Cost Estimation Process of Remote Sensing Satellites 
Dechamma K K1, Mohith C G2, Suma Mirji3, Rahul Kumar4, Palani Murgan5, K N Subramanya6
1Dechamma K K*, Department of Industrial Engineering and Management, RV College of Engineering, Bengaluru (Karnataka), India.
2Mohith C G, Department of Industrial Engineering and Management, RV College of Engineering, Bengaluru (Karnataka), India.
3Suma Mirji, Department of Industrial Engineering and Management, RV College of Engineering, Bengaluru (Karnataka), India.
4Rahul Kumar, SE Engineer, UR Rao Satellite Centre, ISRO, Bengaluru (Karnataka), India.
5Palani Murugan, Group Head, IRS-PMSG, UR Rao Satellite Centre, ISRO, Bengaluru (Karnataka), India.
6K N Subramanya, Principal & Professor, R V College of Engineering, Bengaluru (Karnataka), India.
Manuscript received on July 22, 2021. | Revised Manuscript received on December 21, 2021. | Manuscript published on December 30, 2021.| PP: 78-85 | Volume-11 Issue-2, December 2021. | Retrieval Number: 100.1/ijeat.F29970810621 | DOI: 10.35940/ijeat.F2997.1211221
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Forecasting cost of satellites is not a recent development in space agencies, they were in practice from the beginning using traditional methods. The attempt to make it simpler, quicker and accurate; established the path to build a model by incorporating statistics, technology and technical knowledge. Building relationships between satellite cost and the technical parameters affecting them directly or indirectly became the basis of the model. The building of the cost model is more vexing than it looks. It requires data to perform regression analysis, which can be linear or nonlinear along with transformations. This paper also specifies the significance of the uncertainty impacting the cost associated with the technical parameters and the method of estimation. The overall model is mapped into three parts; the manpower and facility cost model being the deterministic bottom-up model and the combination of probabilistic and deterministic model for satellite cost.
Keywords: Costing, Work Breakdown Structure, Technical Cost Relationship, Uncertainty, Monte Carlo Simulation.
Scope of the Article: Remote Sensing