As the scheduling problems have become more complicated and the optimized solution cannot be achieved within a reasonable time, the studies on scheduling have shifted to applying heuristic algorithms. It consists of master production scheduling, material requirement planning and shop floor scheduling. Obviously, in order to implement Just-In-Time methodology to the delivery of precast elements, a proper production planning need to be considered. Moreover, as buildings are taller, larger, and more complex, it has become increasingly more difficult to secure stockyards for materials and to resolve the surrounding traffic problems, creating an increased need for Just-In-Time (JIT) delivery. DfMA techniques influence positively also on the time and cost savings reported as 66% and 65% in American projects. In order to utilize construction schedule, cost, workforce safety and quality, Design for Manufacturing and Assembly (DfMA) have been introduced. A continuous need for prefabrication around the world is still observed, but the need is ever changing with the time and new technologies. Due to the implementation of automation, reduction of waste, accurate planning, and resource utilization the precast concrete industry has the positive impact on the construction. Precast concrete manufacturing plants have demonstrated high production efficiency in the recent years. The results show that the PPTPM can successfully search for optimized production and delivery programmes. The performance of the proposed model is validated by a case study. The objective of this study is to enhance decision-making process by developing precast production and transportation planning model (PPTPM) based on nonlinear programming. It is necessary to develop a model supporting managerial decision-making in the field of planning production and transport strategies. The purpose of this optimization is to minimize the costs associated with the production and delivery of precast elements to construction sites. In addition, with limited production capacities of manufacturing plants and diversified construction sites temporary demand for the products, proper planning of production and supply strategies seems to be complicated. With increasingly complex projects and construction contracts involving the supply of various precast units to construction sites from many production plants, the optimization of both transport and production becomes an additional decision problem. The optimization of transport connections is a commonly occurring decisional problem in construction. Programming in precast production and transportation planningġ Canadian University of Technology / Engineering Department, Ontario, Canada