TY - GEN
T1 - Flexible cell formation and scheduling of robotics coordinated dynamic cellular manufacturing system
T2 - 3rd International Conference on Robotics and Automation in Industry, ICRAI 2019
AU - Saboor, Abdul
AU - Imran, Muhammad
AU - Agha, Mujtaba Hassan
AU - Ahmed, Waqas
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2020/1/28
Y1 - 2020/1/28
N2 - This article introduces the concept of cell formation and scheduling in robotics coordinated Dynamic Cellular Manufacturing System (DCMS) for industry 4.0. Automated reconfigurability and flexibility in cellular Manufacturing are based on variations in product demands, deletion or addition of products and varying product mix. To design DCMS for Industry 4.0, this article proposes a conceptual model for an automated production environment in which no human factor involves receiving an order to its delivery. Computer Embedded System will analyze data from the manufacturing environment and make smart decisions to accept and complete the orders. The position and movement of all components will be signaled from the central ERP system. Cell formation will be automated by using Multi-Function Robotics with self-transportation capabilities and Advanced Automatic Guided Vehicles (AGV) will be reconfigured and reschedule, whenever the new model added. Cell reformulation will provide a foundation for parts rescheduling. So, the DCMS will improve responsiveness with higher quality and lower cost.
AB - This article introduces the concept of cell formation and scheduling in robotics coordinated Dynamic Cellular Manufacturing System (DCMS) for industry 4.0. Automated reconfigurability and flexibility in cellular Manufacturing are based on variations in product demands, deletion or addition of products and varying product mix. To design DCMS for Industry 4.0, this article proposes a conceptual model for an automated production environment in which no human factor involves receiving an order to its delivery. Computer Embedded System will analyze data from the manufacturing environment and make smart decisions to accept and complete the orders. The position and movement of all components will be signaled from the central ERP system. Cell formation will be automated by using Multi-Function Robotics with self-transportation capabilities and Advanced Automatic Guided Vehicles (AGV) will be reconfigured and reschedule, whenever the new model added. Cell reformulation will provide a foundation for parts rescheduling. So, the DCMS will improve responsiveness with higher quality and lower cost.
KW - Automation
KW - Cell Formation
KW - Cellular Layout
KW - Cellular Manufacturing System
KW - Industry 4.0
KW - Robotics Integrated Cell
KW - Scheduling
UR - http://www.scopus.com/inward/record.url?scp=85079243090&partnerID=8YFLogxK
U2 - 10.1109/ICRAI47710.2019.8967369
DO - 10.1109/ICRAI47710.2019.8967369
M3 - Conference contribution
AN - SCOPUS:85079243090
T3 - 2019 International Conference on Robotics and Automation in Industry, ICRAI 2019
BT - 2019 International Conference on Robotics and Automation in Industry, ICRAI 2019
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 21 October 2019 through 22 October 2019
ER -