An Integration of a Buffering Assessment Model Based on Fuzzy Logic With LPS™ for Improving Highway Construction Process

Moataz Farag1, Frtiz Gehbauer2 & Ankit Bhatla3

1Research Assistant, Institute for Technology and Management in Construction (TMB), Karlsruhe Institute for Technology (KIT), Germany, farag@tmb.uni-karlsruhe.de, Tel: +49(0)721 608 5444.
2Professor, Institute for Technology and Management in Construction (TMB), Karlsruhe Institute for Technology (KIT), Germany, gehbauer@tmb.uni-karlsruhe.de
3Graduate student, Indian Institute of Technology (IIT), Gawahati, India, a.bhatla@iitg.ernet.in

Abstract

Highway construction projects have special attributes, owing to their usual execution in an environment characterized by varying degrees of uncertainty. This paper aims at testing the vital role of buffers design and management for increasing the reliability of scheduling as well as mitigating the influences of uncertainty on the construction project from the Lean Construction viewpoint. This research paper develops a sound and rational integration system framework of Last Planner System™, as a production control tool, and a proper buffering assessment model called FLBM, which is based on fuzzy logic system. FLBM also focuses on increasing the reliability of buffers to match the actual degree of variation by considering a set of factors contributing to variability in the execution of a project. Simulation of the model is accomplished in MATLAB using sample data to verify the model theoretically. A case study was simulated through FLBM to validate the credibility of the model practically. The results of the simulation gave a positive feedback, reflecting the actual conditions. A set of scenarios were simulated using the FLBM in order to validate the model. In a further step, the proposed model was also employed in the course of the implementation of LPS™.

Keywords

Last Planner System, Buffer design and management, Fuzzy logic, Highway.

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Reference

Farag, M. , Gehbauer, F. & Bhatla, A. 2010, 'An Integration of a Buffering Assessment Model Based on Fuzzy Logic With LPS™ for Improving Highway Construction Process' In:, Walsh, K. & Alves, T., 18th Annual Conference of the International Group for Lean Construction. Haifa, Israel, 14-16 Jul 2010. pp 264-273

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