BEGIN:VCALENDAR VERSION:2.0 PRODID:researchseminars.org CALSCALE:GREGORIAN X-WR-CALNAME:researchseminars.org BEGIN:VEVENT SUMMARY:Gohram Baloch (Simon Fraser University) DTSTART:20230316T223000Z DTEND:20230316T233000Z DTSTAMP:20260513T192730Z UID:SFUOR/13 DESCRIPTION:Title: D ata-driven Approach to Optimal Ordering batching Problem in Warehouse Mana gement\nby Gohram Baloch (Simon Fraser University) as part of PIMS-COR DS SFU Operations Research Seminar\n\nLecture held in ASB 10908.\n\nAbstra ct\nIn this work\, we focus on the picking process in warehouse management and study it from a data perspective. Using historical data from an indus trial partner\, we introduce\, model\, and study the robust order batching problem (ROBP) that groups orders into batches to minimize total order pr ocessing time accounting for uncertainty caused by system congestion and h uman behavior. We provide a generalizable\, data-driven approach that over comes warehouse-specific assumptions characterizing most of the work in th e literature. We analyze historical data to understand the processes in th e warehouse\, to predict processing times\, and to improve order processin g. We introduce the ROBP and develop an efficient learning-based branch-an d-price algorithm based on simultaneous column and row generation\, embedd ed with alternative prediction models such as linear regression and random forest that predict processing time of a batch. We conduct extensive comp utational experiments to test the performance of the proposed approach and to derive managerial insights based on real data.\n LOCATION:https://researchseminars.org/talk/SFUOR/13/ END:VEVENT END:VCALENDAR