N Zoraghi - Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
A.A Najafi - Department of Industrial Engineering, K.N. Toosi University of Technology, Tehran, Iran
S.T.A Niaki - Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran

Resource constrained project scheduling problem (RCPSP) is mainly investigated with the objective of either minimizing project makespan or maximizing project net present value. However, when material planning plays a key role in a project, the existing models cannot help determining material orderingplans to minimize material costs. In this paper, the RCPSP incorporated with the material ordering problem is first formulated into a NP-hard optimization model. Then, two hybridized meta-heuristicalgorithms are proposed to solve the integrated problem. In addition, statistical methods are employedto tune the parameters of both algorithms. Finally, computational results for a set of test problems taken from the project scheduling problem library (PSPLIB) are presented

Project Scheduling , Material Ordering , Resource Constraint , Hybrid Meta-Heuristic Algorithm , Taguchi Design