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Dr. Prashant Chintapalli is an Assistant Professor in the Management Science area. He holds a PhD from the UCLA Anderson School of Management and prior to joining the Ivey Business School Prashant held a full-time appointment in the Production and Operations Management area at the Indian Institute of Management, Bangalore, India.
Prashant’s research interests lie in analyzing operational issues faced by businesses and policymakers in emerging economies, with a special focus on food supply chains. The operational issues faced in such economies are often complicated with more stringent resource constraints and larger scale. Hence, it becomes imperative and relevant to design new policies and strategies that tackle these new challenges that occur in the context of emerging economies.
His current research is primarily on social responsibility issues in supply chains, with an objective to design policies and make decisions that can result in Pareto improvement of stakeholders involved. He develops stylized models to analyze the strategic interactions of various players in supply chains to draw managerial insights. Apart from social responsibility, Prashant’s research interests also span across broader topics like capacity & inventory management, sourcing, and pricing. He actively publishes in peer-reviewed journals like Management Science, Manufacturing and Service Operations Management, Production and Operations Management, European Journal of Operational Research, Journal of the Operational Research Society, Annals of OR, and Naval Research Logistics. He is also a recipient of prestigious awards like the "Emerging Economies Doctoral Student Award" (awarded by Production & Operations Management Society), the "Early Career Impact Award 2023" (Ivey Business School, UWO), the "Ivey Research Merit Award 2023" (Ivey Business School, UWO), and the "Emerging Economies Research Showcase Best Paper Award 2023" (awarded by Decision Sciences Institute), along with other grants.
Prashant’s teaching interests involve courses on supply chain and operational analytics, business analytics, financial analytics, operations and supply chain management, probability and stochastic processes, optimization and operations research, dynamic programming, and game theory.
Prashant’s research interests lie in analyzing operational issues faced by businesses and policymakers in emerging economies, with a special focus on food supply chains. The operational issues faced in such economies are often complicated with more stringent resource constraints and larger scale. Hence, it becomes imperative and relevant to design new policies and strategies that tackle these new challenges that occur in the context of emerging economies.
His current research is primarily on social responsibility issues in supply chains, with an objective to design policies and make decisions that can result in Pareto improvement of stakeholders involved. He develops stylized models to analyze the strategic interactions of various players in supply chains to draw managerial insights. Apart from social responsibility, Prashant’s research interests also span across broader topics like capacity & inventory management, sourcing, and pricing. He actively publishes in peer-reviewed journals like Management Science, Manufacturing and Service Operations Management, Production and Operations Management, European Journal of Operational Research, Journal of the Operational Research Society, Annals of OR, and Naval Research Logistics. He is also a recipient of prestigious awards like the "Emerging Economies Doctoral Student Award" (awarded by Production & Operations Management Society), the "Early Career Impact Award 2023" (Ivey Business School, UWO), the "Ivey Research Merit Award 2023" (Ivey Business School, UWO), and the "Emerging Economies Research Showcase Best Paper Award 2023" (awarded by Decision Sciences Institute), along with other grants.
Prashant’s teaching interests involve courses on supply chain and operational analytics, business analytics, financial analytics, operations and supply chain management, probability and stochastic processes, optimization and operations research, dynamic programming, and game theory.