Mohammed Shurrab

Repetitive Project Modelling With Penalty and Incentive

Repetitive construction activities have the same activities which are performed repeatedly. Repetitive projects include: pipelines, highways, and multi-story buildings. Repetitive projects have been modelled widely using the traditional network techniques although, they have some disadvantages. Furthermore, different approached have been developed for repetitive activities including the graphical and analytical techniques. The objective of this research is to add new enhancements on an approach called Repetitive Project Model (RPM) which is related to the repetitive construction projects. The enhancements incorporating the incentives and penalties within the RPM. This model incorporates a network technique, a graphical technique, and an analytical technique. A numerical example was demonstrated in this research paper to aid on using the suggested model in the real-life application.

Buffer Sizing Methods to Compare Critical Chain Project Management with Critical Path

Critical Chain Project Management CCPM provided a tangible progress to the Project Management Body of Knowledge. The critical chain project management CCPM differs from the traditional Critical Path Method CPM which includes never changing resource dependencies. CCPM improves the project plan by aggregating uncertainty into buffers at the end of activity paths. In this research, one hundred twenty random projects were generated and analyzed using Microsoft Project software according to the traditional CPM and the CCPM once using the sum of squares SSQ method and another using the cut & past C&PM method. CCPM-SSQ method revealed an average savings of 13% and 43% in duration and cost, with a standard deviation of 21 and 11 for duration and cost respectively. While the CCPM-C&PM method revealed an average overestimation of about 2% in duration and 43% savings in cost, with a standard deviation of 25 and 11 for duration and cost respectively.

Utilizing six sigma to improve the processing time: a simulation study at an emergency department

Abstract Waiting time (WT) at the emergency department (ED) is a global concern, emerging evidence indicates that a wait for care delivery may result in adverse patient outcomes. Discrete-event simulation model has been developed to redesign the existing ED based upon several inputs (i.e. historical data, staff survey, and interviews). Furthermore, a newly developed simulation model was proposed, verified, and validated using triaged management system based upon Manchester triage system. The simulation study was performed as a part of design for six sigma project to create the proposed triage process. The proposed model resulted in reducing WT by 61% and length of stay (LOS) by 34%. In return, the sigma level was improved from 0.66 to 5.18 and from 0.58 to 3.09 for WT and LOS, respectively.