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Development and Suggestion on the Comprehensive Automation of Process Industry

Huang Dao,Li Guanghua

Strategic Study of CAE 2000, Volume 2, Issue 12,   Pages 52-58

Abstract:

The rapid development of industrial automation has brought favorable requirements for the chemical enterprises to carry out comprehensive automation. This article brings forward the three-strata structure of the comprehensive automation, describes it in concepts, and discusses the key problems which should be paid attention to during its process. Finally, an example project is briefly introduced on the basis of the understanding which is acquired through practical implementation of comprehensive automation for chemical enterprises.

Keywords： process industry     CIMS     comprehensive automation     product data management (PDM)    

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Challenges to Engineering Management in the Big Data Era

Yong Shi

Frontiers of Engineering Management 2015, Volume 2, Issue 3,   Pages 293-303 doi: 10.15302/J-FEM-2015042

Abstract: This paper presents a review of the challenges to engineering management in the Big Data Era as wellas the Big Data applications.First, it outlines the definitions of big data, data science and intelligent knowledge and the historyof big data.and non-structured data into “structured format” and explores the relationship of data heterogeneity

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

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Bridging reliability and operations management for superior system availability: Challenges and opportunities

Frontiers of Engineering Management   Pages 391-405 doi: 10.1007/s42524-022-0206-4

Abstract: manufacturing, and maintenance of capital goods through a consolidated mechanism called the integrated product-serviceSpecific interest is focused on the new product introduction phase in which firms face a variety of uncertainties

Keywords： system availability     product-service integration     installed base     new product introduction     service supply    

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A Product Process Adaptive Design Method Based on Manufacturing-Related Big Data

Wei Wei, Chen Zheng, Yuan Jun

Strategic Study of CAE 2020, Volume 22, Issue 4,   Pages 42-49 doi: 10.15302/J-SSCAE-2020.04.017

Abstract: , which is important to the innovation of product process design.To this end, a product process adaptive design model “data + knowledge + decision” is proposeddata fusion; data cleaning and preprocessing; data conversion and dimensionality reduction; data miningcan guide product design decisions and support the product process adaptive design under different manufacturingIn the future, to enhance the integration of manufacturing-related big data with product process design

Keywords： product process     adaptive design     manufacturing-related big data     data mining     knowledge discovery    

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Knowledge-based competitive strategy using direct customer experience for automobile product development

Peter HODGES, Shuh Yuan LIOU,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 1,   Pages 33-46 doi: 10.1007/s11465-009-0080-3

Abstract: The automobile product development (PD) design space continually increases in size and complexity.Expertise in integration requires attention to knowledge management, which is crucial for competitiveA key component of the PD process is the acquisition of data about customers’ responses to vehicleThe paper proposes a system for collecting near real-time data about responses to vehicle performanceresponse data, and apply this information with feasible design automation to provide reduced cycle time

Keywords： product development     strategy     knowledge management    

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Intelligent data analytics is here to change engineering management

Jonathan Jingsheng SHI, Saixing ZENG, Xiaohua MENG

Frontiers of Engineering Management 2017, Volume 4, Issue 1,   Pages 41-48 doi: 10.15302/J-FEM-2017003

Abstract: This position paper argues that data analytics is ready to change engineering management in the followingareas: 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 dataConsidering the unique need for engineering management, the paper proposes researchable topics in thetwo broad areas of data acquisition and data analytics.

Keywords： engineering management     project management     big data     data analytics     planning     execution    

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Dynamic decision-making theories and methodologies on engineering management of complicated product development

Yang Shanlin,Zhong Jinhong

Strategic Study of CAE 2012, Volume 14, Issue 12,   Pages 25-40

Abstract:

Complicated product development (CPD) is a system engineering that combinestechnology with management deeply.The management principles of CPD engineering are proposed.The common methods used in the engineering management of CPD are summarized and the application of cloudcomputing to the engineering management of CPD is forecasted.

