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Inspection Measuring Point which is commonly known as condition monitoring location (CML) is a designated area on the piping system where periodic examination or testing, e.g. thickness measurement, is conducted in order to ensure the mechanical integrity of the piping system. Inspection Measuring Point is selected based on Risk Based Inspection (RBI) assessment in order to monitor the progress of specific predicted damage mechanism in the piping system. Most of the number inspections measuring points are thickness measuring points (94.3%). These thickness measuring points are located to monitor the internal thinning of the piping system which caused by corrosion and/or erosion. In 2017, the total numbers of active inspection measuring points for thickness measurement on piping system at PHM area are 1.592.645 ea. Those huge numbers covered around 8117 Piping Groups. Several measurements had been performed repetitively during inspection program resulted from RBI assessment since 2004. The measurement data are recorded from those measuring points in SAP database as measuring document. Cumulatively, from period 2004 up to 2017, there were 3.364.947 measuring documents stored in SAP database. This paper shares the experience in reviewing and analysing the huge number of measuring documents in order to optimize the number inspection measuring points in the future. The optimization are focused on the inspection measuring points where thinning did not occurred in several measurement in certain inspection interval period. Some parameters, such as remaining corrosion allowance, minimum inspection cycle, and minimum inspection interval, are also applied to select which inspection measuring point can be optimized. The analysis result shows that, cumulatively, 261.276 (16.4%) out of 1.592.645 inspection measuring points can be optimized for the next inspection program. According to such cumulative number, 9% to 12% of inspection measuring points can be optimized in yearly basis. These optimized inspection measuring points are distributed in different year due to various interval of inspection program resulted from RBI assessment. Finally, this optimization will impact to reduce inspection cost by reducing unnecessary inspection scope in the future.