Kamran S. Moghaddam

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This paper presents mathematical models and a solution approach to determine the optimal preventive maintenance schedules for a repairable and maintainable series system of components with an increasing rate of occurrence of failure (ROCOF). The maintenance planning horizon has been divided into discrete and equally-sized periods and in each period, three(More)
In this research, we develop a fuzzy multi-objective mathematical model to identify and rank the candidate suppliers and find the optimal number of new and refurbished parts and final products in a reverse logistics network configuration. This modeling approach captures the inherent uncertainty in customers' demand, suppliers' capacity, and percentage of(More)
Supplier selection is an important strategic design decision in closed-loop supply chain systems. In addition and after identifying the candidate suppliers optimal order allocations are also considered as crucial tactical decisions. This research develops a multi-objective optimization model to select the best suppliers, production and refurbishing(More)
Millions of people have been infected and died as results of influenza pandemics in human history. In order to prepare for these disasters, it is important to know how the disease spreads. Further, intervention strategies should be implemented during the pandemics to mitigate their ill effects. Knowledge of how these interventions will affect the pandemic(More)
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