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| 1 | The outlook of blockchain technology for construction engineering management显示文摘Current construction engineering management suffers numerous challenges in terms of the trust,information sharing, and process automation. Blockchain which is a decentralised transaction and data management technology, has attracted increasing interests from both academic and industrial aspects since 2008. However,most of the existing research and practices are focused on the blockchain itself(i.e. technical challenges and limitations) or its applications in the finance service sector(i.e.Bitcoin). This paper aims to investigate the potential of applying blockchain technology in the construction sector.Three types of blockchain-enabled applications are proposed to improve the current processes of contract management, supply chain management, and equipment leasing, respectively. Challenges of blockchain implementation are also discussed in this paper. | Jun WANG Peng WU Xiangyu WANG Wenchi SHOU | 2017 | Frontiers of Engineering Management2017，4，1： | 20 |
| 2 | Artificial intelligence:a survey on evolution,models,applications and future trends显示文摘Artificial intelligence(AI)is one of the core drivers of industrial development and a critical factor in promoting the integration of emerging technologies,such as graphic processing unit,Internet of Things,cloud computing,and the blockchain,in the new generation of big data and Industry 4.0.In this paper,we construct an extensive survey over the period 1961-2018 of AI and deep learning.The research provides a valuable reference for researchers and practitioners through the multi-angle systematic analysis of AI,from underlying mechanisms to practical applications,from fundamental algorithms to industrial achievements,from current status to future trends.Although there exist many issues toward AI,it is undoubtful that AI has become an innovative and revolutionary assistant in a wide range of applications and fields. | Yang Lu | 2019 | Journal of Management Analytics2019，6，1： | 14 |
| 3 | Smart construction site in mega construction projects: A case study on island tunneling project of Hong Kong-Zhuhai-Macao Bridge显示文摘The construction sites of mega construction projects(MCP) often have numerous participants with interfacing work within a highly complex system. It is critical how to realize collaborative work and information sharing among such participants. The information and communication technologies(ICTs) provides a technical guarantee for solving this problem. Existing research has been achieved the partial processes digitization of construction site, but certain problems still exist: 1)information perception of the construction site is passive.2) common collaboration and coordination problems in the construction industry have not been addressed. The emerging trends of ICTs have resulted in the integration of various computer technologies such as CPS, BIM, big data, and cloud computing into construction process,which would changes behavioral and management mode of construction sites. These new ICTs have been applied successfully in MCP, in particular, Hong Kong-ZhuhaiMacao Bridge project. A new management mode of construction sites is inspired by these case. In this paper, a new management mode of construction site for MCP has been proposed, namely, smart construction site. The ultimate goal of smart construction site is to accomplish safe, efficient and high-quality construction. This study put forward the conceptual framework for smart construction site, and have identified three key elements of smart construction site, including information support platform,collaboration work, and intelligent construction management. A case study on Hong Kong-Zhuhai-Macao Bridge project work as an evidence to support the practicability of the proposed mode. Significant contributions of this study is to propose a new management mode for MCP in construction industry, which would enrich the body of knowledge or the construction management community.Future research should be dedicated to further explore the potential of smart construction site in MCP management. | Hongtao ZHOU Hongwei WANG Wei ZENG | 2018 | Frontiers of Engineering Management2018，5，1： | 12 |
| 4 | The Innovation of CNC Machine Interface Based on DNC System显示文摘This paper describes the innovation schemes of the interface of a CNC machinewhich cannot communicate with a computer by a Direct Numerical Control(DNC)interface andthe functions of a DNC interface system.One architecture of hardware and software of a practi-cal single-chip computer based on DNC interface system developed by the authors is given.Without any change of the original hardware and software,this DNC interface system has beenused to innovate the CNC machine’s interface to implement the direct communication between acomputer and a CNC machine and to achieve no tape transmission of a part program and ma-chine parameters.It has been demonstrated that this DNC interface system has certain practicalvalues in improving the reliability,efficiency and production management of CNC/NC machine. | Luo Jianjun Fan Liuqun Liang Gongqian China Research and Education Center of Plant Engineering,Northwestern Polytechnical University Xi’an,710072,P.R.China | 1997 | International Journal of Plant Engineering and Management1997，2，1： | 11 |
