Journal of The Korean Society of Agricultural Engineers (한국농공학회논문집)

The Korean Society of Agricultural Engineers (한국농공학회)
권호 표지
DOI QR코드

DOI QR Code

System Simulation of Agricultural Marketing Based on GASS

GASS를 이용한 농산물 유통 시스템 시뮬레이션

  • 서교 (충북대학교 지역건설공학과) ;
  • 이정재 (서울대학교 지역시스템공학과) ;
  • 김태곤 (서울대학교 대학원) ;
  • 이호재 (서울대학교 농업생명과학연구원)
  • Published : 2005.07.01
Download PDF
⟨ Previous Next ⟩

Abstract

The object of this study is to develop simulation model using GASS for analyzing complex agricultural marketing. It's hard to analyze agricultural marketing system which consists of many marketing unit by economic mathematical model. This paper proposes simulation model based on GASS which can reduce complexity of system, and applies the national average wholesale cost and retail cost of alpine Chinese cabbage at 2001, 2002 to proposed simulation model.

Keywords

References

  1. Acock, B. and V. R. Reddy. 1997. Designing an object-oriented structure for crop models. Ecological Modelling. 94: 33-34 https://doi.org/10.1016/S0304-3800(96)01926-6
  2. Arnold Ken and James Gosling. 1996. The $Java^{TM}$ programming language. Addison- Wesley Publishing Company, Inc
  3. Caldwell, R. M. and A.A.J. Fernandez, 1998. A generic model of hierarchy for systems analysis and simulation. Agricultural Systems. 57(2): 197-225 https://doi.org/10.1016/S0308-521X(96)00071-6
  4. Chen, Jia-Lin and James F. Reynolds. 1997. Cepsi: A generic plant simulator based on object-oriented principles. Ecological Modelling 94: 53-66 https://doi.org/10.1016/S0304-3800(96)01928-X
  5. Cho, B. H., S. H. Jung, K. H. Kim, H. R. Oh, Y. R. Seong, 1999. Development and performance evaluation of a car assignment and routing algorithm for reducing transportation cost in a logistics system. Journal of the Korea Society for Simulation. Vol. 8 (3): 91-103. (in Korean)
  6. Goyal S. K. and Fassil Nebebe. 2000. Determination of economic production - shipment policy for a single-vendor - single-buyer system. European Journal of Operational Research. Vol. 121 (1): 175-178 https://doi.org/10.1016/S0377-2217(99)00013-2
  7. Grunert, S. C. and K. Kristensen. 1992. The green consumer: Some Danish evidence. Marketing for Europe - Marketing for the future. Aarhus, pp. 525-539
  8. Kropff, M. J., J. W. Jones, and Gon van Laar. 2001. Advances in systems approaches for agricultural development. Agricultural Systems. 353-354 https://doi.org/10.1016/S0308-521X(01)00050-6
  9. Nersesian, Roy L. and G. Boyd Swartz. 1996. Computer simulation in logistics: with visual basic application. Quorum Books
  10. Papajorgji, P., R. Braga, J.W. Jones, and C.H. Porter. 2000. Modular crop model using unified modeling language. Agricultural and Biological Engineering Department, University of Florida, Gainesville, FL
  11. Parker, C. 1999. Decision support systems: lessons from past failures. Farm Management 10: 273-289
  12. Toru Higuchi and Marvin D. Troutt. 2004. Dynamic simulation of the supply chain for a short life cycle product -lessons from the tamagotchi case. Computers & Operations Research. 31(7): 1097-1114 https://doi.org/10.1016/S0305-0548(03)00067-4
  13. Tuorila, H. 1987. Selection of milks with varying fat contents and related overall liking, attitudes, norms and intentions. Appetite 8: 1-14 https://doi.org/10.1016/S0195-6663(87)80022-3
  14. Van Evert, F. K. and G. S. Campbell. 1994. Cropsyst: a collection of object-oriented simulation models of agricultural systems. Agronomy Journal. 86(2): 325-331 https://doi.org/10.2134/agronj1994.00021962008600020022x
  15. Yang, B. H., Y. H. Lee. 1994. Design of the simulation - based vehicle distribution planning system for logistics. J. of KIIE, 7 (2): 87-97. (in Korean)
  16. Yang, I. T., D. M. Kim, Y. G. Yu. 2001. On application of the GSIS and AHP in determination of the optimum route. J. of KSCE. 21(2-0): 247-253. (in Korean)
  17. Yi, H. J. 2003. Simplifying complexity and emerging self-organization of integrated agricultural system models. PhD thesis, Seoul National University