Journals / İTÜ Dergisi Seri D: Mühendislik / 2006 / Cilt: 5 - Sayı: 2/1 2/2

A simulation-based decesion support tool for economical materials management system in the construction industry

İnşaat sektöründe ekonomik malzeme yönetim sistem seçimi için simulasyon modeli

Pages
105–115
Publication Date
2022-10-19
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The case studies revealed that using the simulation-based decision support tool provided the contractor with a cost saving of 4,2-7.3% in the studied projects.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Materials constitute a large proportion of the total cost of construction.
📊
Key Findings & Data:Proper management of the material flow may play a significant role in enhancing the effectiveness of a contractor.
💡
Conclusion & Impact:The case studies revealed that using the simulation-based decision support tool provided the contractor with a cost saving of 4,2-7.3% in the studied projects.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Materials constitute a large proportion of the total cost of construction. Proper management of the material flow may play a significant role in enhancing the effectiveness of a contractor. The generally acknowledged rules of materials management are small orders, frequent deliveries, and reduced inventory. A contractor should be familiar, with the impacts of lot size (large or small) and buffer size (large, medium or small) as governed by contractor's scheduling practice (optimistic, neutral or pessimistic) in handling uncertainty and variability on the economics of the each material management alternative at the beginning of the project in order to make a decision on the most economical alternative that will be used throughout the project. The main objective of this study is to provide contractors with an objective and dynamic tool, namely a discrete event simulation model, to assist them in selecting the most economical materials management system by recommending buffer sizes, a scheduling practice, and lot sizes given the special conditions of the project at the beginning of the project. After the simulation-based decision support tool was completed, it was time to plug the actual data obtained from the completed three trade center projects into the simulation model and run the model. The case studies revealed that using the simulation-based decision support tool provided the contractor with a cost saving of 4,2-7.3% in the studied projects.

Özet

Bir yüklenici inşaat firması, projenin en başında, bolluk miktarı (büyük, orta veya küçük), planlama yaklaşımı (iyimser, nötr veya kötümser) ve parti hacmine (büyük veya küçük) bağlı olarak değişen 18 değişik malzeme yönetim alternatifinden birini seçebilir. Bu araştırmada, yüklenici inşaat firmalarına, en düşük toplam envanter maliyetini oluşturacak olan bolluk miktarını, planlama yaklaşımını ve parti hacmini tavsiye edecek simulasyon tabanlı karar destek modeli geliştirilmiş ve bu model yardımı ile tamamlanmış olan üç ticaret merkezi projesinden elde edilen veriler kullanılarak sözkonusu malzeme yönetim sistem alternatifleri için toplam envanter maliyeti hesaplanmıştır. İncelenen projelerde, geliştirilen modelin uygulanması, yüklenici inşaat firmalarına %4.2-7.3'lük bir maliyet kazancı sağlamıştır.

🔖

Cite This Article

MÜNGEN, U., POLAT, G. (2022). A simulation-based decesion support tool for economical materials management system in the construction industry. İTÜ Dergisi Seri D: Mühendislik, Cilt: 5 - Sayı: 2/1 2/2, 105–115. https://ajindex.com/articles/557226

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (13)

  1. Abdulhadi, N. H., (1997). Simulation as a tool for re-engineering construction processes, Doktora Tezi, University of Colorado at Boulder, 258 sayfa, ABD. Abdul-Rahman, H. ve Alidrisyi, M. N., (1994). A perspective of materials management practices in a fast developing economy: the case of Malaysia, Construction Management and Economics, 12, 413-422.
  2. Agapiou, A., Flanagan, R., Norman, G. ve Notman, D., (1998). The changing role of builder’s merchants in the construction supply chain, Construction Management and Economics, 16, 351-361.
  3. Akintoye, A., (1995). Just in time application and implementation for building materials management, Construction Management and Economics, 13, 105-113.
  4. Al-Sudairi, A., (2000). Evaluation of construction processes: traditional practices versus lean principles. Doktora Tezi, University of Colorado at Boulder, 244 sayfa, ABD. Arditi, D., Akan, G. T. ve Gurdamar, S., (1985). Reasons for delays in public projects in Turkey, Construction Management and Economics, 3, 171-181.
  5. Bleakley, F., (1994). Just-in-time inventories fade in appeal as the recovery leads to rising demand, The Wall Street Journal, A, 2-25.
  6. Cua, K. O., McKone, K. E. ve Schroeder, R. G., (2001). Relationships between implementation of TQM, JIT, and TPM and manufacturing performance, Journal of Operations Management, 19, 675-694.
  7. Ibn-Homaid, N.T., (2002). A comparative evaluation of construction and manufacturing materials management, International Journal of Project Management, 20, 263-270.
  8. Karpak, B., Kumcu, E. ve Kasuganti, R. R., (2001). Purchasing materials in the supply chain: managing a multi-objective task, European Journal of Purchasing and Supply Management, 7, 209-216.
  9. McCabe, B., (2003). Monte carlo simulation for schedule risks, Proceedings, 2003 Winter Simulation Conference, 1561-1565,
  10. Kanada. Norris, F., (1994). Inventories are rising for the right reasons, The New York Times, July 31, F1. Ohno, T., (1987).
  11. Toyota Production System, Productivity Press,
  12. Portland, OR, ABD. Pheng, L. S. ve Chan, Y.M., (1997). Managing Productivity in Construction: JIT Operations and Measurements, Ashgate Publishing Co., Brookfield, VT, ABD. Pheng, L. S. ve Chuan, C. J., (2001). Just-in-time management of precast concrete components, Journal of Construction Engineering and Management, 127, 494-501.
  13. Pheng, L. S. ve Hui, M. S., (1999). The application of jit philosophy to construction: a case study in site layout, Construction Management and Economics, 17, 657-668. Pheng,