scholarly journals Research on the Factors of Extremely Short Construction Period under the Sufficient Resources based on Grey- DEMATEL-ISM

2021 ◽  
Author(s):  
Jun-long Peng ◽  
Chao Peng ◽  
Meng-yao Wang ◽  
Ke Hu ◽  
Du-bin Wu
Keyword(s):  
Influencing Factors ◽  
Construction Projects ◽  
Process Model ◽  
Technology Policy ◽  
Grey System Theory ◽  
Construction Technology ◽  
Grey System ◽  
Five Dimensions ◽  
Factors Affecting ◽  
Construction Period

Abstract Under the condition of sufficient resources, there are many factors affecting the realization of extremely short construction period of engineering construction projects. Based on literature review and questionnaire survey, this paper firstly selected 17 influencing factors from the five dimensions of design, management, technology, policy and environment. And the factor analytic hierarchy process model was established based on Grey-DEMATEL-ISM. The model introduced the improved grey system theory and combined decision-making trial and evaluation laboratory (DEMATEL) with interpretative structural modeling method (ISM). In addition, the model can not only identify the critical factors in the system, but also present the internal logical relationship between the influencing factors through the multi-level hierarchical structure diagram. Finally, through the analysis of the influencing factors of extremely short construction period under the sufficient resources, it defined that the key factor is construction technology and the secondary factor is construction safety organization. The research results provide a theoretical basis for managers to realize the extremely short construction period under the sufficient resources.

scholarly journals Grey Relational Grade Based Quantitative Analysis of the Factors Influencing the Load Characteristics of A Power Grid

2018 ◽  
Vol 53 ◽  
pp. 01012 ◽  
Author(s):  
Wei Pan ◽  
Caijia Lei ◽  
Wei Jia ◽  
Hui Gao ◽  
Binghua Fang
Keyword(s):  
Quantitative Analysis ◽  
Influencing Factors ◽  
Power Grid ◽  
Grey System Theory ◽  
Grey System ◽  
Factors Affecting ◽  
Grey Relational Grade ◽  
Load Characteristics ◽  
Grey Relational ◽  
Main Factor

Regarding analysis of load characteristics of a power grid, there are multiple factors that influence the variation of load characteristics. Among these factors, the influence of different ones on the change of load characteristic is somewhat different, thus the degree of influence of various factors needs to be quantified to distinguish the main and minor factors of load characteristics. Based on this, the grey relational analysis in the grey system theory is employed as the basis of mathematical model in this paper. Firstly, the main factors affecting the load characteristics of a power grid are analysed. Then, the principle of quantitative analysis of the influencing factors by using grey relational grade is introduced. Lastly, the load of Guangzhou power grid is selected as the research object, thereby the main factor of temperature affecting the load characteristics is quantitatively analysed, such that the correlation between temperature and load is established. In this paper, by investigating the influencing factors and the degree of influence of load characteristics, the law of load characteristics changes can be effectively revealed, which is of great significance for power system planning and dispatching operation.

Equipment maintainability and its influencing factors analysis based on grey system theory

2012 ◽  
Vol 2 (3) ◽  
pp. 427-436 ◽  
Author(s):  
Hong‐fa Ke ◽  
Hong‐Mei Du ◽  
Ke He ◽  
Xiao‐Hong Yu
Keyword(s):  
System Theory ◽  
Influencing Factors ◽  
Grey System Theory ◽  
Grey System ◽  
Factors Analysis

Dynamic Change and Forecast of per Unit Area Grain Yield Based on Grey System Theory in Suzhou City

2012 ◽  
Vol 610-613 ◽  
pp. 3661-3664
Author(s):  
Hai Min Su ◽  
Ai Xia He
Keyword(s):  
System Theory ◽  
Grain Yield ◽  
Unit Area ◽  
Dynamic Change ◽  
Grey System Theory ◽  
Agricultural Science ◽  
Grey System ◽  
Factors Affecting ◽  
The Future ◽  
Suzhou City

Based on the statistical data from 1991 to 2010, the dynamic change of per unit area grain yield were discussed in Suzhou City. In the last 20 years, the per unit area grain yield took on an increasing trend in the fluctuation, using the GM (1, 1) model, per unit area grain yield will continue to grow in the next five years. According to the grey system theory, factors affecting per unit area grain yield are analyzed and correlative degree between factors and per unit area grain yield is quantitatively measured. The results show that the level of urbanization, modernization of agricultural science and technology and precipitation are the most important factors that affect per unit area grain yield, but economic factors such as GDP have less impact on per unit area grain yield in Suzhou City. Moreover, the construction of water conservancy should be strengthened to improve food production and disaster prevention capacity and focus on raising the level of agricultural modernization in the future. Relying on technological progress to improve per unit area grain yield is an important foundation for the future to ensure food stability during urbanization and economic development, which the cultivated area will continue to decrease.

