In construction industry project, Project Manager usually manages and executes multiple objectives simultaneously within their portfolio. This involves sharing of limited resources such as funds, equipment, work force, and others among different projects, which increases the complexity of the scheduling process. The allocation of scarce resources then becomes a major objective of the problem and several compromises should make to solve the problem to the desired level of optimality. In such cases, contractors are generally concerned with optimizing a number of different objectives, often conflicting among each other. Thus, the main objective of this research is to develop a multiple objective project-scheduling model under resource constraints. Objectives include time, cost, and resource balancing. The model aims to help project manager in devising schedules that obtain optimal/near optimal tradeoffs between different projectsâ€™ objectives, namely: duration of projects, total cost, and resource fluctuations. Moreover, the model offers the flexibility in selecting the desired set of objectives to optimize. Management model built in order to achieve the main objective, which involves the development of: (1) a scheduling model that establishes optimal/near optimal schedules for construction industry projects. Management models linked with the designed optimization model, which consequently performs operations of the elitist Multi-objective Genetic algorithm (MOGA) technique, in three main phases: (1) population initialization; (2) fitness evaluation; and (3) generation evolution. The optimization MMMOGA model tested using large scale of cement industry project presented to demonstrate the practicality and efficiency of the proposed model and optimization. Finally, an automated tool using C++ language programming built with a friendly graphical user interface to facilitate solving multi-objective scheduling optimization problems for project manager and practitioners.