Advanced search
Publication Cover
Enterprise Information Systems Volume 14, 2020 - Issue 4: New Advancement in Information Technologies for Industry 4.0
Submit an article Journal homepage
935
Views
23
CrossRef citations to date
0
Altmetric
Articles

Development of smart nursing homes using systems engineering methodologies in industry 4.0

Fengming CuiDepartment of Industrial Engineering, Tsinghua University, Beijing, ChinaView further author information
,
Liang MaDepartment of Industrial Engineering, Tsinghua University, Beijing, ChinaView further author information
,
Guofeng HouPlanning Department of Nursing Home Demonstration Base, Chendu, Sichuan Province, ChinaView further author information
,
Zhibo PangABB Corporate Research, Automation Networks, Västeras, SwedenView further author information
,
Yonghong HouSchool of Electrical and Information Engineering, Tianjin university, Tianjin, ChinaView further author information
&
Lefei LiDepartment of Industrial Engineering, Tsinghua University, Beijing, ChinaCorrespondence[email protected]
View further author information
Pages 463-479 | Received 01 Apr 2018, Accepted 13 Oct 2018, Published online: 30 Oct 2018
 
Sample our Computer Science journals, sign in here to start your access, latest two full volumes FREE to you for 14 days

ABSTRACT

As aged population grows and health informatics advances dramatically, smart nursing homes equipped with electronic devices and intelligent systems turn into a hotspot. In this paper we propose an iterative and life-cycle development process based on the Vee model in Systems Engineering. Some tools like the house of quality matrix are introduced to continuously identify, allocate and refine requirements from elder residents, engineers, and other stakeholders. The development model proposed highlights the synchronization development of cyber phsical system with the smart nursing home. Furthermore, a agent-based simulation is implemented to illustrate feasibility and applicability of our work.

Additional information

Funding

This work was supported by Ministry of Science and Technology of the People's Republic of China under Grant 2016IM010200 and 2017YFF0209400

Log in via your institution

Access through your institution

Log in to Taylor & Francis Online

Restore content access

Restore content access for purchases made as guest
Purchase options * Save for later

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 199.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.