Developing quality indices for the management of product structure data across product life cycles

A computational tool has been developed to highlight inconsistencies between design descriptions. This tool links these differences to a set of quality indices based on three types of inconsistencies between bills-of-materials based on the type, number and shape of parts. The indices are algorithmically calculated by parsing and analyzing computer-aided design models available as STEP AP214 files. They have been evaluated for a case study of a two-robots based welding system. The results indicate that the algorithm works well for products of varying granularities in the BoM descriptions and can support engineers in the efficient management of product structure data.

Authors

Institutions

Publication Details

Journal
Procedia CIRP
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procir.2025.08.033
Primary Topic
Product Development and Customization
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Developing quality indices for the management of product structure data across product life cycles

Amar Kumar Behera
Procedia CIRP
Product Development and Customization
article

Developing quality indices for the management of product structure data across product life cycles

Amar Kumar Behera
article en

Abstract

A computational tool has been developed to highlight inconsistencies between design descriptions. This tool links these differences to a set of quality indices based on three types of inconsistencies between bills-of-materials based on the type, number and shape of parts. The indices are algorithmically calculated by parsing and analyzing computer-aided design models available as STEP AP214 files. They have been evaluated for a case study of a two-robots based welding system. The results indicate that the algorithm works well for products of varying granularities in the BoM descriptions and can support engineers in the efficient management of product structure data.

Procedia CIRPVol. 136
Indian Institute of Technology Kanpur (IN)
Indian Institute of Technology Kanpur
Responsible consumption and production
Openalex Percentile: Top 69%
Product Development and Customization
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.

Developing quality indices for the management of product structure data across product life cycles — Amar Kumar Behera · Procedia CIRP (2025) | TGRS Research Map | TGRS