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Volume 10, Issue 10 (October 2024)

A Deep Neural Network Based Model For Predicting Remanufacturing Cost Of Eol Products

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Volume 12 Issue 07

July 2026

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Author(s)

Jyoti Bhayal Prof. Pankaj Raghuwanshi

Abstract

Remanufacturing Cost Prediction Is Conducive To Visually Judging The Remanufacturability Of End-of-life (EOL) Products From Economic Perspective. However, Due To The Randomness, Non-linearity Of Remanufacturing Cost And The Lack Of Sufficient Data Samples.


Keywords

Remanufacturing Cost Prediction End Of Life (EOL) Deep Learning Long Short Term Memory (LSTM) Mean Absolute Percentage Error (MAPE).

Paper ID

IJSARTV10I1099443

Publication Date

October 1, 2024

Research Area

Computer Science Engineering

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