en زنجیره تامین و لجستیک Logistic & Apply Chain پژوهشي Research <p>Nowadays, several methods in production management mainly focus on the different partners of supply chain management. In real world, the capacity of planes is limited. In addition, the recent decade has seen the rapid development of controlling the uncertainty in the production scheduling configurations along with proposing novel solution approaches. This paper proposes a new mathematical model via strong recent meta-heuristics planning. This study firstly develops and coordinates the integrated air transportation and production scheduling problem with time windows and due date time in Fuzzy environment to minimize the total cost. Since the problem is <em>NP</em>-<em>hard</em>, we use four meta-heuristics along with some new procedures and operators to solve the problem. The algorithms are divided into two groups: traditional and recent ones. Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) as traditional algorithms, also Keshtel Algorithm (KA) and Virus Colony Search (VCS) as the recent ones are utilized in this study. In addition, by using Taguchi experimental design, the algorithm parameters are tuned. Besides, to study the behavior of the algorithms, different problem sizes are generated and the results are compared and discussed.</p> Integrated capacitated air transportation and production scheduling, Time window, Fuzzy consideration, Keshtel algorithm, Virus colony search. 197 211 http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-929-1&slc_lang=en&sid=1 Amir Mohammad Fathollahi Fard amirfard@mazust.ac.ir 180031947532846005511 180031947532846005511 No University of Science and Technology of Mazandaran Mostafa Hajiaghaei-Keshteli mostafahaji@mazust.ac.ir 180031947532846005512 180031947532846005512 Yes University of Science and Technology of Mazandaran