Managing smart cities through six sigma DMADICV method: A review-based conceptual framework

Qayyum, Siddra and Ullah, Fahim ORCID: https://orcid.org/0000-0002-6221-1175 and Al-Turjman, Fadi and Mojtahedi, Mohammad (2021) Managing smart cities through six sigma DMADICV method: A review-based conceptual framework. Sustainable Cities and Society, 72:103022. pp. 1-19. ISSN 2210-6707


Abstract

Smart cities are complex endeavors that present several management challenges. The current study proposes a conceptual framework based on Six Sigma for managing smart cities. DMADICV is a novel method proposed in the current study for Six Sigma. The proposed DMADICV framework consists of six key constructs: Define, Measure, Analyze, Design, Improve, and Control & Verify. These constructs are used as layers in smart cities, and relevant literature is reviewed to highlight the key factors and groups related to each layer. A conceptual framework is provided for smart city management and an assessment mechanism presented for measuring and testing the performance of smart city integrated processes. This is achieved by measuring and controlling the cost of quality non-conformance, right documentation in the first time, and timely implementation of control measures, the activity processing index, and quality controls. Improvement construct has a percentage of 35.67 % share in the DMADICV framework followed by define (16.76 %), design (15.52 %), control & verify (14.33 %), measure (10.08 %), and analyze (8.15 %). The top ten factors for managing smart cities through the Six Sigma method include process quality improvement, organizational development, process analysis, quality management, cost control, DMAIC, change management, project management plan, waste reduction, process quality measurement, and value creation, respectively. The DMADICV framework and its dynamic relations are shown through a system model and its key groups represented in layers of the smart cities whereby the city governance and management teams can provide services to their smart citizens effectively and efficiently. The proposed DMADICV method and associated smart city management framework are a humble addition to the body of knowledge that can be adopted and utilized in other knowledge fields.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 Jul 2013 -)
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 Jul 2013 -)
Date Deposited: 02 Aug 2021 01:54
Last Modified: 27 Oct 2021 00:17
Uncontrolled Keywords: Six Sigma; Smart cities; City management; DMADICV; DMAIC; DFSS; DMADV
Fields of Research (2008): 12 Built Environment and Design > 1299 Other Built Environment and Design > 129999 Built Environment and Design not elsewhere classified
12 Built Environment and Design > 1205 Urban and Regional Planning > 120599 Urban and Regional Planning not elsewhere classified
Fields of Research (2020): 33 BUILT ENVIRONMENT AND DESIGN > 3399 Other built environment and design > 339999 Other built environment and design not elsewhere classified
33 BUILT ENVIRONMENT AND DESIGN > 3304 Urban and regional planning > 330499 Urban and regional planning not elsewhere classified
Identification Number or DOI: https://doi.org/10.1016/j.scs.2021.103022
URI: http://eprints.usq.edu.au/id/eprint/42584

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