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Jin Zhu

Bio: Jin Zhu is an academic researcher from University of Connecticut. The author has contributed to research in topics: System of systems & Resilience (network). The author has an hindex of 8, co-authored 32 publications receiving 270 citations. Previous affiliations of Jin Zhu include Texas A&M University & Southeast University.

Papers
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Journal ArticleDOI
TL;DR: The results highlight the significance of the CEPC framework in understanding complexity and emergent properties in project systems and providing a new theoretical lens for project performance assessment.

79 citations

Journal ArticleDOI
TL;DR: This paper proposes an emergy (spelled with an “m”) analysis-based methodology for EE evaluation of building manufacturing, where the building space and the emergy amount ofBuilding manufacturing are selected as the indicators of product value and the environmental influence, respectively.

47 citations

Journal ArticleDOI
TL;DR: In this paper, the authors identified 12 key influencing factors through literature review and Delphi method under a 4R (i.e., robustness, rapidity, redundancy, and resourcefulness) framework, and used the DEMATEL and ISM methods to investigate their influencing mechanisms.

41 citations

Journal ArticleDOI
TL;DR: Through the use of the proposed SoS framework, new dimensions of analysis for better understanding of the performance of engineering projects were explored and one application example of the framework was demonstrated in a case study of a complex construction project.
Abstract: In this paper, a system-of-systems (SoS) framework is proposed for bottom-up assessment of complex engineering projects. Two principles of SoS analysis (i.e., base-level abstraction and multilevel aggregation) are used to develop the proposed framework. At the base level, complex engineering projects are abstracted as various entities (i.e., human agents, resources, and information) whose attributes and interactions influence the dynamic behaviors of project systems. The performance of project systems at higher levels (i.e., activity level, process level, and project level) is then determined by aggregating entities at the levels below. Through the use of the proposed SoS framework, new dimensions of analysis for better understanding of the performance of engineering projects were explored. One application example of the proposed framework was demonstrated in a case study of a complex construction project. The findings highlight the capability of the proposed framework in providing a novel approach for bottom-up assessment of performance in engineering projects.

26 citations

Proceedings ArticleDOI
22 May 2014
TL;DR: The analysis demonstrated in this paper reveals that the proposed framework is capable of addressing the methodological challenges pertaining to traditional project management paradigm, and can be tested by researchers from different engineering fields to advance the body of knowledge in management of complex engineering projects.
Abstract: The objective of this paper is to propose a system-of-system framework for bottom-up assessment of complex engineering projects. The traditional project management paradigm is mainly based on centralized planning and control. The centralized planning and control are rooted in a reductionism perspective in which engineering projects are identified as monolithic systems while, in reality, complex engineering projects are systems-of-systems. Systems-of-systems have different traits compared with monolithic systems. Thus, lack of consideration of engineering projects as systems-of-systems has led to methodological challenges in creation of integrated tools and techniques for better analysis and management of complex projects. In this paper, a system-of-systems (SoS) framework is proposed as an integrated methodological structure towards the creation of tools and techniques for integrated management of complex engineering projects. Different dimensions of the proposed SoS framework are introduced and evaluated with respect to the required capabilities for addressing the existing methodological challenges in traditional project management. The analysis demonstrated in this paper reveals that the proposed framework is capable of addressing the methodological challenges pertaining to traditional project management paradigm, and can be tested by researchers from different engineering fields to advance the body of knowledge in management of complex engineering projects.

25 citations


Cited by
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Journal ArticleDOI
TL;DR: In this article, the authors provide a systematic literature review on the theme of sustainable development from the perspective of eco-efficiency, with the adaptation of the knowledge development process intervention instrument -pro-Know-C.

223 citations

Journal ArticleDOI
TL;DR: In this paper, a data envelopment analysis model was applied to eco-efficiency analysis using environmental pollution as an undesirable output, and a super-efficiency model was modified for ranking.

188 citations

Journal ArticleDOI
TL;DR: A vision for a Disaster City Digital Twin paradigm that can enable interdisciplinary convergence in the field of crisis informatics and information and communication technology in disaster management and integrate artificial intelligence algorithms and approaches to improve situation assessment, decision making, and coordination among various stakeholders is presented.

160 citations

Journal ArticleDOI
TL;DR: Wang et al. as discussed by the authors analyzed the interactions among China's economic growth and its energy consumption, air emissions and air environmental protection investment during 2000-2007. And they showed that the conflict among economy, energy and air environment protection is slightly mitigated but still acute due to great dependence of China's economy on fossil energy and inefficient environmental protection measures.
Abstract: This paper analyzed the interactions among China’s economic growth and its energy consumption, air emissions and air environmental protection investment during 2000–2007. Conventional energy and emergy are applied to quantify energy consumption and emissions’ impact, respectively. The five indicators based on money, energy and emergy, including ratio of nonrenewable energy to renewable energy (RNR), energy use per unit GDP (EUPG), environmental cost per unit GDP (ECPG), impact of emissions per unit energy consumption (IEPEC), and environmental benefit per unit environmental protection investment (EBPEI), are presented to depict the relationships among economic growth and energy consumption and impact of air emissions and air environmental protection investment. The results show that energy consumption rapidly rises with China’s fast economic growth; however, energy efficiency and environmental loading intensity from energy consumption are reduced simultaneously but their improvements fall far behind economic growth rate. Impact of air emissions, mainly composed of impact of emissions on human health (especially dust), is slightly decreased. The performance of air environmental protection investment is obviously declined in the study period. Generally speaking, the conflict among economy, energy and air environment protection is slightly mitigated but still acute due to great dependence of China’s economy on fossil energy and inefficient environmental protection measures. Finally, this paper discusses the corresponding issues, and then puts forward some related suggestions.

118 citations