Objective:
The main objective will be to create an analytical model that can examine the performance of OSAM systems without using expensive computing simulations.
Motivation for research:
Robotic OSAM is anticipated to be a crucial technology and idea for long-term, environmentally friendly space exploration. The space industry is undergoing a significant shift, and there is considerable interest in alternate strategies for future space systems that increase capabilities while simultaneously lowering costs. Science, space exploration, commercial missions, and national security are all seen as directly benefiting from technologies used to carefully approach, inspect, grip, manipulate, repair, refuel, integrate, and build entirely new platforms and spacecraft on orbit. As a result, a number of public, commercial, and international organizations are making investments in on-orbit activities such robotic assembly and manufacture, docking and proximity operations, and satellite inspection and servicing. Large markets have been anticipated by industry experts for operations related to on-orbit servicing, assembly and manufacturing.
Plan of method:
Utilizing queuing theory and inventory management techniques, an analytical model will be created. A case study will be used to show the accuracy and efficacy of the analytical model as the findings of the computational simulation will be contrasted with those of the analytical model.