Impact of adopting industry 4.0 practices and technologies on time and motion study: a pilot study revealing efficiency gains in a multi-operation workstation

This article presents a time and motion study tool, that migrate from a descriptive approach to one based on data analysis. It presents the engineering design, its application, the analysis of the results obtained in a pilot study, the results of the validation procedure and the theoretical framework in operations management. The tool in question has been proved to be efficient for data collecting at workstations from video processing. It offers the means for intensive data collection, as alternative to sampling-based methods. The tool was developed with the aim of facilitating and speeding up the analysis of approximately 44 hours of video footage. The effort and processing time were significantly reduced by approximately 6 times, and the new method enabled detailed recording of each occurrence not foreseen in the process. This study makes a scientific contribution by proposing a roadmap for the development of the time and motion study.

Authors

Institutions

Publication Details

Journal
Production & Manufacturing Research
Published
2025-03-18
DOI
https://doi.org/10.1080/21693277.2025.2476436
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of adopting industry 4.0 practices and technologies on time and motion study: a pilot study revealing efficiency gains in a multi-operation workstation

Azin Moradbeikie, Sérgio Ivan Lopes, Samantha Gonçalves, Cristiano Jesus et al.
Production & Manufacturing Research
Digital Transformation in Industry
article

Impact of adopting industry 4.0 practices and technologies on time and motion study: a pilot study revealing efficiency gains in a multi-operation workstation

Azin Moradbeikie, Sérgio Ivan Lopes, Samantha Gonçalves, Cristiano Jesus, Eduardo Pontes, Ivan Amorim
article en

Abstract

This article presents a time and motion study tool, that migrate from a descriptive approach to one based on data analysis. It presents the engineering design, its application, the analysis of the results obtained in a pilot study, the results of the validation procedure and the theoretical framework in operations management. The tool in question has been proved to be efficient for data collecting at workstations from video processing. It offers the means for intensive data collection, as alternative to sampling-based methods. The tool was developed with the aim of facilitating and speeding up the analysis of approximately 44 hours of video footage. The effort and processing time were significantly reduced by approximately 6 times, and the new method enabled detailed recording of each occurrence not foreseen in the process. This study makes a scientific contribution by proposing a roadmap for the development of the time and motion study.

Production & Manufacturing ResearchVol. 13(1)
Complejo Hospitalario Universitario de Santiago (ES), Interface (United Kingdom) (GB), University of Minho (PT)
Industry, innovation and infrastructure
Openalex Percentile: Top 94%
Digital Transformation in Industry
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.