Efficient project execution increasingly depends on the synchronized management of human skills and material resources, particularly in complex and dynamic industrial environments. In this paper, a multi-skilled resource-constrained project scheduling problem (MSRCPSP) is presented, which integrates activity scheduling, workforce utilization, equipment logistics, and material ordering within a construction project. A mixed-integer programming (MIP) model is developed for optimizing project completion time, considering both renewable and non-renewable resources. This paper demonstrates the interaction among the allocation of a multi-skilled workforce, equipment limitations, materials ordering and scheduling of projects activities. The optimal project schedule is determined, and a sensitivity analysis is conducted to assess the impact of variations in key parameters on the project completion time. The findings serve to illustrate the trade-offs among resource allocation, cost optimization, and schedule adherence. The work contributes to the growing body of research on integrated project scheduling and material ordering by combining various types of resources, cost elements, and financial considerations into a single optimization model.