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IN2CLOUD: A novel concept for collaborative management of big railway data

Jing LIN, Uday KUMAR

《工程管理前沿（英文）》 2017年第4卷第4期页码 428-436 doi: 10.15302/J-FEM-2017048

摘要： In the EU Horizon 2020 Shift2Rail Multi-Annual Action Plan, the challenge of railway maintenance is generating knowledge from data and/or information. Therefore, we promote a novel concept called “IN2CLOUD,” which comprises three sub-concepts, to address this challenge: 1) A hybrid cloud, 2) an intelligent cloud with hybrid cloud learning, and 3) collaborative management using asset-related data acquired from the intelligent hybrid cloud. The concept is developed under the assumption that organizations want/need to learn from each other (including domain knowledge and experience) but do not want to share their raw data or information. IN2CLOUD will help the movement of railway industry systems from “local” to “global” optimization in a collaborative way. The development of cutting-edge intelligent hybrid cloud-based solutions, including information technology (IT) solutions and related methodologies, will enhance business security, economic sustainability, and decision support in the field of intelligent asset management of railway assets.

关键词： railway intelligent asset management collaborative learning big data hybrid cloud Bayesian

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Web-based construction equipment fleet management system: cost-effective global and local allocation

Hakob AVETISYAN, Miroslaw SKIBNIEWSKI

《工程管理前沿（英文）》 2017年第4卷第1期页码 76-83 doi: 10.15302/J-FEM-2017012

摘要： Over the last two decades, construction contractors have been gradually making more investments in construction equipment to meet their needs associated with increasing volumes of construction projects. At present, from an operational perspective, almost all contractors pay more attention to maintaining their equipment fleets in well-sustained workable conditions and having a high accessibility of the necessary equipment pieces. However, such an approach alone is not enough to maintain an efficient and sustainable business. In particular, for large-scale construction companies that operate in multiple sites in the U.S. or overseas, the problem extends to an optimal allocation of available equipment. Given the current state of the construction industry in the U.S., this problem can be solved by geographically locating equipment pieces and then wisely re-allocating them among projects. Identifying equipment pieces geographically is a relatively easy task. The difficulty arises when informed decision-making is required for equipment allocation among job sites. The actual allocation of equipment should be both economically feasible and technologically preferable. To help in informed decision-making, an optimization model is developed as a mixed integer program. This model is formed based on a previously successfully developed decision-support model for construction equipment selection. The proposed model incorporates logical strategies of supply chain management to optimally select construction equipment for any construction site while taking into account the costs, availability, and transportation-related issues as constraints. The model benefits those responsible for informed decision-making for construction equipment selection and allocation. It also benefits the owners of construction companies, owing to its cost-minimization objective.

关键词： Construction equipment Equipment assignment optimization Web-based asset management

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An Intelligent Logistics Management Model in Prefabricated Construction

Chong-guang Feng,Hao Hu,Feng Xu,Jian Yang

《工程管理前沿（英文）》 2015年第2卷第2期页码 178-181 doi: 10.15302/J-FEM-2015038

摘要： In recent years, with the increasingly complex fabricated construction environment and increasingly challenging logistics management requirements, this paper proposes a model of intelligent logistics management based on radio frequency identification and building information modeling, which enables monitoring full life cycle of building components and improving construction efficiency through real-time uploading and tracking components and materials logistics information. The empirical model was typically used in the construction of a major theme park with good results achieved.

关键词： logistics management intelligent construction BIM RFID fabricated construction major theme park

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Review of operational management in intelligent agriculture based on the Internet of Things

Xiangpei HU, Lijun SUN, Yaxian ZHOU, Junhu RUAN

《工程管理前沿（英文）》 2020年第7卷第3期页码 309-322 doi: 10.1007/s42524-020-0107-3

摘要： This review aims to gain insight into the current research and application of operational management in the area of intelligent agriculture based on the Internet of Things (IoT), and consequently, identify existing shortcomings and potential issues. First, we use the Java application CiteSpace to analyze co-citation networks in the literature related to the operational management of IoT-based intelligent agriculture. From the literature analysis results, we identify three major fields: (1) the development of agricultural IoT (Agri-IoT) technology, (2) the precision management of agricultural production, and (3) the traceability management of agricultural products. Second, we review research in the three fields separately in detail. Third, on the basis of the research gaps identified in the review and from the perspective of integrating and upgrading the entire agricultural industry chain, additional research directions are recommended from the following aspects: The operational management of agricultural production, product processing, and product sale and after-sale service based on Agri-IoT. The theoretical research and practical application of combining operational management theories and IoT-based intelligent agriculture will provide informed decision support for stakeholders and drive the further development of the entire agriculture industry chain.

