تطوير نظام احصائي لتحقيق الاستثمار الامثل لمعدات التشييد في سوريا

It has been observed that the local construction companies have a defect in their equipment management which causes an uneconomic investment in their equipment; the storages are full of broken equipment and repair operations consume the companies' budgets. Statistical methodology has been based on the field data collected by the companies about the equipment cost and its operational use so that any local company can use this methodology to find the relation between the age of the equipment and its cost. The regressive equations have been found to express the relation between the cumulative hours of use and the cumulative cost for the construction equipment in companies of the public sector. Using the statistical methods, this has been done through a study of a cross-section of these companies including /181/ pieces of the construction equipment. Consequently, the second-order and third-order polynomial expressions were selected as the best. It was demonstrated how these expressions could be incorporated into the Cumulative Cost Model to identify the optimal economic decisions.