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Overlapping design and construction activities and an optimization approach to minimize rework

机译:重叠的设计和施工活动以及优化方法以最大程度地减少返工

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摘要

Construction industry often faces challenge to complete project in minimum possible time. Overlapping design and construction activities with early information from the precedent activities shortens project completion with the expense of rework in downstream design and construction activities. However, the expected amount of rework must be properly quantified to decide on the overlapping strategy. This study presents an integrated framework to overlap design and construction activities using the concepts of upstream evaluation and downstream sensitivity characteristics and develops a simulation model in order to ascertain project performance in terms of total project duration and expected amount of rework. The results indicate that reduction in project duration and expected rework amount vary based on the accuracy of upstream early information and sensitivity of downstream activities. Moreover, unplanned overlapping may not necessarily reduce project duration but may result in excessive design and construction rework which can be very costly. This study also describes a decision-making framework to optimize project schedule with minimal rework. The search for an optimal overlapping strategy is carried out using an Overlapping Strategy Matrix (OSM) with the genetic algorithm (GA) to eliminate unnecessary rework. The proposed optimization method minimizes the expected amount of rework while maintaining the project completion contract date and provides an effective means to decide on the overlapping strategy.
机译:建筑行业通常面临在尽可能短的时间内完成项目的挑战。与先前活动的早期信息重叠的设计和建造活动会缩短项目的完成时间,但会浪费下游设计和建造活动的返工费用。但是,必须适当地量化预期的返工量,以决定重叠的策略。这项研究提出了一个使用上游评估和下游敏感性特征的概念重叠设计和施工活动的集成框架,并开发了一个仿真模型,以根据总项目工期和预期返工量确定项目绩效。结果表明,根据上游早期信息的准确性和下游活动的敏感性,项目工期和预期返工量的减少会有所不同。此外,计划外的重叠不一定能减少项目工期,但可能导致过多的设计和施工返工,这可能是非常昂贵的。这项研究还描述了一个决策框架,以最小的返工来优化项目进度。使用具有遗传算法(GA)的重叠策略矩阵(OSM)进行最佳重叠策略的搜索,以消除不必要的返工。所提出的优化方法在保持项目完成合同日期的同时,最大程度地减少了预期的返工量,并为决定重叠策略提供了有效的手段。

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