Closure to 'Knowledge-Based Simulation Modeling of Construction Fleet Operations Using Multimodal-Process Data Mining' by Reza Akhavian and Amir H. Behzadan

摘要

The authors would like to thank the discussers for showing interest in the original paper and for taking the time and effort to respond. In the following, the authors try to address the major points raised by the discussers about the contents of the original paper. The ability to automatically generate simulation models was not claimed at any point in the original paper. Rather, the immediate scope of the paper was the design and implementation of a framework capable of extracting contextual knowledge from multimodal-process data. This framework will be a key component for the automated generation of simulation models, which represents a much larger ongoing research currently undertaken by the authors. As stated in the abstract of the original paper, "This paper describes the latest efforts by authors… that provides a solid basis for automated generation and refinement of simulation models…" The primary contribution of the original paper was clearly stated in the subsection titled "Automated Simulation Model Generation." The authors attempted to distinguish between completed and ongoing work in the following statement: "As stated previously, a major contribution of this research to the body of knowledge is that it will ultimately provide means and methods necessary to conduct (near-)real-time operations-level planning, look-ahead scheduling, and short-term decision making by enabling the automated generation of adaptive simulation models using the contextual knowledge extracted from multimodal data sets."