Warranty Policy Data for Cost Modeling with Weibull Failure Analysis

Two real-world datasets underpin a proposed extended warranty model combining free replacement with a limited number of repairs. The model distinguishes between repairable (type-I) and catastrophic (type-II) failures to calculate an expected total cost function. Numerical analysis assumes system lifetimes follow a Weibull distribution.

Use Cases

• Optimizing warranty period and repair limits based on failure type data.
• Modeling expected total cost for a product using a Weibull lifetime distribution.
• Comparing the financial impact of renewing free-replacement versus limited-repair policies.

Strengths

• Dataset supports a peer-reviewed methodological proposal for warranty policy optimization.
• Includes two distinct real-world datasets for model validation, as stated in the description.

Limitations

• Column names and row counts are not provided, limiting understanding of data structure.
• The primary dataset file is a 3.2 MB archive (RAR), requiring extraction before use.
• The 'last updated' date (2026-03-18) is in the future, indicating a metadata error.

Provenance

Source

Fatemeh Hooti

Collection Method

Data collected to demonstrate the applicability of a proposed warranty policy model.

Time Range

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Freshness

2026-03-18

Geography

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