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Journal Article 7

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digitalization 4

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Digitalization optical open loop test system for fiber optic gyroscope

ZHANG Deng-wei, SHU Xiao-wu, MU Xu-dong, LIU Cheng

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 4, Pages 434-438 doi: 10.1007/s11465-006-0053-8

Abstract: MB/s and the open loop detection system for optic fiber gyros achieves standardization and complete digitalization

Keywords： stability real-time controlling standardization controlling procedure complete digitalization

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Strategic Path for High-Quality Development of Construction Industry Driven by Digitalization

Sun Jie, Gong Xiaonan, Zhang Hong, Su Xing

Strategic Study of CAE 2021, Volume 23, Issue 4, Pages 56-63 doi: 10.15302/J-SSCAE-2021.04.006

Abstract:

China’s construction industry has maintained a strong momentum of development these years; however, it still requires improvement in terms of efficiency, quality, safety, and environment protection. China’s construction industry is expected to be transformed and upgraded through digital science and technology innovation, thereby achieving high-quality development. Research methods used in this study include literature review, expert interview, and questionnaire survey. In this article, we first summarize the relationship between digital technology and construction industry transformation and analyze the development status of digital science and technology innovation in the construction industry. Subsequently, we summarize the ecological elements that drive the digital science and technology innovation of the construction industry from the perspectives of government departments, participating organizations, and market environment. Furthermore, we propose strategic paths to drive the high-quality development of the construction industry by means of digital science and technology innovation. This study is expected to provide policy recommendations and an implementation framework for the high-quality development of the industry.

Keywords： construction industry digitalization science and technology innovation high-quality development

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Digitalization for supply chain resilience and robustness: The roles of collaboration and formal contracts

Frontiers of Engineering Management Pages 5-19 doi: 10.1007/s42524-022-0229-x

Abstract: Accordingly, this study intends to explore how digitalization helps build supply chain resilience andand supply chain resilience and an indirect-only mediation effect on the relationship between digitalizationFindings reveal the differential roles of digitalization as a technical factor and supply chain collaborationParadoxically, formal contracts enhance the relationship between digitalization and supply chain resilienceThe validation of moderating effects determines the boundary conditions of digitalization and supply

Keywords： digitalization supply chain resilience robustness collaboration formal contract

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Big data and machine learning: A roadmap towards smart plants

Frontiers of Engineering Management Pages 623-639 doi: 10.1007/s42524-022-0218-0

Abstract: Industry 4.0 aims to transform chemical and biochemical processes into intelligent systems via the integration of digital components with the actual physical units involved. This process can be thought of as addition of a central nervous system with a sensing and control monitoring of components and regulating the performance of the individual physical assets (processes, units, etc.) involved. Established technologies central to the digital integrating components are smart sensing, mobile communication, Internet of Things, modelling and simulation, advanced data processing, storage and analysis, advanced process control, artificial intelligence and machine learning, cloud computing, and virtual and augmented reality. An essential element to this transformation is the exploitation of large amounts of historical process data and large volumes of data generated in real-time by smart sensors widely used in industry. Exploitation of the information contained in these data requires the use of advanced machine learning and artificial intelligence technologies integrated with more traditional modelling techniques. The purpose of this paper is twofold: a) to present the state-of-the-art of the aforementioned technologies, and b) to present a strategic plan for their integration toward the goal of an autonomous smart plant capable of self-adaption and self-regulation for short- and long-term production management.

Keywords： learning artificial intelligence smart sensor cyber–physical system Industry 4.0 intelligent system digitalization

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Built environment and management: exploring grand challenges and management issues in built environment

Liang WANG, Xiaolong XUE, Rebecca J. YANG, Xiaowei LUO, Hongying ZHAO

Frontiers of Engineering Management 2019, Volume 6, Issue 3, Pages 313-326 doi: 10.1007/s42524-019-0049-9

Abstract: Engineering management research objects have gradually been transformed from micro-scale projects to macro-scale built environment. Built environment has driven the advancement of civilization through human history. From the Stone Age to the modern era, built environment, which refers to manmade surroundings, has provided the setting for human activities. Built environment has undergone developments and evolution processes as civilization grew. Today, technological advancements cause influences of built environment to encompass every aspect of life, as material, spatial and cultural products of the human labor force, which combines material factors and energy in a lively way of work and in forms. However, the concept of built environment remains unclear. Built environment faces a major challenge, such as the use of science and technology to solve key national and global issues. Thus, the definitions of built environment were systematically reviewed and summarized from different perspectives and levels to address these issues. The grand challenges of built environment, including climate change and energy consumption, urbanization and infrastructure construction, growth, and innovation, were summarized. Furthermore, the corresponding management issues and future development strategies were proposed to solve identified challenges of built environment.