scholarly journals A SURVEY OF THE FACTORS AFFECTING THE PRODUCTIVITY OF CONSTRUCTION PROJECTS IN IRAN

2012 ◽  
Vol 18 (1) ◽  
pp. 99-116 ◽  
Author(s):  
Parviz Ghoddousi ◽  
Mohammad Reza Hosseini
Keyword(s):  
Construction Projects ◽  
Major Part ◽  
Project Managers ◽  
Construction Technology ◽  
Factors Affecting ◽  
Construction Firms ◽  
Construction Companies ◽  
Widespread Belief ◽  
Negative Side Effects ◽  
Basic Salary

The intense competition between the Iranian construction companies has led them to take all appropriate measures to decrease the costs as much as possible. Hence, due to the pivotal role of human resources in construction projects cost, a major part of Iranian construction companies seek their profitability and survival in maximizing the productivity of their operatives. Because of the widespread belief among contractors about the low productivity of daily workers and operatives with basic salary, they commit a major part of their projects activities to sub-contractors. Deployment of sub-contractors by construction firms has become largely conventional in country's construction projects. The aims of this paper is defined as determining the factors and grounds affecting sub-contractors productivity and evaluate their overall negative side effects on project productivity via a structured questionnaire. A total of 31 factors selected and were divided into 7 broad categories. The perceptions of companies managers were asked about the level of effect brought about by the mentioned factors and groups upon productivity on a time based criterion. The analysis indicated that the most important grounds affecting sub-contractors productivity in descending order include: Materials/Tools, Construction technology and method, Planning, Supervision system, Reworks, Weather, and Jobsite condition. Project managers should focus on the identified major grounds and relevant factors in order to improve productivity as long as they commit construction activities to sub-contractors.

Research on Influencing Factors for Facilitating Innovation Capability: Evidence from Chinese High-Tech Industries

2011 ◽  
Vol 467-469 ◽  
pp. 2030-2035
Author(s):  
Wu Wei Li
Keyword(s):  
Influencing Factors ◽  
Science And Technology ◽  
Grey System Theory ◽  
High Tech ◽  
Innovation Capability ◽  
Input Output ◽  
Grey System ◽  
Industrial Innovation ◽  
The Government ◽  
Significant Factors

For the studies on the innovation capability, there are many limitations in using traditional statistical techniques. The grey system theory proposed in this paper is to supplement the limitations of using traditional techniques and it is more suitable to figure out the significance of influencing factors for facilitating innovation capability. Based on the statistical data from Chinese high-tech industries, over the period 2006-2008, this paper used fifteen indicators affecting the innovation capability, and it applied grey relational analysis to find out the significant factors. The results show that expenditure and persons engaged in science and technology activities are the significant factors affecting innovation capability within Chinese high-tech industries, and the efficiency for input-output of resources is less significant factor, which implies that the efficiency for input-output within Chinese high-tech industries is lower, and its effect to facilitate Chinese high-tech industrial innovation capability is insignificant. In order to facilitate Chinese high-tech industrial innovation capability, the government and enterprises should pay enough attentions to not only the expenditure and personnel engaged in science and technology activities, but also enhancing the efficiency for input-output of technology resources.

Prediction and improvement of labor productivity using hybrid system dynamics and agent-based modeling approach

2018 ◽  
Vol 18 (1) ◽  
pp. 2-19 ◽  
Author(s):  
Mostafa Khanzadi ◽  
Farnad Nasirzadeh ◽  
Mostafa Mir ◽  
Pouya Nojedehi
Keyword(s):  
System Dynamics ◽  
Influencing Factors ◽  
Labor Productivity ◽  
Construction Projects ◽  
Hybrid Simulation ◽  
Simulation Approach ◽  
Content Type ◽  
Factors Affecting ◽  
Agent Based ◽  
Execution Strategy

Purpose The purpose of this paper is to present a hybrid simulation approach for predicting the value of labor productivity taking account of various continuous influencing factors and the interactions between different agents involved in the project. Design/methodology/approach The various continuous factors affecting labor productivity are simulated using system dynamics (SD). The heterogeneity of different agents involved in the project and their interactions is accounted using agent-based modelling (ABM). The developed ABM and SD models are finally integrated to simulate the value of labor productivity taking account of all the influencing factors. Findings The proposed hybrid simulation tool is implemented in a real project to evaluate its perfomance. The value of labor productivity is simulated by taking account of all the influencing factors. The most appropriate execution strategy is then selected using the developed hybrid SD-ABM approach to improve productivity. It is shown that the number of working groups and their movement patterns affect the severity of the groups’ interferences which will in turn affect the value of labor productivity. Practical implications This research helps project managers to predict and improve the value of labor productivity taking account of all the influencing factors. Originality/value It is believed that the proposed hybrid SD-ABM simulation approach offers a novel and robust tool for modeling labor productivity because the effects of various continuous influencing factors and the interactions between different agents are taken into account through the combination of SD and ABM. Many complex problems faced in construction projects involve interacting elements of a different nature, and the integration of SD with ideas from ABM offers potential to combine the strengths of the two methodologies to solve the problem.