| 5 | Grey GM(1,1) Model with Function-Transfer Method for Wear Trend Prediction and its Application显示文摘Trend forecasting is an important aspect in fault diagnosis and work state supervision. The principle, where Grey theory is applied in fault forecasting, is that the forecast system is considered as a Grey system; the existing known information is used to infer the unknown information’s character, state and development trend in a fault pattern, and to make possible forecasting and decisions for future development. It involves the whitenization of a Grey process. But the traditional equal time interval Grey GM (1,1) model requires equal interval data and needs to bring about accumulating addition generation and reversion calculations. Its calculation is very complex. However, the non equal interval Grey GM (1,1) model decreases the condition of the primitive data when establishing a model, but its requirement is still higher and the data were pre processed. The abrasion primitive data of plant could not always satisfy these modeling requirements. Therefore, it establishes a division method suited for general data modeling and estimating parameters of GM (1,1), the standard error coefficient that was applied to judge accuracy height of the model was put forward; further, the function transform to forecast plant abrasion trend and assess GM (1,1) parameter was established. These two models need not pre process the primitive data. It is not only suited for equal interval data modeling, but also for non equal interval data modeling. Its calculation is simple and convenient to use. The oil spectrum analysis acted as an example. The two GM (1,1) models put forward in this paper and the new information model and its comprehensive usage were investigated. The example shows that the two models are simple and practical, and worth expanding and applying in plant fault diagnosis. | LUO You xin 1 , PENG Zhu 2 , ZHANG Long ting 1 , GUO Hui xin 1 , CAI An hui 1 1Department of Mechanical Engineering, Changde Teachers University, Changde 415003, P.R. China 2 Engineering Technology Board, Changsha Cigare | 2001 | International Journal of Plant Engineering and Management2001，6，4： | 11 |
| 6 | Avoiding the innovation island in infrastructure mega-project显示文摘Infrastructure mega-project(IMP) innovation is a complex process characterized by highly diverse innovators, a dynamic life-cycle, and stickiness of innovation knowledge. The IMP's innovation network can be easily broken due to the fact that the network involves many different innovators across different industries and different projects. Further reasons for the fragility of the IMP's innovation network are the dynamics of the IMP life-cycle, the diversity of the IMP's innovative entities, the uniqueness of each IMP, and the temporary nature of each IMP's organizations. The innovation island formed by the breaking of an IMP's innovation network can stifle and harm innovation performance. Drawing from the knowledge-based view as well as innovation network theory, our research identifies the heterogeneous characteristics of IMP innovation. We propose a framework to analyze the formation mechanism of the IMP innovation island from three dimensions—the horizontal innovation island, the vertical innovation island, and the longitudinal innovation island. We look at the Hong Kong-ZhuhaiMacao Bridge project to elaborate the innovation island concept that negatively impacts IMP innovation. We also offer theoretical implications regarding the broader question of how IMPs can manage their innovation in practice. | Hongquan CHEN Quanke SU Saixing ZENG Daxin SUN Jonathan Jingsheng SHI | 2018 | Frontiers of Engineering Management2018，5，1： | 10 |
| 7 | A review of metro construction in China: Organization,market, cost, safety and schedule显示文摘China is now in an era of large-scale metro construction. This paper reviews the nature of Chinese metro engineering with a specific focus on its organization and market mode, cost structure, safety control and schedule management. Then, an examination on recent research in metro engineering of the National Natural Science Foundation of China(NSFC) is also conducted,which indicates that information and automation based technologies are increasingly used in practice. | Lieyun DING Jie XU | 2017 | Frontiers of Engineering Management2017，4，1： | 9 |
| 8 | Supply Chain Coordination with Contracts显示文摘 | Gérard P. Cachon | 2003 | Handbooks in Operations Research and Management Science2003，，： | 9 |