Keywords： built environment innovation sustainability resilience urbanization digitalization infrastructure

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Digital Water Developments and Lessons Learned from Automation in the Car and Aircraft Industries Review

Dragan Savić

Engineering 2022, Volume 9, Issue 2, Pages 35-41 doi: 10.1016/j.eng.2021.05.013

Abstract:

The provision of water and sanitation services is a key challenge worldwide. The size, complexity, and critical nature of the water and wastewater infrastructure providing such services make the planning and management of these systems extremely difficult. Following the digital revolution in many areas of our lives, the water sector has begun to benefit from digital transformation. Effective utilization of remotely sensed weather and soil moisture data for more efficient irrigation (i.e., for food production), better detection of anomalies and faults in pipe networks using artificial intelligence, the use of nature-inspired optimization to improve the management and planning of systems, and greater use of digital twins and robotics all exhibit great potential to change and improve the ways in which complex water systems are managed. However, there are additional risks associated with these developments, including—but not limited to—cybersecurity, incorrect use, and overconfidence in the capability and accuracy of digital solutions and automation. This paper identifies key advances in digital technology that have found application in the water sector, and applies forensic engineering principles to failures that have been experienced in industries further ahead with automation and digital transformation. By identifying what went wrong with new digital technologies that might have contributed to high-profile accidents in the car and aircraft industries (e.g., Tesla self-driving cars and the Boeing 737 Max), it is possible to identify similar risks in the water sector, learn from them, and prevent future failures. The key findings show that: ① Automation will require “humans in the loop”; ② human operators must be fully aware of the technology and trained to use it; ③ fallback manual intervention should be available in case of technology malfunctioning; ④ while redundant sensors may be costly, they reduce the risks due to erroneous sensor readings; ⑤ cybersecurity risks must be considered; and ⑥ ethics issues have to be considered, given the increasing automation and interconnectedness of water systems. These findings also point to major research areas related to digital transformation in the water sector.

Keywords： Digitalization Automation Water Sector Potential Risks Lessons

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Upgrading Pathways of Intelligent Manufacturing in China: Transitioning across Technological Paradigms Artical

Yuan Zhou, Jiyuan Zang, Zhongzhen Miao, Tim Minshall

Engineering 2019, Volume 5, Issue 4, Pages 691-701 doi: 10.1016/j.eng.2019.07.016

Abstract:

Intelligent technologies are leading to the next wave of industrial revolution in manufacturing. In developed economies, firms are embracing these advanced technologies following a sequential upgrading strategy—from digital manufacturing to smart manufacturing (digital-networked), and then to newgeneration intelligent manufacturing paradigms. However, Chinese firms face a different scenario. On the one hand, they have diverse technological bases that vary from low-end electrified machinery to leading-edge digital-network technologies; thus, they may not follow an identical upgrading pathway. On the other hand, Chinese firms aim to rapidly catch up and transition from technology followers to probable frontrunners; thus, the turbulences in the transitioning phase may trigger a precious opportunity for leapfrogging, if Chinese manufacturers can swiftly acquire domain expertise through the adoption of intelligent manufacturing technologies. This study addresses the following question by conducting multiple case studies: Can Chinese firms upgrade intelligent manufacturing through different pathways than the sequential one followed in developed economies? The data sources include semistructured interviews and archival data. This study finds that Chinese manufacturing firms have a variety of pathways to transition across the three technological paradigms of intelligent manufacturing in nonconsecutive ways. This finding implies that Chinese firms may strategize their own upgrading pathways toward intelligent manufacturing according to their capabilities and industrial specifics; furthermore, this finding can be extended to other catching-up economies. This paper provides a strategic roadmap as an explanatory guide to manufacturing firms, policymakers, and investors.

Keywords： Intelligent manufacturing Upgrading pathways China’s manufacturing Digitalization Networkization New-generation