Assistant Professor Jennifer Pazour and Ph.D. Candidate Faraz Ramtin’s research was highlighted in the August 2014 Industrial Engineering Magazine. Their research investigates a case-level order-fulfillment technology that is commonly used in cold logistics environments. They develop models for automated storage and retrieval systems with multiple in-the-aisle pick positions that estimate the average travel times for different design configurations and operating policies.
Ramtin, Faraz, and Pazour, Jennifer A., “Analytical Models for an Automated Storage and Retrieval System with Multiple in-the-Aisle Pick Positions.” IIE Transactions, 46, 968-986 (2014).