BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Australia/Sydney BEGIN:DAYLIGHT DTSTART:20211003T030000 TZOFFSETFROM:+1000 TZOFFSETTO:+1100 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=10 TZNAME:AEDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20220403T020000 TZOFFSETFROM:+1100 TZOFFSETTO:+1000 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=4 TZNAME:AEST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20220316T003644Z UID:EC5DD4FA-20D8-4F96-9074-3B99CD7334AA DTSTART;TZID=Australia/Sydney:20220307T140000 DTEND;TZID=Australia/Sydney:20220307T150000 DESCRIPTION:The 4th industrial revolution is making on-demand manufacturing a reality\, which can offer many advantages. However\, such anticipated a dvantages rely on advanced modelling\, optimization and real-time implemen tation techniques to handle highly dynamic user requirements and operation al environment. In this talk\, we address the problem of resilient resourc e management for a typical multi-process manufacturing system\, which cons ists of several parallel production processes. Each process has its own re sources such as machines\, AGVs\, conveyors and storages\, and production orders from customers with relevant pre-computed production schedules. Due to either changes of production orders or component faults\, frequently s ome process may be interrupted. To ensure continuous operations\, the curr ent practice typically relies on a large number of standby components\, re sulting in low resource utilization. To ensure fast responsiveness to syst em changes with low costs\, we propose a novel resource sharing strategy t hat real-time analyzes the resource demand in a target process\, and resou rce flexibilities in other processes\, and dynamically assign and schedule flexible resources to the target process to minimize the negative impact of resource scarcity to assigned production jobs\, while ensuring jobs in other processes not being affected. A general mixed integer linear program ming (MILP) formulation is adopted to capture resource needs and flexibili ty\, and a real-time responsive coordinator is designed to ensure fast res ource matching and task re-scheduling in relevant processes. The developed strategy is applied to a simulated manufacturing system with multiple fau lt scenarios\, and the experimental results show the promising potential o f our strategy in improving job completion rate\, increasing resource util ization and achieving load balance.\n\nZoom Meeting Details:\n\nTime: Mar 7\, 2022\, 02:00 PM Canberra\, Melbourne\, Sydney\nJoin from a PC\, Mac\, iPad\, iPhone or Android device:\nPlease click this URL to start or join: https://macquarie.zoom.us/j/87236290542\n\nJoin from dial-in phone line:\n Dial: +61 2 8015 2088\nMeeting ID: 872 3629 0542\nInternational numbers av ailable: https://macquarie.zoom.us/u/kexUcOsF7Q\n\nJoin from a H.323/SIP r oom system:\nDial: SIP:87236290542@zmau.us\nor 103.122.166.55\nMeeting ID: 872 3629 0542\n\nSpeaker(s): Rong Su\, \n\nSydney\, New South Wales\, Aus tralia\, Virtual: https://events.vtools.ieee.org/m/301433 LOCATION:Sydney\, New South Wales\, Australia\, Virtual: https://events.vto ols.ieee.org/m/301433 ORGANIZER:budhadityamajumdar@gmail.com SEQUENCE:12 SUMMARY:IEEE NSW QLD DL: Resilient Resource Management in Multi-Process Man ufacturing Systems URL;VALUE=URI:https://events.vtools.ieee.org/m/301433 X-ALT-DESC:Description: <br /><p><strong>&nbsp\;</strong>The 4th industrial revolution is making on-demand manufacturing a reality\, which can offer many advantages. However\, such anticipated advantages rely on advanced mo delling\, optimization and real-time implementation techniques to handle h ighly dynamic user requirements and operational environment. In this talk\ , we address the problem of resilient resource management for a typical mu lti-process manufacturing system\, which consists of several parallel prod uction processes. Each process has its own resources such as machines\, AG Vs\, conveyors and storages\, and production orders from customers with re levant pre-computed production schedules. Due to either changes of product ion orders or component faults\, frequently some process may be interrupte d. To ensure continuous operations\, the current practice typically relies on a large number of standby components\, resulting in low resource utili zation. To ensure fast responsiveness to system changes with low costs\, w e propose a novel resource sharing strategy that real-time analyzes the re source demand in a target process\, and resource flexibilities in other pr ocesses\, and dynamically assign and schedule flexible resources to the ta rget process to minimize the negative impact of resource scarcity to assig ned production jobs\, while ensuring jobs in other processes not being aff ected. A general mixed integer linear programming (MILP) formulation is ad opted to capture resource needs and flexibility\, and a real-time responsi ve coordinator is designed to ensure fast resource matching and task re-sc heduling in relevant processes. The developed strategy is applied to a sim ulated manufacturing system with multiple fault scenarios\, and the experi mental results show the promising potential of our strategy in improving j ob completion rate\, increasing resource utilization and achieving load ba lance.<br /><br />Zoom Meeting Details:</p>\n<p>Time: Mar 7\, 2022\, 02:00 PM Canberra\, Melbourne\, Sydney&nbsp\;<br />Join from a PC\, Mac\, iPad\ , iPhone or Android device:&nbsp\;<br />&nbsp\; &nbsp\; Please click this URL to start or join: https://macquarie.zoom.us/j/87236290542<br />&nbsp\; <br />Join from dial-in phone line:&nbsp\;<br />&nbsp\; &nbsp\; Dial: +61 2 8015 2088<br />&nbsp\; &nbsp\; Meeting ID: 872 3629 0542&nbsp\;<br />&nb sp\; &nbsp\; International numbers available: https://macquarie.zoom.us/u/ kexUcOsF7Q&nbsp\;</p>\n<p>Join from a H.323/SIP room system:&nbsp\;<br />& nbsp\; &nbsp\; Dial: SIP:87236290542@zmau.us<br />&nbsp\; &nbsp\; or 103.1 22.166.55<br />&nbsp\; &nbsp\; Meeting ID: 872 3629 0542</p> END:VEVENT END:VCALENDAR