Work

Utilizing Microsoft Project for Resource Planning and Optimization in Mid-Rise Residential Construction in Udaipur

Year: 2025
Type: article
Abstract: Resource optimization is a pivotal aspect of construction project management that directly impacts project timelines, costs, and overall efficiency. This research paper focuses on the application of Microsoft Project (MSP) software as a tool for optimizing resources in the construction of G+3 (Ground plus three floors) residential buildings. The study involves developing a comprehensive Work Breakdown Structure (WBS) that encompasses all critical construction activities such as site preparation, excavation, foundation laying, reinforced concrete works, masonry, plastering, electrical and plumbing installations, and finishing works. By accurately defining and assigning labor, equipment, and material resources within MSP, the study simulates realistic scheduling scenarios that address resource availability constraints and inter-task dependencies. MSP’s resource leveling and smoothing techniques are employed to resolve conflicts arising from resource over-allocation, thereby reducing idle times and preventing bottlenecks without extending the overall project duration. Through a detailed case study of a G+3 building construction project, the research demonstrates significant improvements in resource utilization efficiency, project duration reduction, and cost savings. The paper further discusses challenges such as the need for precise input data and dynamic site conditions that may necessitate frequent schedule updates. Ultimately, this study establishes Microsoft Project as a robust and practical platform for resource planning and optimization in mid-rise building projects, offering valuable insights for construction managers aiming to enhance productivity and control costs.
Authors: Mr. Birendra Kumar Yadav, Mr. Paras Kumar, Mr. Azharuddin
Institution: Mewar University
Language: English
Open Access status: diamond
OpenAlex ID: W4411731485
FWCI:
Cites: 2
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Related to: 10