BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Drupal iCal API//EN X-WR-CALNAME:Events items teaser X-WR-TIMEZONE:America/Toronto BEGIN:VTIMEZONE TZID:America/Toronto X-LIC-LOCATION:America/Toronto BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:20170312T070000 END:DAYLIGHT BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:20171105T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT UID:682b679682f09 DTSTART;TZID=America/Toronto:20171122T153000 SEQUENCE:0 TRANSP:TRANSPARENT DTEND;TZID=America/Toronto:20171122T153000 URL:/management-science-engineering/events/masc-thesis- seminar-paulo-carvalho-data-driven-optimization SUMMARY:MASc Thesis Seminar | Paulo De Carvalho: \"A data-driven optimizati on\napproach for mixed-case palletization and three dimensional bin\npacki ng\" CLASS:PUBLIC DESCRIPTION:Summary \n\nPallets are the most common form of packaging in th e retail industry.\nTheir building involves the solution of a three-dimens ional packing\nproblem with side practical constraints such as item suppor t and\npallet stability\, leading to what is known as the mixed-case\npall etization problem. Motivated by the fact that solving\nindustry-size insta nces is still very challenging for current methods\,\nwe propose a new sol ution methodology that combines data analysis at\nthe instance level and o ptimization to build pallets.\n DTSTAMP:20250519T171710Z END:VEVENT END:VCALENDAR