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Tender evaluation through efficiency analysis for public construction contracts
Stefan NIEWERTH, Peter VOGT, Markus THEWES
Frontiers of Engineering Management 2022, Volume 9, Issue 1, Pages 148-158 doi: 10.1007/s42524-020-0119-z
Keywords: bid evaluation public procurement best value for money data envelopment analysis contractor selection
Review on ranking and selection: A new perspective
L. Jeff HONG, Weiwei FAN, Jun LUO
Frontiers of Engineering Management 2021, Volume 8, Issue 3, Pages 321-343 doi: 10.1007/s42524-021-0152-6
Keywords: ranking and selection hypothesis testing dynamic programming simulation
Overview and problems of BIM implementation in Japan
Takashi KANETA, Shuzo FURUSAKA, Nisi DENG
Frontiers of Engineering Management 2017, Volume 4, Issue 2, Pages 146-155 doi: 10.15302/J-FEM-2017007
Keywords: Building Information Modeling general contractor architect drawing procurement project management
Control mode selection for modal control of long-span arch bridge
Zhengying LI, Zhengliang LI,
Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 4, Pages 401-406 doi: 10.1007/s11709-009-0052-z
Keywords: selection reduced-order excitation long-span simplified
Supplier selection and order splitting in multiple-sourcing inventory systems
WANG Guicong, JIANG Zhaoliang, LI Zhaoqian, LIU Wenping
Frontiers of Mechanical Engineering 2008, Volume 3, Issue 1, Pages 23-27 doi: 10.1007/s11465-008-0016-3
Keywords: automobile industry branch-bound algorithm selection single-item multiple-supplier effective
Genomic regions under selection for important traits in domestic horse breeds
Xuexue LIU, Yuehui MA, Lin JIANG
Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 3, Pages 289-294 doi: 10.15302/J-FASE-2017155
Keywords: horse coat color racing performance gait height
Stephen URQUHART, Andrew WHYTE
Frontiers of Engineering Management 2018, Volume 5, Issue 3, Pages 369-380 doi: 10.15302/J-FEM-2018019
Limited research has been conducted on the internal tendering procedures (ITP) of construction contractors because of the commercially sensitive and confidential nature of the subject matter. This limitation explains the reluctance of contractors to undergo interviews. Existing research (outside bid/no-bid and margin decision factor identification and subsequent decision modeling development) only begins to provide insights into key tendering stages, particularly around risk assessments and corporate review processes. Early research suggested one to three review stages. However, when considering the whole work procurement process from prospect identification to contract execution, five to seven series of reviews can be arguably applied by some contractors, wherein some reviews stepped through several layers of internal senior management. Tendering processes were presented as flowchart models that traditionally follow “hard” system (rectangular shapes and straight line arrows) steps, which suggest that a precise process also leads to precise results. However, given that contractors do not win every tender they submit, the process is less precise than that suggested in rigidly structured flowcharts. Twenty-five detailed semi-structured interviews were held with purposely selected high-profile publicly and privately owned construction companies in Australia with significantly varied turnovers. Analyses show that contractors are concerned about the negative effects of increasing corporate governance demands, with many stating that people involved are the most critical element to tendering success. A new way of presenting the ITP of contractors is assessed using a soft systems methodology (SSM) approach. SSM offers an alternative way of considering human interaction challenges within the ITP of contractors, which needs to be tested with the industry. The format graphics of SSM guidelines are presented as a way of offering contractors a different approach, which may assist individuals who are looking to re-structure their tendering activities in a more humanistic and less rigid procedural approach.
Keywords: contractor corporate governance humanistic risk soft systems methodology tendering procedures
Case-based reasoning for selection of the best practices in low-carbon city development
Zhenhua HUANG, Hongqin FAN, Liyin SHEN
Frontiers of Engineering Management 2019, Volume 6, Issue 3, Pages 416-432 doi: 10.1007/s42524-019-0036-1
Keywords: low-carbon city carbon emission best practices case-based reasoning
Miscellaneous dangerous mountain geological survey and the line selection techniques
He Huawu,Zeng Qiangyun
Strategic Study of CAE 2009, Volume 11, Issue 12, Pages 9-12
Keywords: Yichang-Wanzhou Railway geologic characteristics geologic investigation geology route selection
Flexibility analysis and evaluation for joint venture of construction project contractors
Zhao Zhenyu,Yin Yin
Strategic Study of CAE 2008, Volume 10, Issue 9, Pages 84-87
Keywords: construction project contractor joint venture flexibility management
Face recognition based on subset selection via metric learning on manifold
Hong SHAO,Shuang CHEN,Jie-yi ZHAO,Wen-cheng CUI,Tian-shu YU
Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 12, Pages 1046-1058 doi: 10.1631/FITEE.1500085
Keywords: Face recognition Sparse representation Manifold structure Metric learning Subset selection
Frontiers of Agricultural Science and Engineering doi: 10.15302/J-FASE-2023521
● Score index methods readily discriminate genotypes adapted to a target environment.