Keywords： engineering management of complicated product development     theoretical system of dynamic decision-making     hierarchical optimization     dynamic management     workforce scheduling     supplier collaborative management    

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Data sharing policy and key techniques of HJ-1

Sun Zhongping,Wei Bin,Shen Wenming,You Dai’an,Xiong Wencheng

Strategic Study of CAE 2011, Volume 13, Issue 3,   Pages 38-44

Abstract:

The paper is aiming to mining standard regulations of data sharing, datasharing platform and data sharing policy of HJ-1 against the characteristics of massive data, multi-source, timeliness and complexity of the satellite data.

Keywords： HJ-1 Satellite     data product     standard regulations     data sharing platform     data sharing policy    

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

Jing LIN, Uday KUMAR

Frontiers of Engineering Management 2017, Volume 4, Issue 4,   Pages 428-436 doi: 10.15302/J-FEM-2017048

Abstract: Shift2Rail Multi-Annual Action Plan, the challenge of railway maintenance is generating knowledge from datachallenge: 1) A hybrid cloud, 2) an intelligent cloud with hybrid cloud learning, and 3) collaborative managementusing asset-related data acquired from the intelligent hybrid cloud.learn from each other (including domain knowledge and experience) but do not want to share their raw databusiness security, economic sustainability, and decision support in the field of intelligent asset management

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

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Integrated approach to winery waste: waste generation and data consolidation

Margarida OLIVEIRA,Elizabeth DUARTE

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 1,   Pages 168-176 doi: 10.1007/s11783-014-0693-6

Abstract: As each winery is unique in waste generation and disposal, plans for environmentally friendly waste managementIn this regard, the data acquisition and consolidation ensure the transfer of information and experience

Keywords： waste management     wastewater reuse     winery wastewater    

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Methodological considerations for redesigning sustainable cropping systems: the value of data-mininglarge and detailed farm data sets at the cropping system level

Nicolas MUNIER-JOLAIN, Martin LECHENET

Frontiers of Agricultural Science and Engineering 2020, Volume 7, Issue 1,   Pages 21-27 doi: 10.15302/J-FASE-2019292

Abstract: Large data sets collected from real farms allow for the development of innovative methods to produceData mining methods allow for the diversity of systems to be considered holistically and can take intoBased on the very few known studies using such methods to analyze the crop management strategies affectinguse and their effect on farm performance, we advocate further investment in the development of large data

Keywords： data mining     holistic     Integrated Pest Management     economics     DEPHY network.    

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Research on integrating customization design for mechanical product

TAI Ligang, LI Dianqi, ZHONG Tingxiu, LI Zhi

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 1,   Pages 89-93 doi: 10.1007/s11465-007-0015-9

Abstract: The whole system is set up on the base of engineering database technology, integrating Product Data Management(PDM), Enterprise Resource Planning (ERP) etc.The system also adopts KBE to manage and reuse product design knowledge, while combining the technologyof product family modeling and technologies of feature modeling and parametric design, based on theassembly of the CAD system of Unigraphics Solutions Inc., to create a product family case library that

Keywords： engineering database     product     Management     database technology     knowledge    

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Design and Application of Clinical Big Data Management System for Oncology

Ma Lin, Bao Chenlu, Li Qing,Wu Jingyi, Pan Hong’an, Li Pengfei, Zhang Luxia, Zhan Qimin

Strategic Study of CAE 2022, Volume 24, Issue 6,   Pages 127-136 doi: 10.15302/J-SSCAE-2022.06.011

Abstract: and great difficulties in data management.Hence, establishing a national clinical big data management system for oncology based on artificialThis study conducted an in-depth analysis of the problems and challenges of clinical data management, including the development of common data models for oncology, data collection and security managementFinally, we proposed some suggestions on the research directions of the clinical big data management&

Keywords： clinical big data     management system     oncology     artificial intelligence     common data model     natural language    

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Blockchain in energy systems: values, opportunities, and limitations