关键词： Internet of Things (IoT) agricultural Internet of Things (Agri-IoT) operational management intelligent agriculture precision management traceability

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Engineering management for high-end equipment intelligent manufacturing

Shanlin YANG, Jianmin WANG, Leyuan SHI, Yuejin TAN, Fei QIAO

《工程管理前沿（英文）》 2018年第5卷第4期页码 420-450 doi: 10.15302/J-FEM-2018050

摘要：

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. New-generation 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.

关键词： high-end equipment intelligent manufacturing engineering management information technology

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Satellite scheduling engine: The intelligent solver for future multi-satellite management

《工程管理前沿（英文）》 2022年第9卷第4期页码 683-688 doi: 10.1007/s42524-022-0222-4

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New technology foresight method based on intelligent knowledge management

Lingling ZHANG, Siting HUANG

《工程管理前沿（英文）》 2020年第7卷第2期页码 238-247 doi: 10.1007/s42524-019-0062-z

摘要： The increasing importance of technology foresight has simultaneously raised the significance of methods that determine crucial areas and technologies. However, qualitative and quantitative methods have shortcomings. The former involve high costs and many limitations, while the latter lack expert experience. Intelligent knowledge management emphasizes human–machine integration, which combines the advantages of expert experience and data mining. Thus, we proposed a new technology foresight method based on intelligent knowledge management. This method constructs a technological online platform to increase the number of participating experts. A secondary mining is performed on the results of patent analysis and bibliometrics. Thus, forward-looking, innovative, and disruptive areas and relevant experts must be discovered through the following comprehensive process: Topic acquisition → topic delivery → topic monitoring → topic guidance → topic reclamation → topic sorting → topic evolution → topic conforming → expert recommendation.

关键词： technology foresight intelligent knowledge management technological online platform

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Digital twin-enabled smart facility management: A bibliometric review

《工程管理前沿（英文）》 doi: 10.1007/s42524-023-0254-4

摘要： In recent years, the architecture, engineering, construction, and facility management (FM) industries have been applying various emerging digital technologies to facilitate the design, construction, and management of infrastructure facilities. Digital twin (DT) has emerged as a solution for enabling real-time data acquisition, transfer, analysis, and utilization for improved decision-making toward smart FM. Substantial research on DT for FM has been undertaken in the past decade. This paper presents a bibliometric analysis of the literature on DT for FM. A total of 248 research articles are obtained from the Scopus and Web of Science databases. VOSviewer is then utilized to conduct bibliometric analysis and visualize keyword co-occurrence, citation, and co-authorship networks; furthermore, the research topics, authors, sources, and countries contributing to the use of DT for FM are identified. The findings show that the current research of DT in FM focuses on building information modeling-based FM, artificial intelligence (AI)-based predictive maintenance, real-time cyber–physical system data integration, and facility lifecycle asset management. Several areas, such as AI-based real-time asset prognostics and health management, virtual-based intelligent infrastructure monitoring, deep learning-aided continuous improvement of the FM systems, semantically rich data interoperability throughout the facility lifecycle, and autonomous control feedback, need to be further studied. This review contributes to the body of knowledge on digital transformation and smart FM by identifying the landscape, state-of-the-art research trends, and future needs with regard to DT in FM.

关键词： digital twin building information modeling facility management semantic interoperability artificial intelligence intelligent monitoring autonomous control feedback

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Challenges to Engineering Management in the Big Data Era

Yong Shi

《工程管理前沿（英文）》 2015年第2卷第3期页码 293-303 doi: 10.15302/J-FEM-2015042

摘要： This paper presents a review of the challenges to engineering management in the Big Data Era as well as the Big Data applications. First, it outlines the definitions of big data, data science and intelligent knowledge and the history of big data. Second, the paper reviews the academic activities about big data in China. Then, it elaborates a number of challenging big data problems, including transforming semi-structured and non-structured data into “structured format” and explores the relationship of data heterogeneity, knowledge heterogeneity and decision heterogeneity. Furthermore, the paper reports various real-life applications of big data, such as financial and petroleum engineering and internet business.

关键词： big data data science intelligent knowledge engineering management real-life applications

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智能网联汽车信息安全管理的实施对策

赵世佳,徐可,薛晓卿,乔英俊

《中国工程科学》 2019年第21卷第3期页码 108-113 doi: 10.15302/J-SSCAE-2019.03.006

摘要：

新一轮科技和产业变革加速融合，智能网联汽车为消费者提供了便利的使用方式、丰富的应用内容和安全的驾驶环境，但同时，由智能化、网联化带来的信息安全问题也面临着多重风险。近年来黑客攻击频发，信息安全问题不仅会影响行车安全、造成用户数据泄露，更使国家安全受到威胁。安全问题已经引发各国政府的高度重视，美国、欧洲和日本等主要发达国家和地区都在积极行动。在此背景下，我国应尽快推动统筹智能网联汽车信息安全的发展和管理，积极布局、合理规划，全力保障智能网联汽车信息安全，推动智能网联汽车的稳步发展。

关键词：智能网联汽车信息安全汽车产业管理

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Application of blockchain in the field of intelligent manufacturing: Theoretical basis, realistic plights

