Response Surface Methodology: Process and Product in Optimization Using Designed Experiments
Response Surface Methodology: Process and Product in Optimization Using Designed Experiments
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Experimental design for simulation: experimental design for simulation
Proceedings of the 35th conference on Winter simulation: driving innovation
Construction engineering and project management I: a construction process simulation web service
Proceedings of the 35th conference on Winter simulation: driving innovation
Proceedings of the 35th conference on Winter simulation: driving innovation
Design and Analysis of Experiments
Design and Analysis of Experiments
The use of simulation for productivity estimation based on multiple regression analysis
WSC '05 Proceedings of the 37th conference on Winter simulation
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From the perspective of flow analysis, the more complex the project, the more wastes are prone to build up, due to the increasing number of interfaces between activities. When processes are further expanded beyond the jobsite to the scale of a supply chain, the complexity is usually beyond human perception. In order to provide a systematic approach to help management make correct and timely decisions, an analytical approach capable of efficiently and economically modeling the complicated processes and to address various managerial questions is necessary.An analytical framework combining simulation, design of experiment, regression analysis, and mathematical programming is proposed to facilitate management to determine the optimal design for a construction process under various constraints. A simplified concrete delivery process is used as an example to illustrate how the framework is implemented. Some implementation issues and other potential applications will be discussed.