Evaluation of Microsoft Project and Supply Chain Model for Effective Resource Optimization in Multiple Project Management

Authors

Taofeek Ishola Atunde Department of Civil Engineering, Edo State University Iyamoh, Edo Nigeria
Wasiu John Department of Civil Engineering, Faculty of Engineering, Edo State University Iyahmo, Edo State, Nigeria
Abdulrazaq Olayinka Ibrahim Department of Civil Engineering, Faculty of Engineering, Edo State University Iyahmo, Edo State, Nigeria
Oluwaseun Adetayo Department of Civil Engineering, Federal University Oye, Ekiti, Ekiti State, Nigeria
Adewale Saheed Onadeko Department of Civil Engineering, Faculty of Engineering, Edo State University Iyahmo, Edo State, Nigeria

Keywords:

Microsoft Project (MSP), Supply Chain Model, Resource Optimization, Multi-Project Management, ERP, AI Integration

Abstract

This research evaluates the integration of Microsoft Project (MSP)
with supply chain models (SCM) to optimize multi-project resource
allocation. MSP provides scheduling, while systems like Dynamics
365 enhance inventory, material, and workforce coordination.
Experimental simulations across over 20 infrastructure, residential,
and manufacturing scenarios demonstrated significant benefits. In
mega-infrastructure projects, the integrated system yielded a 30%
efficiency improvement, 25% fewer delays, and 12% cost savings.
Residential productivity increased by 22%, and manufacturing
profit margins rose by 5.3%, aided by advanced ERP and AI
analytics. However, challenges like data silos and interoperability
were noted. The study concludes that while integration improves
coordination, leveraging AI and IoT is essential for managing future
uncertainties in scheduling and supply chains. It also highlights the
need for industrial frameworks to guide digital integration, with
specific civil engineering contexts like heavy machinery shaping its
application.

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