Requirements for Modeling Frameworks in the Context of Assembly Work Instruction Development

This paper introduces requirements for a flexible modeling framework for creating digital work instructions (DWI) for industrial assembly processes. Designed to standardize DWI development, the framework organizes materials, tools, and hints into structured workflows, integrating diverse input data. Developed through a three-phase methodology data identification, framework creation, and validation its design is informed by a requirement analysis. A LEGO® use case demonstrates its application, highlighting its potential to improve efficiency, reduce errors, and support the integration of advanced technologies in manufacturing.

Authors

Institutions

Publication Details

Journal
Procedia CIRP
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procir.2025.08.082
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Requirements for Modeling Frameworks in the Context of Assembly Work Instruction Development

Nils Hendrik Hoppe, Michael Freitag, Daniel Rippel, Rieke Leder
Procedia CIRP
Manufacturing Process and Optimization
article

Requirements for Modeling Frameworks in the Context of Assembly Work Instruction Development

Nils Hendrik Hoppe, Michael Freitag, Daniel Rippel, Rieke Leder
article en

Abstract

This paper introduces requirements for a flexible modeling framework for creating digital work instructions (DWI) for industrial assembly processes. Designed to standardize DWI development, the framework organizes materials, tools, and hints into structured workflows, integrating diverse input data. Developed through a three-phase methodology data identification, framework creation, and validation its design is informed by a requirement analysis. A LEGO® use case demonstrates its application, highlighting its potential to improve efficiency, reduce errors, and support the integration of advanced technologies in manufacturing.

Procedia CIRPVol. 136
University of Bremen (DE)
Bundesministerium für Wirtschaft und Energie
Openalex Percentile: Top 68%
Manufacturing Process and Optimization
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.