scholarly journals SYSTEM DYNAMICS MODELING FOR CONSTRUCTION MANAGEMENT RESEARCH: CRITICAL REVIEW AND FUTURE TRENDS

2019 ◽  
Vol 25 (8) ◽  
pp. 730-741 ◽  
Author(s):  
Mingqiang Liu ◽  
Yun Le ◽  
Yi Hu ◽  
Bo Xia ◽  
Martin Skitmore ◽  
...  

As a result of growing complexities in the construction industry, system dynamics modeling (SDM) has been increasingly used in construction management (CM) research to explore complicated causal relationships at the various levels of construction and management processes. Given the rapid growth of SDM applications over the past two decades, a systematic review is needed to ascertain the state of the art and further trends in the area. This paper provides the results of a systematic analysis of 103 papers from 41 selected peer-reviewed journals from 1997 to 2016. The contributions of the papers are first analyzed, structured and formulated in terms of the year of publication, software involved, the combined use with other methods, and research design. With the assistance of the a keyword co-occurrence network analysis, eight research topics involving different internal and external complexities are identified, including: (1) sustainability, (2) project planning and control, (3) performance and effectiveness, (4) strategic management, (5) site and resource management, (6) risk analysis and management, (7) knowledge management, and (8) organization and stakeholder management. The analysis results reveal the pivotal role of SDM in streamlining different complicated casual relationships at the activity, project, and industry levels across the eight topics and its significant potential in uncovering the impact of complicated contextual conditions on project planning and control, effectiveness and performance, strategic management, and sustainability at the project and industry levels. Lastly, trends and recommendations for SDM applications are provided for future CM research. This paper provides a state of the art of SDM in CM applications and insights into opportunities and useful references for the future.

2011 ◽  
pp. 2617-2649 ◽  
Author(s):  
Ying Su ◽  
Zhanming Jin ◽  
Lei Yang

Environmental issues are rapidly emerging as one of the most important topics in strategic manufacturing decisions. Perusal of the literature has shown many models to support executives in the assessment of a company’s environmental performance. Unfortunately, none of these identifies operating guidelines on how the systems should be adapted to support the deployment of different types of green supply-chain strategies. This chapter seeks to investigate how system dynamics modeling can be supportive for management of feasible green supply-chain strategies. Besides conceptual considerations, we base our arguments on the development of efficient performance measurement systems for remanufacturing facilities in reverse supply chains, taking into account not only economic but also environmental issues. The behavior of the green supply-chain management under study is analyzed through a simulation model based on the principles of the system dynamics methodology. The simulation model can be helpful for green strategic management as an experimental tool, which can be used to evaluate alternative long-term strategies (“what-if” analysis) using total supply chain profit as measure of strategy effectiveness. Validation and numerical experimentation further illustrate the applicability of the developed methodology, while providing additional intuitively sound insights.


2006 ◽  
Vol 30 (4) ◽  
pp. 450 ◽  
Author(s):  
Leonard C Gray ◽  
Gerald A Broe ◽  
Stephen J Duckett ◽  
Diane M Gibson ◽  
Catherine Travers ◽  
...  

This paper describes the development of a computer simulation of the interactions between the acute and aged care systems in Australia, using system dynamics modeling enhanced by agentbased techniques. National and regional simulations will be developed, enabling the impact of a variety of policy scenarios to be forecast over the next 10 years. The paper includes a description of the relevant policy environment and some of the associated key policy issues.


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