تاريخ مجلس الدراسات العليا

2016-01-17

اسم الطالب

قصي عبدالرضا كريم الجبوري

ملخص الرسالة

The procurement of industrial projects equipment is essential and crucial task that needs to be given utmost care and attention of all involved parties. The purchased equipment will impact the plant technical and commercial conditions either positively or negatively for years to come. Accordingly constructing a supplier selection model for procuring industrial project equipment considered an important endeavor. The thesis's main objective is to establish supplier selection model (SSM) for procuring industrial projects equipment. The selected case study is constructing 48 Metric Ton per Day (MTPD) chlorine alkali plant. The equipment of the plant are classified into two groups (A and B) according to its usage importance and manufacturing requirements. Lists of these groups embedded in a constructive interview that established to rate the importance of suggested criteria and sub-criteria by 12 respondents, whom chosen from different companies in Iraq, Jordan and United Kingdom. The same interviewed persons requested to perform pair-wise comparisons that defined the relative weights of criteria and sub-criteria. A supplier selection models constructed utilizing Excel Spreadsheets and MATLAB software for each group of equipment. Two methods, geometric mean GM and Eigenvalue EM are used to calculate relative weights of criteria and sub-criteria, each method applied with balanced and Saaty scales. A system for managing project procurement utilizing Primavera software is presented, in which all procurement activities, starting from issuing the purchase order to the arrival of equipment on project site are identified. Microsoft Access application is suggested to assist the procurement personnel in performing project purchase orders. The analysis of the results emphasized the need for the proposed SSM to be used in procuring industrial project equipment through including important factors that is not considered in traditional purchasing methods.