Increasing productivity in ETO construction projects through a lean methodology for demand predictability

P. Dallasega, E. Rauch, D. Matt, Andrea Fronk
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引用次数: 29

Abstract

Construction is one of the main sectors of the economy, globally. In Italy this sector is highly fragmented and consists mostly of small and medium-sized enterprises (SMEs). During a traditional construction project many different disciplines interact causing high coordination efforts. The main problem is a weak planning of on-site construction processes. Especially shared resources (like tower cranes) are often the bottleneck processes on-site. The paper presents a methodology for demand predictability which is based on the Rolling-Forecast approach and consists of three modules: “Planning”, “Actualization” and “Progress”. Within the module “Planning”, tasks are assigned following budget specifications. By the module “Actualization” the deviation from budget is measured. By the module “Progress” the construction progress is measured and a reliable budget monitoring is performed. For aligning the engineering, prefabrication and installation of Engineer-to-Order (ETO) components a Constant Work in Process (CONWIP) control loop is described. For increasing the productivity on-site a continuous improvement process which is based on the plan-do-check-action (PDCA) cycle is presented. A practical implementation of the methodology for demand predictability within the expansion project of the central hospital of Bolzano in North Italy is included. Scientific findings up to now and the expected outcomes are presented.
通过需求可预测性的精益方法提高ETO建设项目的生产率
建筑业是全球经济的主要部门之一。在意大利,该部门高度分散,主要由中小型企业(SMEs)组成。在传统的建设项目中,许多不同的学科相互作用,导致高度的协调工作。主要问题是现场施工过程规划薄弱。特别是共享资源(如塔式起重机)往往是现场的瓶颈过程。本文提出了一种基于滚动预测方法的需求可预测性方法,该方法由三个模块组成:“计划”、“实现”和“进展”。在“计划”模块中,根据预算规格分配任务。通过“实现”模块对预算偏差进行测量。通过“进度”模块测量施工进度并执行可靠的预算监控。为了校准工程,预制和安装的工程师按订单(ETO)组件的恒定在制品(CONWIP)控制回路描述。为了提高现场生产效率,提出了一种基于计划-执行-检查-行动(PDCA)循环的持续改进过程。包括在意大利北部博尔扎诺中心医院扩建项目中实际实施需求可预测性方法。介绍了迄今为止的科学发现和预期结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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