DOI QR코드

DOI QR Code

A Study on the Hardware Cost Estimation Equation of Professional Service Robot

전문서비스 로봇 하드웨어 비용추정 관계식 개발에 관한 연구

  • Received : 2018.04.20
  • Accepted : 2018.07.20
  • Published : 2018.07.28

Abstract

In this paper, we proposed a parametric estimation method for estimating H/W cost by using the development data of professional service robot in Korea. In addition, we derived the factors and weights that we can estimate the costs depending on the application environmental conditions of the robot. For the analysis, we developed the equation of professional service robot cost estimation using parametric method. We also derived the adjustment factors and following weights through FGI and Delphi for environmental conditions. We have developed a cost estimation equation that reflects the weight, volume, and manufacturing difficulty, and can derive a relational equation that reflects the environmental factors(dust/water, heat/cold, safety, test, technology innovation). This provides an objective basis for estimating the cost of professional service robots and will lead to ongoing research for estimating the H/W development cost of professional service robots. In the future, we will increase reliability by collecting abundant data, and will strengthen models through finding functional factors.

본 연구에서는 모수추정법을 활용하여 국내 전문서비스 로봇 개발 데이터를 기초로 H/W비용추정을 위한 방안제시와 더불어 로봇의 적용 환경여건에 따라 달라지는 비용을 추정할 수 있도록 그 항목과 가중치를 도출하고자 한다. 이를 위하여 모수추정법을 활용하여 전문서비스 로봇 비용추정 방정식을 개발하였으며, 환경여건 고려를 위하여 FGI, 델파이를 통해 조정계수 항목과 이에 따른 가중치를 도출하였다. 분석결과 무게, 부피, 제작난이도가 반영된 비용 추정 방정식을 개발하며, 추정된 비용을 환경적 요소에 따라 조정하기 위한 방진/방수, 내열/내한, 안전, 시험, 기술혁신의 내용을 반영한 관계식을 도출할 수 있었다. 이를 통해 전문서비스 로봇의 비용을 추정할 수 있는 객관적인 근거를 마련할 수 있었으며, 이를 기반으로 전문서비스 로봇 H/W개발비용 추정을 위한 지속적인 연구로 이어질 것이다. 향후에는 다양한 전문서비스 로봇을 통해 풍부한 데이터를 수집하여 신뢰성을 높이고, 기능항목 발굴을 통해 모형 강화를 유도할 것이다.

Keywords

References

  1. International Organzation for Standardization. (2012). ISO 8373:2012 Preview Robots and robotic devices - Vocabulary. Geneva : International Organzation for Standardization.
  2. International Federation of Robotics. (2007). World Robotics Industrial Robots. Frankfurt : International Federation of Robotics.
  3. Y. K. Kim. (2017). The Next Big Thing, Service Robot Trends and Implications. [Brochure]. Deajeon : Institute for Information & communications Technology Promotion.
  4. D. Ahlert & K. P. Franz. (2013). Industrielle Kostenrechnung, Berlin : Springer-Verlag.
  5. R. Roy. (2003). Cost Engineering: Why, what and how?, Decision Engineering Report Series, Cranfield University.
  6. C. Jones. (2007). Estimating and Measuring Software Costs: Bringing Realism to Estimating, NewYork : McGraw-Hill.
  7. O. Trivailo, M. Sippel & Y. A. Sekercioglu. (2012). Review of hardware cost estimation methods, models and tools applied to early phases of space mission planning. Progress in Aerospace Sciences, 53, 1-17. https://doi.org/10.1016/j.paerosci.2012.02.001
  8. R. G. Williams. (1994). Development cost prediction. IEE Colloquium on Life Cycle Costing and the Business Plan, 1-4.
  9. National Research Council. (1990). Improving the accuracy of early cost estimates for federal construction projects. Washington : National Academies Press.
  10. K. Ehrlenspiel, A. Kiewert, U. Lindemann & M. S. Hundal. (2007). Cost-efficient design. Berlin: Springer.
  11. L. S. Wierda. (1988). Product cost-estimation by the designer. Engineering Costs and Production Economics, 13(3), 189-198. https://doi.org/10.1016/0167-188X(88)90005-5
  12. O. Trivailo, M. Sippel & Y. A. Sekercioglu,. (2012). Review of hardware cost estimation methods, models and tools applied to early phases of space mission planning. Progress in Aerospace Sciences, 53, 1-17. https://doi.org/10.1016/j.paerosci.2012.02.001
  13. W. J. Eo, Y. B. Lee & S. J. Kang. (2010). Developing an R&D CER Using Historical Defense Weapon System Data in Korea. Journal of society of Korea industrial and systems engineering, 33(3), 55-62.
  14. W. I. Jung, D. K. Kim & S. J. Kim. (2010). A Study On Developing Weapon System CERs With Considering Various Data Characteristics. Journal of the Military Operations Research Society of Korea, 36(3), 43-56.
  15. Y. K. Jang, S. J. Kang, H. R. Kim, B. I. No, S. S. So, D. S. You, Y. Y. Jang, J. K. Choi & H. W. Hwang. (2010). Development of Launch Vehicle Development Cost Estimation Model. Goyang : Hankuk Aviation University.
  16. K. M. Kim & J. W. Hwang. (2014). A Methodology for Estimating Reliability and Development Cost of a New Liquid Rocket Engine -focused on Staged Combustion Cycle with LOX/LH2. Journal of the Korean society for aeronautical & space sciences, 42(5), 437-443. https://doi.org/10.5139/JKSAS.2014.42.5.437
  17. J. H. Hwang & S. H. Kim. (2015). A study on the method to improve cost estimation of weapon system by using variable transformations. Journal of the Korea Association of Defense Industry Studies, 22(1), 24-37.
  18. N. K. Sung. (2004). Regression analysis. Paju : Freedom academy.
  19. B. S. Choi. (1997). Time series analysis using SAS : Regression analysis. Seoul : Sekyungsa.
  20. S. K. Hong, H. S. Shin & S. D. Park. (2007). Technological forecasting,. Seoul : Korea Industrial Technology Foundation.