The geotechnical community has since decades been acquainted with the use of statistical approach for design optimizations. This has been approved as an operational method by many practitioners in the field but is yet to see a major full-scale breakthrough and acceptance in practice. The advantage of quantifying the many different sources of uncertainties in a design is already a fairly acknowledged method and is in this report expanded for the use in the case of road embankments founded on soft soil improved by lime-cement columns. Statistical approach was adopted with practice of reliability base design (RBD ) to consider the importance of ingoing variables’ variability with the target of streamlining the result by decreasing uncertainties (by means of increased measurements, careful installation, etc.). By constructing a working model that gives the corresponding area ratio between columns and soil needed to fulfill the different criterion set as input values, weight is put on investigating the effects of different coefficients of variation (COV ). The analyses show that the property variabilities have a significant influence on the requisite area ratio that an active use of RBD is a useful tool for optimizing designs in geotechnical engineering. The methodology favors the contractors own development of the mixing process since higher design values can be utilized when