding of consumer repair behaviors and provides a practical resource for repair decision-making.</p>

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A Multidisciplinary Approach for Supporting Decision-Making and Repair of Household Appliances

  • 期刊论文

  • 发表日期：

    2026年2月16日

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  • Olivier Sénéchal,
  • Hervé Barry,
  • Patrice Caulier,
  • Etienne Cocquebert,
  • Véronique Flambard,
  • Rajwane Kafrouni,
  • Marion Lauwers,
  • Yves Sallez

摘要

While various initiatives have been launched at the European level to promote appliance repair, the consumer’s decision to repair remains pivotal. This decision is influenced by multiple, often conflicting, factors, including economic, technical, and environmental considerations. To assist consumers in making informed repair decisions and facilitate the repair process, this paper develops functional specifications for a digital tool designed to support decision-making and appliance repair. By adopting a multidisciplinary approach, we integrate scientific methods tailored to each phase of the decision, detection, diagnosis, and repair process, considering the characteristics of household goods and the profiles of repair stakeholders. The proposed specifications aim to provide a comprehensive, multi-criteria, and unbiased decision-support system. These specifications are implemented in a prototype and tested on a canister vacuum cleaner as a case study. By offering neutral and informed support, this research enhances the understanding of consumer repair behaviors and provides a practical resource for repair decision-making.