DOI QR코드

DOI QR Code

Decision Making for the Optimal Pusher-loaded Scrapers Fleet

트랙터 적재형 스크레이퍼의 최적 장비조합 의사결정

  • 손창백 (세명대학교 건축공학과) ;
  • 이형국 (경북대학교 건축.토목공학부) ;
  • 이동은 (경북대학교 건축.토목공학부)
  • Published : 2013.02.28

Abstract

Pusher-loaded scrapers are important construction equipment in large earthmoving operations. Productivity of a pusher-loaded scraper varies greatly with the temperature or elevation, equipment performance, haul speed, haul-road conditions, method of loading, and number of scrapers per one pusher. Determining of the most economical scrapers fleet demands time-consuming calculation regarding the size of equipment, model name, and number of scrapers because it requires references of numerous performance charts or tables and repetitive use of complicated calculation. Moreover, operating conditions, which contain changeable parameters depending on the time, exaggerate this time-consuming problem. In addition, the calculation consumes a huge amount of time because operation conditions contain parameters which are changeable overtime. This research suggests the optimum economical pusher-loaded scraper fleet(OPSF) system which facilitates calculation process and deals with parameters effectively to complete on operation in decision making stage. The prototype of this program is developed using MATLAB. This provides the graphic user Interface where attribute values related to an operation are specified. When the parameters of an operation are specified by users, the system computes the productivity of each equipment, compares completion times of the operation, and recommends the most economical equipment fleet.

Keywords

References

  1. Amirkhanian, S., and Baker, N. (1992). "Expert system for equipment selection for earth-moving operation." J. Constr. Eng. Manage.,118(2), 318-331. https://doi.org/10.1061/(ASCE)0733-9364(1992)118:2(318)
  2. Caterpillar Handbook, 32nd Ed. (2001). Caterpillar Inc., Peoria, II.
  3. Christian, J., and Xie, T. X. (1996). "Improving earthmoving estimating by more realistic knowledge." Can. J. Civ. Eng., 23, 250-259. https://doi.org/10.1139/l96-026
  4. Hanna, A. (1994). "SELECTCRANE: An expert system for optimum crane selection." Proc., 1st Computing in Civil Engineering Conf., in conjunction with A/E/C Systems, ASCE, Reston, Va., 1, 958-963.
  5. Kuprenas, J., and Henkhaus, T. (2000). "SSPE-A tool for scraper selection and production." Proc., 8th Int. Computing in Civil and Building Engineering Conf., ASCE, Reston, Va., 2, 980-987.
  6. O'Brien, J. J., and Zilly, R. G. (1971). Constructor's management handbook, 1st Ed., McGraw-Hill, New York.
  7. Paulson, B. C., Jr. (1995). Computer application in construction, 1st Ed., McGraw-Hill, New York.
  8. Peurifoy, R. L., and Schexnayder, C. J. (2003). Construction planning, equipment, and methods, 6th Ed., McGraw-Hill, New York.
  9. Touran, A. (1990). "Expert system for compactor selection." J. Transp. Eng., 1163, 338-348
  10. 이동은, 곽한성, 손창백, 건설장비의 최적 운송경로 탐색 방법론 개발, 대한건축학회논문집, 12. 2012.