Qiang ZHANG, Baoyu LIAO, Shanlin YANG

《工程管理前沿（英文）》 2020年第7卷第4期页码 578-591 doi: 10.1007/s42524-020-0137-x

摘要： Blockchain technology is considered one of the promising technologies of the information technology era. The core features of blockchain, such as decentralization, transparency, high security, and tamper-proof nature, bring great convenience for large-scale social cooperation and data sharing. Blockchain has a broad application prospect in the field of intelligent manufacturing. The key issues of this field, such as distributed collaborative production, industrial big data sharing and security, transparent logistics, and supply chain, are naturally consistent with the core characteristics of the blockchain technology. This study aims to analyze the application of blockchain in the field of intelligent manufacturing. First, we introduce the basic connotation and applications of blockchain. Then, we propose the theoretical basis for the application of blockchain in the field of intelligent manufacturing. Finally, we point out the realistic plights and provide some suggestions to promote the application of blockchain in the field of intelligent manufacturing.

关键词： blockchain technology intelligent manufacturing networked collaborative manufacturing full life-cycle management manufacturing model innovation

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Intelligent data analytics is here to change engineering management

Jonathan Jingsheng SHI, Saixing ZENG, Xiaohua MENG

《工程管理前沿（英文）》 2017年第4卷第1期页码 41-48 doi: 10.15302/J-FEM-2017003

摘要： A great deal of scientific research in the world aims at discovering the facts about the world so that we understand it better and find solutions to problems. Data enabling technology plays an important role in modern scientific discovery and technologic advancement. The importance of good information was long recognized by prominent leaders such as Sun Tzu and Napoleon. Factual data enables managers to measure, to understand their businesses, and to directly translate that knowledge into improved decision making and performance. This position paper argues that data analytics is ready to change engineering management in the following areas: 1) by making relevant historical data available to the manager at the time when it’s needed; 2) by filtering out actionable intelligence from the ocean of data; and 3) by integrating useful data from multiple sources to support quantitative decision-making. Considering the unique need for engineering management, the paper proposes researchable topics in the two broad areas of data acquisition and data analytics. The purpose of the paper is to provoke discussion from peers and to encourage research activity.

关键词： engineering management project management big data data analytics planning execution

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空中交通智能化管理的科学与技术问题研究

朱永文 ,陈志杰 ,蒲钒 ,王琦

《中国工程科学》 2023年第25卷第5期页码 185-191 doi: 10.15302/J-SSCAE-2023.07.010

摘要：

空中交通正呈现大流量、强耦合、高时变特点，为保障运行的顺畅高效与安全可靠，需要发展以数字化、自主化、协同式为典型特征的空中交通智能化管理模式。本文在阐述当前及未来一段时期内空中交通管理需求背景的基础上，立足发展趋势，从交通管制、空域管理、流量控制3个方向剖析了传统空中交通管理面临的挑战，凝练了空中交通智能化管理涉及的航空器与空管基础设施相互作用机理和模式、基于可接受风险的航空器间隔空地协同控制、多要素形态非一致规则的空域运行建模优化、高密度空中交通流演化机理与拥堵传播特性等基础科学问题。研究建议，集成应用卫星互联网、大数据、数字孪生、云计算等前沿技术，从航空器、空域、管制决策、运行等方面着手构建空中交通智能化管理技术体系，从而确立新一代空中交通管理系统的技术基础。

关键词：空中交通；智能化管理；人工智能；数字化空域；空地自主协同

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节水灌溉管理智能决策支持系统研究

汪志农,吕宏兴,王密侠,熊运章,马孝义

《中国工程科学》 2001年第3卷第7期页码 48-53

摘要：

应用人工智能中的专家系统技术，开发并集成了3个不同层次的节水灌溉管理决策支持系统：灌溉预报与节水灌溉决策子系统、灌区计划用水与水量调配管理系统、灌区管理体制改革子系统；介绍了节水灌溉管理智能决策支持系统的理论基础，系统结构，实际应用以及陕西省旱情决策子系统等。

关键词：灌溉预报节水灌溉灌溉管理智能决策支持系

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工程项目管理多目标均衡优化研究综述

张连营,徐畅,吴琼

《中国工程科学》 2012年第14卷第11期页码 107-112

摘要：

寻求工程项目各目标之间的均衡最优是工程项目管理的重要方面，近年来相关研究发展迅速，已取得了较为丰硕的研究成果。本文通过文献研究，对该领域的研究现状进行了综述。分别从确定条件下的工程项目多目标均衡优化模型和不确定条件下的工程项目多目标均衡优化模型两个方面，对该领域的研究现状进行了分析，并展望了该领域的研究趋势和发展方向。旨在总结当前工程项目多目标均衡优化领域中的研究成果并揭示当前的热点研究问题，为今后研究提供一定的参考和建议。

关键词：工程项目项目管理多目标均衡优化智能优化算法