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Statistical Control for Road Pavements
Author(s) -
Griffiths David,
Gulati Chandra,
Ollis Jim
Publication year - 2003
Publication title -
australian and new zealand journal of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.434
H-Index - 41
eISSN - 1467-842X
pISSN - 1369-1473
DOI - 10.1111/1467-842x.00269
Subject(s) - statistical process control , control chart , control (management) , autoregressive integrated moving average , transport engineering , road construction , grid , road surface , quality (philosophy) , process (computing) , population , chart , engineering , civil engineering , mathematics , computer science , statistics , time series , philosophy , geometry , demography , epistemology , artificial intelligence , sociology , operating system
Roads are assets vital to the economies of nations, particularly those with such low population density as Australia and New Zealand. The quality of road construction is of great importance. The application of statistical techniques to determining whether the construction of road pavement is being carried out to the design specification can be of great benefit to administrators and contractors. In this paper, a method is presented for obtaining control limits for a means chart when correlated observations are taken over a grid on a two‐dimensional surface. Data from a closely monitored road construction project are used to determine if the construction process can be considered ‘in control’. The nature of the correlation structure is determined using ARIMA models. The ultimate aim of the control charts and specifications is to control base course thickness. Controlling the pavement surfaces is a means to this end.