Research On Optimization Of Construction Project Based On Lean And Six Sigma Construction

Project optimization problem is not a new problem, but so far is still a problem for further study. Although had all kinds of research to this question, the ability of the existing optimized method are very limited to solve the actual project optimized question only depends on its own. In order to enhance the optimized effect of the engineering project, we need to integrate the research rationally. In recent years the rise of lean and Six Sigma management, in particular the combination of the Lean and Six Sigma management, provides the management of our businesses a new management culture and ideas. Of course, it will also affect the construction industry.This article is the first attempt to apply Six Sigma management methods and thinking to the construction industry. The article apply the lean six sigma management and the thinking of system analysis to the project multi-objective optimization problems, with the hope that enrich the research in the field in theory, and solve project optimization problem better in practice. This article research results can be summarized as follows:(1)After analyzing the superiority of lean six sigma management and the necessity and feasibility of lean six sigma management used to construction industry, the article proposed the concept of lean six sigma construction. Using the thinking of system analysis, the article built up the system of the optimization of construction project based on Lean and Six Sigma construction. The system includes three subsystems, named: process optimization subsystem, multi-objective optimization subsystems, performance guarantee subsystem. Organic combination and mutual promotion of the three subsystems can maximize the optimization of the project.(2)After analyzing the goals of the lean six sigma construction, the article established multi-objective optimization model which have the goals of the quality, the time, the cost, the service. The model function is multi-objective combination optimizations of the project quality, the time, the cost, the service based on the first subsystem witch have optimized each working procedure, the flow, the service. The model can meet customer requirements of these goals to maximum, then to improve customer satisfaction.(3)In order to adapt the solution of the multi-objective optimization model, the article introduces the multi-objective Particle Swarm Optimization (MOPSO) in the optimization techniques and the method aspect and carries on the computer programming operation to the model. Comparing with genetic algorithms (GA), evolved Programming (EP), as well as other gradient-based optimization algorithm, we found that PSO is a kind of algorithms more gifted in the search ability, more convenient in the actual operation than others, so more suitable for solving the model in the article.(4)In order to solve the problem of not obvious effect in the actual operation process of optimization, the article established the achievements guarantee subsystem based on six sigma Scorecard. Using Six Sigma scorecard indicators system, we ensure the performance of projects optimization from the implementation levels. Measurement indicators of Six Sigma Scorecard metrics are more process-oriented rather than function level. The article chooses an appropriate set of indicators from the large number of indicators to ensure optimization activities.Case study proves that the optimization system in this paper can produce a good effect.