| 9 | Grasping institutional complexity in infrastructure megaprojects through the multi-level governance system: A case study of the Hong Kong-Zhuhai-Macao Bridge construction显示文摘This study analyzes the design and operation of multi-level governance system for the smooth delivery of infrastructure mega-projects with high institutional complexity caused by market transition. From an institutional perspective, this study scrutinizes the structure,elements, and dynamics of the governance system of infrastructure mega-projects and then proposes an integrative framework based on the inductive case study of the Hong Kong-Zhuhai-Macao Bridge mega-project. Multiple evidences of archives, field studies, and interviews related to the case project are triangulated to further analyze the institutional effects, specifically those with government logics and market structures, on the design and operation of the three-level governance system. Results reveal that the co-evolution between governments and markets in China has shaped the vertical levels of the mega-project governance system and has further affected their evolution and operation across various stages of project development. This study contributes to the rapidly emerging research on complex system governance by proposing a systematic model of three-level mega-project governance to enhance the timely delivery of infrastructure megaprojects within budget. | Yi HU Yun LE Xinglin GAO Yongkui LI Mingqiang LIU | 2018 | Frontiers of Engineering Management2018，5，1： | 9 |
| 10 | How technological proximity affect collaborative innovation?An empirical study of China’s Beijing-Tianjin-Hebei region显示文摘Based on joint-innovation patent data from 2000 to 2016 in the Beijing-Tianjin-Hebei region of China,the purpose of this paper is to analyze how technological proximity affects university-industry collaborative innovation in the Beijing-Tianjin-Hebei region.We adopt a 1:1 matching design to conduct an empirical study.The results show that the effect of technological proximity on the formation of collaborative innovation displays an inverted U-shape,and geographical proximity and institutional proximity play a positive role of forming a tie.Geographical proximity and institutional proximity as a coordination mechanism,have negatively influenced the relationship between technological proximity and the formation of university-industry collaborative innovation.Furthermore,university strength improves the possibility of collaborative innovation.These findings contributed to the understanding of the relationship between technological proximity and collaborative innovation. | Hongjun Chen Fuji Xie | 2018 | Journal of Management Analytics2018，5，4： | 9 |
| 11 | Water quality functions of riparian forest buffers in Chesapeake Bay watersheds 显示文摘 | Lowrance R Altier L S Newbold J D | 1997 | Environmental Management1997，21，5： | 8 |
| 12 | Blockchain and the related issues:a review of current research topics显示文摘The blockchain represents emerging technologies and future trends.For the traditional social organization and mode of operation,the development of the blockchain is a revolution.As a decentralized infrastructure and distributed general ledger agreement,the blockchain presents us with a great opportunity to establish data security and trust for automation and intelligence development in the Internet of Things(IoT)and it creates a new un-centralized programmable smart ecosystem.Our research synthesizes and analyses extant articles that focus on blockchain-related perspectives which will potentially play an important role in sustainable development in the world.Blockchain applications and future directions always attract more attention.Blockchain technology provides strong scalability and interoperability between the intelligent and the physical worlds. | Yang Lu | 2018 | Journal of Management Analytics2018，5，4： | 8 |
| 13 | Grey Problems of a Mechanical Transmission System in a Reliability Study显示文摘In the light of the Grey characters of reliability on a mechanical transmission system, Grey problems that could assist in the study on mechanical transmission system were analyzed. For example, the factors of time function,the factors of environment and the factors of people have some relationships with the system in this paper. And then, the methods and procedures, which were based upon the theory of Grey system, were elaborated. | LUO You-xin, CAI An-hui, ZHANG Long-ting, GUO Hui-xin Department of Mechanical Engineering, Changde Normal College, Changde 415003, P. R. China | 2001 | International Journal of Plant Engineering and Management2001，6，2： | 8 |
| 14 | The development trend and practical innovation of smart cities under the integration of new technologies显示文摘Smart cities have rapidly developed in the context of the integration of new digital technologies such as big data,Internet of Things,artificial intelligence,blockchains,and virtual reality.These cities have conducted practical innovations and typical cases in many sectors,such as in government,transportation,environmental protection,energy,medical care,and logistics,and have produced many social,economic,and ecological benefits.However,there are still some problems that continue to hinder the construction of smart cities.This paper examines such problems in depth and proposes some relevant countermeasures and suggestions. | Xiaohong CHEN | 2019 | Frontiers of Engineering Management2019，6，4： | 8 |
