Rate My Professor Amir Hossein Ansaripoor

Ansaripoor's research specializations include supply chain management, risk management, sustainability, operations research, business analytics, optimization, stochastic optimization, mathematical programming, simulation, logistics, and operations management. His publications appear in leading journals and address topics like closed-loop supply chains, green supply chains, agricultural routing planning, blockchain traceability, and resilient service design. Notable publications are 'De-risking Fleet Replacement Decisions' (2017), 'Closed-loop supply chains with complementary products' (2020), 'Closed-loop supply chain models with coopetition options' (2021, International Journal of Production Research), 'Coordination mechanisms in a two-stage green supply chain: analyzing the impact of transportation decisions on environment' (2021), 'Optimisation of agricultural routing planning in field logistics with Evolutionary Hybrid Neighbourhood Search' (2019, Biosystems Engineering), 'Traceability vs. sustainability in supply chains: The implications of blockchain' (2022), 'Evolutionary neighborhood discovery algorithm for agricultural routing planning in multiple fields' (2022), 'Non-identical parallel machines batch processing problem with release dates, due dates and variable maintenance activity to minimize total tardiness' (2022, Computers & Industrial Engineering), and 'A Decision Support Framework for Resilient and Sustainable Service Design' (2024). He contributed to the edited volume 'Supply Chain Risk and Disruption Management: Latest Tools, Techniques and Management Approaches' (2023). With more than 770 citations on Google Scholar, his work influences advancements in operations and supply chain fields. Ansaripoor teaches courses including MGMT3017 Supply Chain Capstone: Strategic Logistics & Operations Management and MGMT3018 Operations and Materials Management.