Proactive Project Management Framework

Abstract

The characteristics of construction projects pose serious challenges in its management. Yet, the management is still largely traditional which is reactive in nature. Traditional management doesn’t match the challenges of complex nature of construction characteristics. This breeds suboptimal responses to flow inefficiencies in the management process. Construction projects therefore continue to present cases of failed objectives. Posited, is the need for proactive management approach as feasible way to attain the requisite success level in construction projects management. However, models that satisfactorily offer the proactive need are still on demand. This work is a prelude study to the development of a proactive management model. A framework developed herein will offer a guide for the development of a feasible proactive management model for construction projects. Three main components were first theorised and developed. These are (1) Management Best Practice Modules area set of twelve modules collated from literature and organised in a manner that can guide the project implementation process, (2) the Culpability Measurement Card classified impeding factors against project management successes and present a means to measure flow inefficiencies and the culpability of a stakeholder in an ongoing process. Lessons are learned, captured, processed and stored for reuse, and the data form basis for depicting trend in process flow direction. Finally (3) a Mathematical Model was developed using the incremental rate approach. The model can predict values of cost changes at chosen periods in an ongoing project. Synthesised these three theories together presents the desired flow chart framework. The model will effectively respond in a proactive manner to cost, time and quality challenges if key variables identified are attained and fed into the frame. Researchers are offered a framework to develop a proactive cost management model which also provokes interest for further research in a field that has been left underexploited for long. It is recommended that further research on this field be explored more vigorously especially along computer programming systems