The prediction of NICU admission and identifying influential factors in four different categories leveraging machine learning approaches von Tashakkori, Reza, Mozdgir, Ashkan, Karimi, Atena, BozorgzadehVostaKolaei, Shabnam

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Food supply chain network design under uncertainty and pandemic disruption von Shekarabi, Hanieh, Vali-Siar, Mohammad Mahdi, Mozdgir, Ashkan

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Using the Taguchi method to optimize the differential evolution algorithm parameters for minimizing the workload smoothness index in simple assembly line balancing von Mozdgir, Ashkan, Mahdavi, Iraj, Badeleh, Iman Seyedi, Solimanpur, Maghsud

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A reliability/availability approach to joint production and maintenance scheduling with multiple preventive maintenance services von Mokhtari, Hadi, Mozdgir, Ashkan, Kamal Abadi, Isa Nakhai

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A Bi-Objective Approach to an Assembly Line Re-Balancing Problem: Model and Differential Evolution Algorithms von Hadi Mokhtari, Ashkan Mozdgir

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Heuristics for an assembly flow-shop with non-identical assembly machines and sequence dependent setup times to minimize sum of holding and delay costs von Navaei, Javad, Fatemi Ghomi, Seyyed Mohammad Taghi, Jolai, Fariborz, Mozdgir, Ashkan

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Project time–cost trade-off scheduling: a hybrid optimization approach von Mokhtari, Hadi, Aghaie, Abdollah, Rahimi, Javad, Mozdgir, Ashkan

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Heuristics for an assembly flow-shop with non-identical assembly machines and sequence dependent setup times to minimize sum of holding and delay costs von Navaei, Javad, Ghomi, Seyyed Mohammad Taghi Fatemi, Jolai, Fariborz, Mozdgir, Ashkan

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