Journal of Korean Society of Industrial and Systems Engineering (산업경영시스템학회지)

Society of Korea Industrial and System Engineering (한국산업경영시스템학회)
권호 표지
DOI QR코드

DOI QR Code

Analysis of the Impact of Resource Allocation Strategy on the Scheduling of Core Defense Technology Project Agreements

자원배분 전략에 따른 국방핵심기술 과제 협약일정에 미치는 영향 분석

  • Jangeun Kim (Korea Research Institute for defense Technology planing and advancement / Department of Industrial Engineering, Pusan National University) ;
  • Euiyoung Jeong (Korea Research Institute for defense Technology planing and advancement) ;
  • Soondo Hong (Department of Industrial Engineering, Pusan National University)
  • 김장은 (국방기술진흥연구소 / 부산대학교 산업공학과) ;
  • 정의영 (국방기술진흥연구소) ;
  • 홍순도 (부산대학교 산업공학과)
  • Received : 2024.07.06
  • Accepted : 2024.08.09
  • Published : 2024.09.30
Download PDF
⟨ Previous Next ⟩

Abstract

There is a demand for introducing a challenging and innovative R&D system to develop new technologies to generate weapon system requirements. Despite the increasing trend in annual core technology development tasks, the infrastructure expansion, including personnel in research management institutions, is relatively insufficient. This situation continuously exposes difficulties in task planning, selection, execution, and management. Therefore, there is a pressing need for strategies to initiate timely research and development and enhance budget execution efficiency through the streamlining of task agreement schedules. In this study, we propose a strategic model utilizing a flexible workforce model, considering constraints and optimizing workload distribution through resource allocation to minimize bottlenecks for efficient task agreement schedules. Comparative analysis with the existing operational environment confirms that the proposed model can handle an average of 67 more core technology development tasks within the agreement period compared to the baseline. In addition, the risk management analysis, which considered the probabilistic uncertainty of the fluctuating number of core technology research and development projects, confirmed that up to 115 core technology development can be contracted within the year under risk avoidance.

Keywords

References

  1. Blazewicz, J., Lenstra, J.K., and Rinnooy Kan, A.H. G., Scheduling subject to resource constraints: Classification and complexity, Discrete Applied Mathematics, 1983, Vol. 5, pp. 11-24. https://doi.org/10.1016/0166-218X(83)90012-4
  2. DAPA, National Defense Research & Development Work Processing Guideline, 2023.
  3. Gerard, C. and Terwiesch, C., Matching supply with demand: An introduction to operations management, McGraw-Hill Custom Pub, 2014.
  4. Gonen, A., Simulation results on project completion time. In PICMET'08-2008 Portland International Conference on Management of Engineering & Technology, IEEE, 2008, pp. 1462-1465.
  5. Hartmann, S. and Briskorn, D., "An updated survey of variants and extensions of the resource-constrained project scheduling problem, European Journal of Operational Research, 2022, Vol. 297, No. 1, pp. 1-14. https://doi.org/10.1016/j.ejor.2021.05.004
  6. Hartmann, S., Project scheduling with resource capacities and requests varying with time: A case study, Flexible Services and Manufacturing Journal, 2013, Vol. 25, No. 1-2, pp. 74-93. https://doi.org/10.1007/s10696-012-9141-8
  7. Hopp, W.J. and Spearman, M.L., Factory physics 3rd Edition, Waveland Press, 2011.
  8. KRIT, Core Technology Research & Development Project Management Guideline, 2022.
  9. KRIT, Intoduction to Main business of Korea Research Insititute for defense Technology planning and advancement, 2023.
  10. Lim, S.H. and Ahn, K.S., Budget System Improvement Plan To Enhance Defense R&D Effectiveness, KISTEP Issue Paper, 2023.
  11. Naber, A. and Kolisch, R., MIP models for resource-constrained project scheduling with flexible resource profiles, European Journal of Operational Research, 2014, Vol. 239, No. 2, pp. 335-348. https://doi.org/10.1016/j.ejor.2014.05.036
  12. Naber, A., Resource-constrained project scheduling with flexible resource profiles in continuous time, Computers & Operations Research, 2017, Vol. 84, pp. 33-45. https://doi.org/10.1016/j.cor.2017.02.018
  13. Pritsker, A.A.B., Watters, L.J., and Wolfe, P.M., Multiproject scheduling with limited resources: A zero-one programming approach, Management Science, 1969, Vol. 16, pp. 93-107. https://doi.org/10.1287/mnsc.16.1.93
  14. Republic of Korea, Defense Science and Technology Innovation Promotion ACT, No. 17163, 2020.
  15. Republic of Korea, Enforcement Decree of The Defense Science and Technology Inovation Promotion ACT, No. 31557, 2021.
  16. Republic of Korea, National finance ACT, No. 31557, 2023.
  17. Schwindt, C. and Zimmermann, J. (Eds.), Handbook on project management and scheduling vol. 1. Cham, Switzerland: Springer International Publishing, 2015.
  18. Schwindt, C. and Zimmermann, J. (Eds.), Handbook on project management and scheduling, vol. 2. Cham, Switzerland: Springer International Publishing, 2015.
  19. Stevenson, W.J., Hojati, M., and Cao, J., Operations management (p. 182), New York: McGraw-Hill Education, 2014.