Data Driven Method for Product and Component Sorting for Remanufacturing

As industries embrace circular production to increase sustainability, effective methods for managing End-of-Life (EOL) products have become increasingly critical. This paper introduces a novel approach to support decision-making in the handling of returned products, focusing on the recovery and refurbishment of components for reuse in remanufacturing. The proposed method utilizes Bill of Materials (BOM) data to assess the probability of component reusability and calculates the economic viability of disassembly and refurbishment. By conducting evaluations at both the product and component levels, the framework facilitates precise and efficient grading of EOL products.

Authors

Institutions

Publication Details

Journal
IFAC-PapersOnLine
Published
2025-01-01
DOI
https://doi.org/10.1016/j.ifacol.2025.09.314
Primary Topic
Sustainable Supply Chain Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Data Driven Method for Product and Component Sorting for Remanufacturing

Kjeld Nielsen, Rasmus Andersen, Ann-Louise Andersen, Thomas Ditlev Brunoe et al.
IFAC-PapersOnLine
Sustainable Supply Chain Management
article

Data Driven Method for Product and Component Sorting for Remanufacturing

Kjeld Nielsen, Rasmus Andersen, Ann-Louise Andersen, Thomas Ditlev Brunoe, Fernanda Medeiros Assef, Emma B. Worup
article en

Abstract

As industries embrace circular production to increase sustainability, effective methods for managing End-of-Life (EOL) products have become increasingly critical. This paper introduces a novel approach to support decision-making in the handling of returned products, focusing on the recovery and refurbishment of components for reuse in remanufacturing. The proposed method utilizes Bill of Materials (BOM) data to assess the probability of component reusability and calculates the economic viability of disassembly and refurbishment. By conducting evaluations at both the product and component levels, the framework facilitates precise and efficient grading of EOL products.

IFAC-PapersOnLineVol. 59(10)
Aalborg University (DK)
Openalex Percentile: Top 61%
Sustainable Supply Chain Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.