Search for a command to run...
Construction in extreme environments like the moon is a challenging task due to the harsh environmental conditions of the lunar vacuum. In addition, the lack of conventional building materials and the presence of toxic soil make the use of human workers difficult or impossible, thus demanding a feasible and sustainable construction method. To execute construction projects in such environments, autonomous robots are generally seen as viable alternatives to human workers, with local materials preferred for construction sustainability. However, the use of autonomous robots for construction requires a high level of planning due to the dynamic nature of construction activities, as robots lack the rational human intelligence to make real-time decisions. This presents a need for more detailed planning and scheduling to optimize the use of resources and ensure success. In this study, a framework for discrete event simulation (DES) for the construction of a lunar launch and landing pad (LLP) is presented and implemented. This DES framework will enable the incorporation of complex decision logic in the dynamic process of LLP construction where events occur at distinct points in time. A mixed-methods approach involving the collection, review, and synthesis of pertinent data and information from reports, technical papers, equipment designers, and subject-matter experts, coupled with resource quantification, simulation model development, process iteration, and optimization, was used for this investigation. The developed framework helps to facilitate the estimation of quantities of required bulk and refined regolith (lunar soil) and the discrete-event process simulation for the construction of the lunar LLP and blast shield. The findings of this study are expected to provide insight into the discrete event simulation of a construction project where autonomous robots are used for project execution and to facilitate time-cost tradeoff decisions in project planning and execution.