Digital Twin-Driven Human-Centered Design Frameworks for Meeting Sustainability Objectives

Author:

Onan Demirel H.1,Irshad Lukman1,Ahmed Salman1,Tumer Irem Y.1

Affiliation:

1. School of Mechanical, Industrial and Manufacturing Engineering, Oregon State University, Corvallis, OR 97331

Abstract

Abstract This paper presents a manifesto for the future design of human-made systems and engage this reflection by promoting a computational human factors engineering (HFE) approach. In this paper, we concentrate on the fact that human well-being and sustainability objectives are inseparable. Thus, this paper’s primary focus is to demonstrate a simulation-based computational design methodology, digital human-in-the-loop (D-HIL), which utilizes the digital human modeling (DHM) platform to inject HFE design principles early in design. The D-HIL methodology enables human, product, and systems data to be coupled with computational toolkits; thus, bringing opportunities for facilitating ergonomics decision-making to be part of the digital twin (DT)-driven design. We presented two frameworks originating from our recent work in D-HIL research: (1) prototyping toolbox and (2) human error and functional failure reasoning (HEFFR) as means for realizing sustainability goals through DT-based design. While our preliminary studies show that both tools show promise in terms of realizing the sustainability goals, they are limited to only goals that relate to cost. In our future work, we plan to explore models and computational tools from non-traditional engineering domains to expand our frameworks’ scope to realizing sustainability goals that go beyond cost estimations.

Publisher

ASME International

Subject

Industrial and Manufacturing Engineering,Computer Graphics and Computer-Aided Design,Computer Science Applications,Software

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Iterative updating of digital twin for equipment: Progress, challenges, and trends;Advanced Engineering Informatics;2024-10

2. Digital twin-driven design for elevator fairings via multi-objective optimization;The International Journal of Advanced Manufacturing Technology;2024-02-08

3. Digital Twin Models: Functions, Challenges, and Industry Applications;IEEE Journal of Radio Frequency Identification;2024

4. Supply chain management maturity and business models: scientific mapping using SciMAT;Benchmarking: An International Journal;2023-11-21

5. Human Digital Twin, the Development and Impact on Design;Journal of Computing and Information Science in Engineering;2023-08-25

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3