| 15 | Construction management and technical innovation of the main project of Hong Kong–Zhuhai–Macao Bridge显示文摘Design Units:CCCC Highway Consultants Co.,Ltd.;China Zhongtie Major Bridge Reconnaissance&Design Institute Co.,Ltd.Construction Units:China Communications Construction Company Limited Consortium;China | Yongling ZHU Jinwen ZHANG Xinglin GAO | 2018 | Frontiers of Engineering Management2018，5，1： | 7 |
| 16 | Determining the trade–environment composition effect: the role of capital, labor and environmental regulations显示文摘 | Matthew A. Cole Robert J.R. Elliott | 2003 | Journal of Environmental Economics and Management2003，，3： | 7 |
| 17 | Grey System Judgment on Reliability of Mechanical Equipment显示文摘The Grey system theory was applied in reliability analysis of mechanical equipment.It is a new theory and method in reliability engineering of mechanical engineering of mechanical equipment. Through the Grey forecast of reliability parameters and the reliability forecast of parts and systems, decisions were made in the real operative state of equipment in real time. It replaced the old method that required mathematics and physical statistics in a large base of test data to obtain a pre check, and it was used in a practical problem. Because of applying the data of practical operation state in real time, it could much more approach the real condition of equipment; it was applied to guide the procedure and had rather considerable economic and social benefits. | LUO You xin, GUO Hui xin, ZHANG Long ting, CAI An hui, PENG Zhu Department of Mechanical Engineering,Changde Teachers University, Changde 415003, P.R.China | 2001 | International Journal of Plant Engineering and Management2001，6，3： | 7 |
| 18 | Engineering management for high-end equipment intelligent manufacturing显示文摘The high-end equipment intelligent manufacturing(HEIM) industry is of strategic importance to national and economic security. Engineering management(EM) for HEIM is a complex, innovative process that integrates natural science, technology, management science, social science, and the human spirit. Newgeneration information technology(IT), including the internet, cloud computing, big data, and artificial intelligence, have made a remarkable influence on HEIM and its engineering management activities, such as product system construction, product life cycle management, manufacturing resources organization, manufacturing model innovation, and reconstruction of the enterprise ecosystem.Engineering management for HEIM is a key topic at the frontier of international academic research. This study systematically reviews the current research on issues pertaining to engineering management for HEIM under the new-generation IT environment. These issues include cross-lifecycle management, network collaboration management, task integration management of innovative development, operation optimization of smart factories,quality and reliability management, information management, and intelligent decision making. The challenges presented by these issues and potential research opportunities are also summarized and discussed. | Shanlin YANG Jianmin WANG Leyuan SHI Yuejin TAN Fei QIAO | 2018 | Frontiers of Engineering Management2018，5，4： | 7 |
| 19 | Research on Transmission Accuracy Characteristic Analysis of RV Reducer显示文摘The accuracy of RV reducer transmission is mainly affected by the transmission accuracy. Taking the high precision RV-80E reducer as the research object, aiming at its structural characteristics, the rigid-flexible coupling model of RV reducer is established by using ADAMS multi-body dynamics simulation software, and the correctness of the model is verified. At the same time, the rigid-flexible coupling model is used to design several groups of simulation prototypes with different errors, and the influence of different error factors on the transmission accuracy of the whole machine is analyzed by simulation. Finally, through different error factors, it is concluded that the error combination of positive equidistance+negative offset or negative equidistance+positive offset can effectively reduce the influence of transmission error on the transmission accuracy of the whole machine. | TAN Peng QI Houjun HAN Lin FENG Juntao MA Dongsheng | 2019 | International Journal of Plant Engineering and Management2019，24，3： | 7 |
| 20 | Optimal quality level,order quantity and selling price for the retailer in a two-level supply chain显示文摘For a classical order quantity/pricing problem,we present a geometric programming(GP)approach to find the optimal selling price,order quantity and quality level to maximize the profit for the retail firm.Traditional models such as EOQ are not able to handle the nonlinearity of costs and demand.We adopt the GP approach and make a proper transformation of the model so as to solve this classical problem and obtain the global optimal solution.In addition to the optimal solutions,we also perform a sensitivity analysis.The study shows once more that GP is an excellent approach when decision variables interact in a nonlinear,especially exponential manner. | Sihua Zhou Guohua Wan Pengzhu Zhang Yuan Li | 2014 | Journal of Management Analytics2014，1，3： | 6 |
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