Research of the safety path of university laboratory basing on the analysis of grey correlation degree

2020 ◽  
pp. 1-8
Author(s):  
Lili Chen
Keyword(s):  
Influencing Factors ◽  
Safety Management ◽  
Colleges And Universities ◽  
Grey System Theory ◽  
Practical Significance ◽  
Laboratory Safety ◽  
Safety Education ◽  
Grey System ◽  
Laboratory Environment ◽  
Correlation Degree

In recent years, the laboratory safety situation in Colleges and universities has improved, but the safety situation is still severe, so it is urgent to carry out relevant research. Based on the research basis of previous literature, this paper extracts the causes of laboratory accidents in Colleges and universities in the past six years, uses the grey system theory to carry out correlation analysis, sorts the correlation degree of influencing factors of laboratory safety behavior, and through empirical analysis, the organization system, safety education, professional safety, laboratory environment management, foundation safety show a decreasing relationship in the influencing factors of laboratory safety. On the basis of this conclusion, the safety management path of related laboratories is proposed: Improve the laboratory organization and management system; carry out safety education regularly; strict professional operation process; orderly laboratory environment; effective basic safety management. These path studies have positive practical significance for laboratory safety management.

scholarly journals Application of anti-leakage construction technology in housing construction

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Can Chen
Keyword(s):  
Construction Projects ◽  
Housing Construction ◽  
Construction Technology ◽  
Engineering Technology ◽  
The Sustainable Development ◽  
Factors Affecting ◽  
Construction Engineering ◽  
Supervision And Management ◽  
Development Goals

Abstract: With the continuous development and progress of the market economy, the number of building construction projects is increasing. In order to effectively improve the quality of housing construction projects, relevant departments must actively promote various quality supervision and management technologies in order to fundamentally improve the construction engineering technology. The monitoring effect to a certain extent achieves the sustainable development goals of the quality of construction projects. This paper combines the case to analyse the factors affecting the operation of anti-leakage construction technology in the construction project, and discusses the application path of technology in the construction of housing construction.

scholarly journals Modeling of workers’ learning behavior in construction projects using agent-based approach

2018 ◽  
Vol 25 (4) ◽  
pp. 559-573 ◽  
Author(s):  
Behzad Mahjoubpour ◽  
Farnad Nasirzadeh ◽  
Mahmoud Mohammad Hosein Zadeh Golabchi ◽  
Maryam Ramezani Khajehghiasi ◽  
Mostafa Mir
Keyword(s):  
Influencing Factors ◽  
Construction Projects ◽  
Welding Process ◽  
Steel Structure ◽  
Learning Behavior ◽  
Content Type ◽  
Factors Affecting ◽  
Agent Based ◽  
Social Ability ◽  
And Performance

Purpose Learning as the way in which labor acquire new knowledge and skills has important strategic implications for the competitive advantage of an organization. The purpose of this paper is to present an agent-based modeling (ABM) approach to investigate the learning behavior of workers. The effect of interactions among different workers as well as the factors affecting the workers’ learning behavior is assessed using the proposed ABM approach. Design/methodology/approach For this purpose, the processes through which the competency value of worker is changed are understood and the workers’ learning behavior is modeled, taking account of various influencing factors such as knowledge flow, social ability to teach and forgetting factor. Findings The proposed model is implemented on a real steel structure project to evaluate its applicability and performance. The variation in the competency value of different workers involved in the project is simulated over time taking account of all the influencing factors using the proposed ABM approach. Practical implications In order to assess the effect of interactions among welders as well as the welders’ characteristics on their learning behavior, the competence value of different welders is evaluated. Originality/value This research presents an ABM approach to investigate the workers’ learning behavior. To evaluate the performance of the proposed ABM approach, it was implemented on a real steel structure project. The learning behavior of different welders (agents) was simulated taking account of their interactions as well as the factors affecting the welders’ learning behavior. The project involved the welding of a 240-ton steel structure. The initial project duration was estimated as 100 days. In this project, it has been planned to execute the welding process using three different welders namely welder A, B and C.

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