Related Experiment Video

Updated: Jan 9, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

400

A machine learning framework for long-term forecasting of spare part demand in end-of-life product scenarios

Sendhil Nathan B1,2, B Veera Siva Reddy3, V S Shenbaga Sujan4

  • 1Department of Mechanical Engineering, Indian Institute of Information Technology Design and Manufacturing Kurnool (IIITDMK), Kurnool, 518008, Andhra Pradesh, India.

Scientific Reports
|December 3, 2025
PubMed
Abstract

No abstract available in PubMed .

Keywords:
End-of-life inventory planningIntermittent demandLifecycle analyticsMachine learningPredictive maintenanceSpare part demand forecasting

Related Concept Videos

Predicting Products: Substitution vs. Elimination02:52

Predicting Products: Substitution vs. Elimination

When a nucleophile and an alkyl halide react, nucleophilic substitution and β-elimination reactions compete to generate products.
The following factors can influence the mechanisms competing against each other:
13.7K
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
470