A smart performance measurement approach for collaborative design in Industry 4.0
A smart performance measurement approach for collaborative design in Industry 4.0
Industry 4.0, the fourth industrial revolution, focuses on intelligent and smart manufacturing. This paper investigates a smart Design Performance Measurement (DPM) approach, which can be utilised to support performance measurement implementation during a collaborative design process. Firstly, we develop a smart product design framework with Industry 4.0 enabling technologies to support key design stages in an iterative fashion. Secondly, based on this framework, we propose a smart design performance measurement approach to potentially support a smart product design project management via its performance management. Thirdly, we adapt our existing DPM, for a traditional design environment into a smart design environment at its early stage to test its feasibility. This approach features integration of a flexible performance measurement setup, a multi-feedback DPM mechanism and a multiple DPM results presentation which allows the DPM approach to produce flexible and customised operations by connecting DPM with the stage-based design objectives, balancing DPM feedbacks through interoperability between collaborative design team members and providing real-time DPM results to guide design activities. An empirical industrial evaluation case study indicates that the proposed DPM approach can support design team members in improving their collaborative design performance.
Industry 4.0, Collaborative design, Performance Measurement
1-15
Yin, Yuanyuan
cdb7e6d5-a9d9-4ecc-bbaa-a10ea4350f39
Qin, Shengfeng
bf617d1c-c79a-4d37-82d2-9b2b02e63c53
Yin, Yuanyuan
cdb7e6d5-a9d9-4ecc-bbaa-a10ea4350f39
Qin, Shengfeng
bf617d1c-c79a-4d37-82d2-9b2b02e63c53
Yin, Yuanyuan and Qin, Shengfeng
(2019)
A smart performance measurement approach for collaborative design in Industry 4.0.
Advances in Mechanical Engineering, 11 (1), .
(doi:10.1177/1687814018822570).
Abstract
Industry 4.0, the fourth industrial revolution, focuses on intelligent and smart manufacturing. This paper investigates a smart Design Performance Measurement (DPM) approach, which can be utilised to support performance measurement implementation during a collaborative design process. Firstly, we develop a smart product design framework with Industry 4.0 enabling technologies to support key design stages in an iterative fashion. Secondly, based on this framework, we propose a smart design performance measurement approach to potentially support a smart product design project management via its performance management. Thirdly, we adapt our existing DPM, for a traditional design environment into a smart design environment at its early stage to test its feasibility. This approach features integration of a flexible performance measurement setup, a multi-feedback DPM mechanism and a multiple DPM results presentation which allows the DPM approach to produce flexible and customised operations by connecting DPM with the stage-based design objectives, balancing DPM feedbacks through interoperability between collaborative design team members and providing real-time DPM results to guide design activities. An empirical industrial evaluation case study indicates that the proposed DPM approach can support design team members in improving their collaborative design performance.
Text
A Smart Performance Measurement Approach for Collaborative Design in Industry 4.0-accepeted version
- Accepted Manuscript
Text
1687814018822570
- Version of Record
More information
Accepted/In Press date: 11 December 2018
e-pub ahead of print date: 28 January 2019
Keywords:
Industry 4.0, Collaborative design, Performance Measurement
Identifiers
Local EPrints ID: 427071
URI: http://eprints.soton.ac.uk/id/eprint/427071
ISSN: 1687-8132
PURE UUID: bac29b7b-91b5-4fb9-86a6-b8a13f60c692
Catalogue record
Date deposited: 21 Dec 2018 16:30
Last modified: 16 Mar 2024 07:26
Export record
Altmetrics
Contributors
Author:
Shengfeng Qin
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics