en Production Planning & Control Production Planning & Control پژوهشي Research <div style="text-align: justify;"><span style="font-size:11pt"><span style="line-height:150%"><span style="unicode-bidi:embed"><span style="font-family:Calibri,sans-serif"><span new="" roman="" style="font-family:" times="">In the field of scheduling and sequence of operations, one of the common assumptions is the availability of machines and workers on the planning horizon.</span> <span new="" roman="" style="font-family:" times="">In the real world, a machine may be temporarily unavailable for a variety of reasons, including maintenance activities, </span><span style="font-size:12.0pt"><span style="line-height:150%"><span new="" roman="" style="font-family:" times="">and the full capacity of human resources cannot be used due to their limited number and/or different skill levels</span></span></span><span new="" roman="" style="font-family:" times="">.</span> <span new="" roman="" style="font-family:" times="">Therefore, this paper examines the Dual Resource Constrained Flexible Job Shop Scheduling Problem (DRCFJSP) considering the limit of preventive maintenance (PM).</span> <span new="" roman="" style="font-family:" times="">Due to various variables and constraints, the goal is to minimize the maximum completion time. In this regard, Mixed Integer Linear Programming (MILP) model is presented for the mentioned problem.</span> <span new="" roman="" style="font-family:" times="">To evaluate and validate the presented mathematical model, several small and medium-sized problems are randomly generated and solved using CPLEX solver in GAMS software. Because the solving of this problem on a large scale is complex and time-consuming, two metaheuristic algorithms called Genetic Algorithm (GA) and Vibration Damping Optimization Algorithm (VDO) are used.</span> <span new="" roman="" style="font-family:" times="">The computational results show that GAMS software can solve small problems in an acceptable time and achieve an accurate answer, and also meta-heuristic algorithms can reach appropriate answers.</span> <span new="" roman="" style="font-family:" times="">The efficiency of the two proposed algorithms is also compared in terms of computational time and the value obtained for the objective function.</span></span></span></span></span></div> Flexible job-shop scheduling,Dual resource constraint,Preventive maintenance,Genetic algorithm,Vibration damping optimization algorithm. 1 20 http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-816-3&slc_lang=en&sid=1 Amir Nayeb amir.nayeb@yahoo.com 1800319475328460011705 1800319475328460011705 No Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran Esmaeil Mehdizadeh es.mehdizadeh@iau.ac.ir 1800319475328460011706 1800319475328460011706 Yes Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran Seyed Habib A. Rahmati Sd_rahmati@qiau.ac.ir 1800319475328460011707 1800319475328460011707 No Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran