An integrated two-dimensional warranty framework for second-hand equipment considering condition-based maintenance, upgrades, and past life
Notice bibliographique
Résumé
Purpose This study aims to investigate the impact of a two-dimensional warranty policy for secondhand equipment, incorporating prior age and usage, condition-based preventive maintenance (PM) and upgrade activities, on minimizing the total expected cost (TEC) incurred by dealers under warranty coverage. The research addresses the critical challenge of ensuring reliability and cost-effectiveness for secondhand equipment dealers, while fostering trust in reliability improved secondhand products. Design/methodology/approach Based on a quantitative modelling approach, this work develops a reliability-based framework that integrates sequential condition-based maintenance (CBM) policy governed by a reliability threshold, with efficiency levels and upgrade intensity as decision variables. PM actions are modeled with dynamic age-reduction effects, while upgrade actions enhance the equipment’s reliability prior to market reintroduction. The model is validated through numerical experiments and sensitivity analyses to explore the influence of key parameters on warranty servicing costs and reliability. Findings The results reveal that the TECs associated with warranty coverage are highly sensitive to the equipment’s effective age, usage history and reliability thresholds, emphasizing the necessity for high-efficiency PM and targeted upgrade strategies. The findings highlight that higher upgrade levels are more cost-effective for older equipment, while optimal PM scheduling minimizes degradation and warranty costs. These insights underscore the importance of aligning warranty constraints with cost-reliability tradeoffs in designing effective warranty policies. Research limitations/implications This study assumes a fixed warranty coverage policy and a known degradation process, focusing on the dealer’s perspective in warranty servicing. Future research could explore dynamic warranty policies that adjust based on product condition and market demand, as well as incorporate customer behavior and preferences to provide a more comprehensive understanding of warranty optimization strategies. Practical implications The proposed framework helps secondhand equipment dealers optimize maintenance and warranty decisions by balancing upgrade intensity and PM strategies. By integrating a reliability-driven approach, dealers can minimize warranty servicing costs while improving equipment performance and customer satisfaction. The findings offer valuable decision-support tools for designing cost-effective and competitive warranty policies in the secondhand equipment market. Social implications This study contributes to the circular economy by encouraging the refurbishment and extended use of secondhand equipment, reducing waste and promoting sustainability. By improving the reliability of pre-owned products, the proposed warranty framework enhances consumer trust in the secondhand market, ultimately increasing the adoption of sustainable consumption practices. Originality/value This research introduces an innovative two-dimensional warranty framework for secondhand equipment, integrating past life considerations, a reliability improvement program and a CBM policy. The proposed framework strategically balances maintenance efficiency and upgrade intensity, providing dealers with actionable insights to design optimal warranty policies, reduce TECs and enhance customer confidence in refurbished equipment.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,003 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».