Nov 11, 2014 · In this paper, we propose an approach, which learns dependency between part-failures and symptoms gleaned from such diverse sources of ...

The warranty cost estimates usually depends on three factors: 1) number of warrant-able items, 2) failure rate analysis, and 3) cost per failure, where failure ...

This paper proposes an approach, which learns dependency between part-failures and symptoms gleaned from such diverse sources of information, ...

In this paper, we propose an approach, which learns dependency between part-failures and symptoms gleaned from such diverse sources of information, to predict ...

We also indicate how the optimum warranty period can be computed. We demonstrate, through empirical results, that our method can improve the warranty cost ...

The Bayesian Network represents probabilistic relationships between the part-failure data, the DTC occurrence data and the DTC observance data, and wherein the ...

In this study, we analyze the supplier selection process by combining Bayesian Networks (BN) and Total Cost of Ownership (TCO) methods.

Estimating warranty cost of products having multiple parts is described. In an implementation, part-failure data indicative of number of cycles at which ...

Oct 22, 2024 · This article adopts a Bayesian approach to derive an optimal maintenance policy following the expiration of non renewing warranty.

Using two-dimensional warranty policy, we calculate the warranty cost and investigate the ... Mazzuchi, "Bayesian Calculation of Cost Optimal. Burn-in Test ...