TY - GEN
T1 - Mixed Reality (MR)-assisted Spatial Logistics Facility Layout Design
AU - Chong, W. W.
AU - Lee, C. K.M.
AU - Tsang, Y. P.
AU - Au, Y. S.
N1 - Publisher Copyright:
© 2023, The Hong Kong Polytechnic University. All rights reserved.
PY - 2023/7
Y1 - 2023/7
N2 - With the recent advances of digital transformation, the development of logistics automation has been accelerated to further improve operational effectiveness and efficiency. In particular, the Automatic Storage & Retrieval System (AS/RS) has been widely explored to revamp inbound and outbound operations in logistics facilities. By doing so, space utilization can be further optimised, but not all warehouses are suitable and, as the initial investment is substantial, the long-term benefits must be comprehensively evaluated. This paper proposes an intelligent system that combines an evolutionary algorithm and mixed reality to optimize and visualize warehouse layout design. With the use of AS/RS, the system aims to improve the operational efficiency and space utilization of logistics facilities. The evolutionary algorithm (EA) optimizes the layout by minimizing the total traveling distance between functional areas, while the mixed reality (MR) component visualizes the AS/RS through a Microsoft HoloLens. This approach provides an immersive experience of the optimal layout design and enables the implementation of smart facility layout design with warehouse automation technologies.
AB - With the recent advances of digital transformation, the development of logistics automation has been accelerated to further improve operational effectiveness and efficiency. In particular, the Automatic Storage & Retrieval System (AS/RS) has been widely explored to revamp inbound and outbound operations in logistics facilities. By doing so, space utilization can be further optimised, but not all warehouses are suitable and, as the initial investment is substantial, the long-term benefits must be comprehensively evaluated. This paper proposes an intelligent system that combines an evolutionary algorithm and mixed reality to optimize and visualize warehouse layout design. With the use of AS/RS, the system aims to improve the operational efficiency and space utilization of logistics facilities. The evolutionary algorithm (EA) optimizes the layout by minimizing the total traveling distance between functional areas, while the mixed reality (MR) component visualizes the AS/RS through a Microsoft HoloLens. This approach provides an immersive experience of the optimal layout design and enables the implementation of smart facility layout design with warehouse automation technologies.
KW - Automatic Storage & Retrieval System (AS/RS)
KW - Evolutionary Algorithm (EA)
KW - Layout Design
KW - Mixed Reality
KW - Warehouse
UR - http://www.scopus.com/inward/record.url?scp=85190690221&partnerID=8YFLogxK
M3 - Conference article published in proceeding or book
AN - SCOPUS:85190690221
SN - 9789623678704
T3 - International Conference on Design and Semantics of Form and Movement
SP - e-copy
BT - International Conference on Design and Semantics of Form and Movement
A2 - Bruns, Miguel
A2 - Chen, Lin-Lin
A2 - Hu, Jun
A2 - Colombo, Sara
A2 - Lim, Yihyun
A2 - Kyffin, Steven
A2 - Vieira, Ozcan
A2 - Raijmakers, E. Jeroen
A2 - Rampino, Lucia
A2 - Ramirez, Edgar Rodriguez
A2 - Steffen, Dagmar Johanna
A2 - Wong, Calvin
PB - The Hong Kong Polytechnic University, Hong Kong
T2 - 12th International Conference on Design and Semantics of Form and Movement, DeSForM 2023
Y2 - 5 July 2023 through 7 July 2023
ER -