Frontiers in Energy 2022, Volume 16, Issue 1,   Pages 9-18 doi: 10.1007/s11708-022-0818-8

Abstract: The structure of a power energy system is becoming more distributed than before. It becomes challenging to manage such a system in a centralized way, because a central authority may not exist or may not be trusted by all parties. Blockchain is a promising tool to address this challenge, by enabling trusted collaboration in the absence of a trusted central authority. Its use in the energy sector has been pioneered by several pilot projects. However, to date the energy sector has not seen large-scale deployment of blockchain, partly because the founders of those pilot projects, the public, and utilities have not reached consensus on the values and limitations of blockchain in energy. This perspective aims to bridge this gap. First, the philosophy and unique values of blockchain are discussed. Second, some promising blockchain-based applications in energy systems are presented. Third, some common misunderstandings of blockchain in energy are discussed. Last, some frequently-asked questions from utilities are discussed. Hopefully this perspective can help advance large-scale deployment of blockchain in energy systems.

Keywords： blockchain     immutability     energy trading     energy management     data synchronization    

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Research and Application of Technologies for Complex System (Product) Integrated Manufacturing Engineering

Xia Guohong,Li Bohu,Tang Xiaoqing ,Zhu Wenhai,Chai Xudong

Strategic Study of CAE 2005, Volume 7, Issue 9,   Pages 49-55

Abstract: theories, methods, technologies and tools of contemporary integrated manufacturing, the Complex System (ProductFurthermore, the phased research results of six key technologies are introduced： (1) the management modeof the complex product integrated manufacturing system based on the theory of the ” managementand techniques for the enterprises dispersed at different sites based on the theory of the project managementinteractive simulation technology; (5) the quality control and management system for complex product

Keywords： complex system integration manufacturing engineering     virtual prototyping engineering for complex product     grid computing     management of person with ability and institution    

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Title Author Date Type Operation

Development and Suggestion on the Comprehensive Automation of Process Industry

Huang Dao,Li Guanghua

Journal Article

Challenges to Engineering Management in the Big Data Era

Yong Shi

Journal Article

Bridging reliability and operations management for superior system availability: Challenges and opportunities

Journal Article

A Product Process Adaptive Design Method Based on Manufacturing-Related Big Data

Wei Wei, Chen Zheng, Yuan Jun

Journal Article

Knowledge-based competitive strategy using direct customer experience for automobile product development

Peter HODGES, Shuh Yuan LIOU,

Journal Article

Intelligent data analytics is here to change engineering management

Jonathan Jingsheng SHI, Saixing ZENG, Xiaohua MENG

Journal Article

Dynamic decision-making theories and methodologies on engineering management of complicated product development

Yang Shanlin,Zhong Jinhong

Journal Article

Data sharing policy and key techniques of HJ-1

Sun Zhongping,Wei Bin,Shen Wenming,You Dai’an,Xiong Wencheng

Journal Article

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

Jing LIN, Uday KUMAR

Journal Article

Integrated approach to winery waste: waste generation and data consolidation

Margarida OLIVEIRA,Elizabeth DUARTE

Journal Article

Methodological considerations for redesigning sustainable cropping systems: the value of data-mininglarge and detailed farm data sets at the cropping system level

Nicolas MUNIER-JOLAIN, Martin LECHENET

Journal Article

Research on integrating customization design for mechanical product

TAI Ligang, LI Dianqi, ZHONG Tingxiu, LI Zhi

Journal Article

Design and Application of Clinical Big Data Management System for Oncology

Ma Lin, Bao Chenlu, Li Qing,Wu Jingyi, Pan Hong’an, Li Pengfei, Zhang Luxia, Zhan Qimin

Journal Article

Blockchain in energy systems: values, opportunities, and limitations

Journal Article

Research and Application of Technologies for Complex System (Product) Integrated Manufacturing Engineering

Xia Guohong,Li Bohu,Tang Xiaoqing ,Zhu Wenhai,Chai Xudong

Journal Article