$\require{mediawiki-texvc}$

연합인증

연합인증 가입 기관의 연구자들은 소속기관의 인증정보(ID와 암호)를 이용해 다른 대학, 연구기관, 서비스 공급자의 다양한 온라인 자원과 연구 데이터를 이용할 수 있습니다.

이는 여행자가 자국에서 발행 받은 여권으로 세계 각국을 자유롭게 여행할 수 있는 것과 같습니다.

연합인증으로 이용이 가능한 서비스는 NTIS, DataON, Edison, Kafe, Webinar 등이 있습니다.

한번의 인증절차만으로 연합인증 가입 서비스에 추가 로그인 없이 이용이 가능합니다.

다만, 연합인증을 위해서는 최초 1회만 인증 절차가 필요합니다. (회원이 아닐 경우 회원 가입이 필요합니다.)

연합인증 절차는 다음과 같습니다.

최초이용시에는
ScienceON에 로그인 → 연합인증 서비스 접속 → 로그인 (본인 확인 또는 회원가입) → 서비스 이용

그 이후에는
ScienceON 로그인 → 연합인증 서비스 접속 → 서비스 이용

연합인증을 활용하시면 KISTI가 제공하는 다양한 서비스를 편리하게 이용하실 수 있습니다.

MODELLING AND EXPERIMENTATION OF THE CONCRETE SUPPLY AND DELIVERY PROCESS

Civil engineering and environmental systems, v.16 no.2, 1999년, pp.93 - 114  

SMITH Shell Lect, SIMON D.

Abstract

Like many construction processes, concrete delivery and supply is stochastic. This system cannot therefore be modelled deterministically, using average data as input, as the resulting estimates of productivity and cost would be not take into account any negative effects of the random nature of events. The many factors that influence the concrete system can be summarised into: truckmixer interarrival time, truckmixer position time, concrete load pump time, truckmixer volume and concrete rejection rate. The work described in this paper starts with a model of the above factors, based on actual observations of real concreting activities. The random variability of the factors has been incorporated into the model by the use of the gamma distribution, which was found to match the raw data better than other commonly used probability distributions. Of the many methods available to analyse such a model, simulation was used because of its ease of application and because it allows the model to be experimented with: if the model is valid, results obtained through the experimentation will have both significance and use in the management of the real system. The main results of the experimental analysis concern the optimisation of the concreting process: the maximisation of productivity and the minimisation of cost. It is the latter which provides the most interesting and useful conclusions, which shows that the cost of a concreting operation to the concrete supplier varies significantly depending on the operating conditions. This variation in cost is much more marked than the variation of contractor cost - an important anomaly as the contractor has a greater influence over the management of concreting operations.(Author abstract)

참고문헌 (22)

  1. Statistical Models in Engineering Hahn G. J. 1967 

  2. Proceedings of the 5th International Conference on Computing in Civil and Building Engineering AbouRizk S. M. 1190 1993 

  3. Proceedings of the Conference Bernold L. E. 156 1986 

  4. Farid, Foad, Koning, Thomas L.. Simulation Verifies Queuing Program for Selecting Loader‐Truck Fleets. Journal of construction engineering and management, vol.120, no.2, 386-404.

  5. Smith, S. D., Osborne, J. R., Forde, M. C.. Analysis of Earth-Moving Systems Using Discrete-Event Simulation. Journal of construction engineering and management, vol.121, no.4, 388-396.

  6. Smith, S. D., Osborne, J. R., Forde, M. C.. THE USE OF A DISCRETE-EVENT SIMULATION MODEL WITH ERLANG PROBABILITY DISTRIBUTIONS IN THE ESTIMATION OF EARTHMOVING PRODUCTION. Civil engineering systems, vol.13, no.1, 25-44.

  7. Civil Engineering Systems Carmichael D. G. 118 3 1986 

  8. Engineering Queues in Construction and Mining Carmichael D. G. 1987 

  9. Wakefield, Ron R., Sears, Glenn A.. Petri Nets for Simulation and Modeling of Construction Systems. Journal of construction engineering and management, vol.123, no.2, 105-112.

  10. Microcomputers in Civil Engineering Kartaw N. 283 11 1996 10.1111/j.1467-8667.1996.tb00330.x 

  11. Flood, Ian, Christophilos, Paul. Modeling construction processes using artificial neural networks. Automation in construction, vol.4, no.4, 307-320.

  12. AbouRizk, Simaan M., Halpin, Daniel W., Wilson, James R.. Fitting Beta Distributions Based on Sample Data. Journal of construction engineering and management, vol.120, no.2, 288-305.

  13. SMITH, S D. CONCRETE PLACING ANALYSIS USING DISCRETE-EVENT SIMULATION.. Proceedings of the Institution of Civil Engineers. Structures and buildings, vol.128, no.4, 351-358.

  14. Proceedings of the 2nd Congress on Computing in Civil Engineering Baldwin A. 1475 1995 

  15. Senior, Bolivar A.. Late-Time Computation for Task Chains Using Discrete-Event Simulation. Journal of construction engineering and management, vol.121, no.4, 397-403.

  16. Proceedings of the 1997 5th ASCE Construction Congress Tommelein I. D. 156 1997 

  17. Proceedings of the 1997 Winter Simulation Conference Koo T. K. J. 99 1997 

  18. Garcia, Humberto E., Houshyar, Azim. Discrete Event Simulation of Fuel Transfer Strategies for Defueling a Nuclear Reactor. Simulation : Transactions of the Society for Modeling and Simulation International, vol.70, no.2, 104-118.

  19. Le, Henry, Young, William. Modelling shopping centre traffic movement (1): model validation. Transportation planning and technology, vol.21, no.3, 203-233.

  20. Statistics for Experimenters Box G. E. P. 1978 

  21. Simulation Modeling and Analysis Law A. M. 1991 

  22. Spon's Civil Engineering and Highway Works Price Book 1998 

관련 콘텐츠

저작권 관리 안내
섹션별 컨텐츠 바로가기

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

AI-Helper 아이콘
AI-Helper
안녕하세요, AI-Helper입니다. 좌측 "선택된 텍스트"에서 텍스트를 선택하여 요약, 번역, 용어설명을 실행하세요.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.

선택된 텍스트

맨위로