加纳建筑业招标价格指数的制定

E. Kissi, T. Adjei-Kumi, Jerry Gyimah Jnr
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摘要

投标价格指数(TPI)仍然是预测投标价格的最佳方法。在加纳建筑工业(GBI)中,有几个指数的发展有助于成本管理实践,例如,建筑成本指数和材料指数等。尽管如此,在加纳建筑业建筑项目的设计阶段,没有预测投标价格的指数。本研究的动机是开发投标价格指数,以方便预测建筑项目的初始成本。通过深入的文献查阅和二次资料收集,采用Laspeyres编制指数,实际指数采用Excel电子表格。考虑的变量包括初步工作和测量工作部分,其中包括基础结构,混凝土工作,钢筋,砌筑,衬里/护套,窗户/门/楼梯,金属制品,表面处理,卫生设备/配件和电力供应/电力照明系统的工程量清单。研究结果显示,在2008年至2016年的8年期间,平均价格变化约为4.42%。该研究为加纳建筑业开发了投标价格指数,以便在初始设计阶段轻松预测投标价格,然而,指数的误差范围为±3。这些指数的发展将作为进一步发展全球收支其他指数的基础,例如地点指数和有效成本管理实践的价值指数。
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Development of Tender Price Indices for the Ghanaian Building Industry
Tender price indices (TPI) remain an optimum process for predicting tender prices. There have been several indices’ developments in the Ghanaian Building Industry (GBI) to help in cost management practices, for instance, building cost indices, and material indices among others. Notwithstanding, there are no indices for forecasting tender price at the design stage of building projects in the Ghanaian Building Industry. The motivation of this study is to develop tender price indices that would facilitate easy prediction of the initial cost of building projects. Through a thorough literature review and secondary data collection, the index was formulated using Laspeyres with Excel spreadsheet for the actual index. The variables considered include preliminaries and measured work sections which include the substructure, concrete work, reinforcement, masonry, lining/sheathing, window/door/stairs, metalwork, surface finishes, sanitary appliances/fitting and electrical supply/power light system of the Bills of Quantities. The finding of the study shows that on average there is a change in price of about 4.42 per cent within the eight-year period from 2008 to 2016. The study has developed tender price indices for the Ghanaian Building industry for the facilitation of the easy prediction of the tender prices at the initial design stage, however, the indices have an error margin of ±3. The development of these indices will serve as the basis for further development of other indices in GBI such as locational indices and value-based indices for effective cost management practices.
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