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Frontiers of Engineering Management 2023, Volume 10, Issue 2, Pages 191-205 doi: 10.1007/s42524-022-0243-z
Keywords: quality management Quality 4.0 Industry 4.0 literature review predictive quality
Yang YU, Jiafu TANG
Frontiers of Engineering Management 2019, Volume 6, Issue 2, Pages 183-192 doi: 10.1007/s42524-019-0028-1
Keywords: seru production production mode flexibility literature review
Frontiers of Engineering Management 2022, Volume 9, Issue 2, Pages 196-213 doi: 10.1007/s42524-022-0188-2
Keywords: smart contracts blockchain construction industry BIM systematic review
Operations management of smart logistics: A literature review and future research
Bo FENG,Qiwen YE
Frontiers of Engineering Management 2021, Volume 8, Issue 3, Pages 344-355 doi: 10.1007/s42524-021-0156-2
Keywords: smart logistics operations management optimization Internet of Things
A systematic literature review
Frontiers of Engineering Management Pages 467-482 doi: 10.1007/s42524-023-0249-1
Keywords: public‒private partnerships social infrastructure scientometric analysis systematic review
A review of intelligent optimization for group scheduling problems in cellular manufacturing
Frontiers of Engineering Management Pages 406-426 doi: 10.1007/s42524-022-0242-0
Keywords: cellular manufacturing group scheduling flowshop literature review
A literature review of smart warehouse operations management
Frontiers of Engineering Management 2022, Volume 9, Issue 1, Pages 31-55 doi: 10.1007/s42524-021-0178-9
Keywords: smart warehouse operations management interconnection automation integration sustainability
Hannah Kratky, Zhan Li, Yijun Chen, Chengjin Wang, Xiangfei Li, Tong Yu
Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 4, doi: 10.1007/s11783-017-0982-y
Keywords: Bioretention Cold climate Low impact development Stormwater
Quality Function Deployment Implementation in Construction: A Systematic Literature Review
Elizabeth A. Cudney,William L. Gillis
Frontiers of Engineering Management 2016, Volume 3, Issue 3, Pages 224-230 doi: 10.15302/J-FEM-2016036
Keywords: construction engineering management quality function deployment systematic review
Advanced manufacturing technology effectiveness: A review of literature and some issues
Sanjeev GOYAL, Sandeep GROVER
Frontiers of Mechanical Engineering 2012, Volume 7, Issue 3, Pages 256-267 doi: 10.1007/s11465-012-0330-7
Keywords: advanced manufacturing technology (AMT) classification implementation justification evaluation
Service-oriented manufacturing: A literature review and future research directions
Frontiers of Engineering Management 2022, Volume 9, Issue 1, Pages 71-88 doi: 10.1007/s42524-021-0171-3
Keywords: service-oriented manufacturing product– service systems servitization servicing operations mana- gement
Integrating operations research into green logistics: A review
Frontiers of Engineering Management Pages 517-533 doi: 10.1007/s42524-023-0265-1
Keywords: green logistics operations research environment literature review
Frontiers of Engineering Management 2022, Volume 9, Issue 2, Pages 221-238 doi: 10.1007/s42524-022-0195-3
Keywords: knowledge transfer knowledge management project management project environment literature review
Intelligent Drilling and Completion: A Review Review
Gensheng Li,Xianzhi Song,Shouceng Tian,Zhaopeng Zhu,
Engineering 2022, Volume 18, Issue 11, Pages 33-48 doi: 10.1016/j.eng.2022.07.014
The application of artificial intelligence (AI) has become inevitable in the petroleum industry. In drilling and completion engineering, AI is regarded as a transformative technology that can lower costs and significantly improve drilling efficiency (DE). In recent years, numerous studies have focused on intelligent algorithms and their application. Advanced technologies, such as digital twins and physics-guided neural networks, are expected to play roles in drilling and completion engineering. However, many challenges remain to be addressed, such as the automatic processing of multi-source and multi-scale data. Additionally, in intelligent drilling and completion, methods for the fusion of data-driven and physicsbased models, few-sample learning, uncertainty modeling, and the interpretability and transferability of intelligent algorithms are research frontiers. Based on intelligent application scenarios, this study comprehensively reviews the research status of intelligent drilling and completion and discusses key research areas in the future. This study aims to enhance the berthing of AI techniques in drilling and completion engineering.
Keywords: Intelligent drilling and completion Artificial intelligence Intelligent application scenarios Literaturereview Systematic discuss
Xiaoxiao XU, Patrick X. W. ZOU
Frontiers of Engineering Management 2021, Volume 8, Issue 1, Pages 17-31 doi: 10.1007/s42524-019-0091-7
Keywords: system dynamics construction management problem and recommendation research directions literature review
Title Author Date Type Operation
From total quality management to Quality 4.0: A systematic literature review and future research agenda
Journal Article
Systematic literature review on smart contracts in the construction industry: Potentials, benefits, and
Journal Article
Operations management of smart logistics: A literature review and future research
Bo FENG,Qiwen YE
Journal Article
A review of intelligent optimization for group scheduling problems in cellular manufacturing
Journal Article
A critical literature review of bioretention research for stormwater management in cold climate and future
Hannah Kratky, Zhan Li, Yijun Chen, Chengjin Wang, Xiangfei Li, Tong Yu
Journal Article
Quality Function Deployment Implementation in Construction: A Systematic Literature Review
Elizabeth A. Cudney,William L. Gillis
Journal Article
Advanced manufacturing technology effectiveness: A review of literature and some issues
Sanjeev GOYAL, Sandeep GROVER
Journal Article
Linking elements to outcomes of knowledge transfer in the project environment: Current review and future
Journal Article
Intelligent Drilling and Completion: A Review
Gensheng Li,Xianzhi Song,Shouceng Tian,Zhaopeng Zhu,
Journal Article