Keywords: Aerobic rice breeding selection drought resilience production capacity index resilience capacity
Shield selection and function design of Beijing underground diameter line
Han Yali,Lv Chuantian,Zhang Ningchuan
Strategic Study of CAE 2010, Volume 12, Issue 12, Pages 29-34
Keywords: railways underground diameter line shield selection shield functional design
Shale gas enrichment factors and the selection and evaluation of the core area
Wang Shejiao,Yang Tao,Zhang Guosheng,Li Denghua,Chen Xiaoming
Strategic Study of CAE 2012, Volume 14, Issue 6, Pages 94-100
Many factors affect the size of the shale gas development. First and foremost factor is how to establish the geological evaluation standards and select the core area of shale gas. In the early stage of exploration the optimized shale gas core area makes it possible to identify the target and to select the most favorable region for exploration. The main purpose is to find shale gas and achieve economic development. Based on the analysis of shale gas reservoir characteristics and the enrichment factors we discuss the organic-rich shale maturity, mineral content, gas content and conservation parameters in China. Learn from the U.S. shale gas exploration and development and research, combined with the new progress of China's shale gas exploration and development and research, we establish china's first shale gas core area parameter system and value standards. Finally, we optimize some favorable areas and core areas of the marine shale in southern China and point out Southern Sichuan Basin is the most realistic area for shale gas development.
Keywords: core area selection and evaluation enrichment factors marine shale shale gas
Genomic Mutations within the Host Microbiome: Adaptive Evolution or Purifying Selection Review
Jiachao Zhang,Rob Knight,
Engineering 2023, Volume 20, Issue 1, Pages 96-102 doi: 10.1016/j.eng.2021.11.018
Next-generation sequencing technology has transformed our ability to assess the taxonomic composition functions of host-associated microbiota and microbiomes. More human microbiome research projects—particularly those that explore genomic mutations within the microbiome—will be launched in the next decade. This review focuses on the coevolution of microbes within a microbiome, which shapes strain-level diversity both within and between host species. We also explore the correlation between microbial genomic mutations and common metabolic diseases, and the adaptive evolution of pathogens and probiotics during invasion and colonization. Finally, we discuss advances in methods and algorithms for annotating and analyzing microbial genomic mutations.
Keywords: Gut microbiota Genomic mutations Adaptive evolution Purifying selection Single-nucleotide variants
Title Author Date Type Operation
Tender evaluation through efficiency analysis for public construction contracts
Stefan NIEWERTH, Peter VOGT, Markus THEWES
Journal Article
Review on ranking and selection: A new perspective
L. Jeff HONG, Weiwei FAN, Jun LUO
Journal Article
Overview and problems of BIM implementation in Japan
Takashi KANETA, Shuzo FURUSAKA, Nisi DENG
Journal Article
Control mode selection for modal control of long-span arch bridge
Zhengying LI, Zhengliang LI,
Journal Article
Supplier selection and order splitting in multiple-sourcing inventory systems
WANG Guicong, JIANG Zhaoliang, LI Zhaoqian, LIU Wenping
Journal Article
Genomic regions under selection for important traits in domestic horse breeds
Xuexue LIU, Yuehui MA, Lin JIANG
Journal Article
Rethinking the tendering frameworks of construction contractors in the context of a soft systems methodology approach
Stephen URQUHART, Andrew WHYTE
Journal Article
Case-based reasoning for selection of the best practices in low-carbon city development
Zhenhua HUANG, Hongqin FAN, Liyin SHEN
Journal Article
Miscellaneous dangerous mountain geological survey and the line selection techniques
He Huawu,Zeng Qiangyun
Journal Article
Flexibility analysis and evaluation for joint venture of construction project contractors
Zhao Zhenyu,Yin Yin
Journal Article
Face recognition based on subset selection via metric learning on manifold
Hong SHAO,Shuang CHEN,Jie-yi ZHAO,Wen-cheng CUI,Tian-shu YU
Journal Article
Isolating higher yielding and more stable rice genotypes in stress environments: fine-tuning a selection
Journal Article
Shield selection and function design of Beijing underground diameter line
Han Yali,Lv Chuantian,Zhang Ningchuan
Journal Article
Shale gas enrichment factors and the selection and evaluation of the core area
Wang Shejiao,Yang Tao,Zhang Guosheng,Li Denghua,Chen Xiaoming
Journal Article