A mechanism for scheduling multi robot intelligent warehouse system face with dynamic demand

Zhi Li, Ali Vatankhah Barenji, Jiazhi Jiang, Ray Y. Zhong () and Gangyan Xu
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Zhi Li: Guangdong University of Technology
Ali Vatankhah Barenji: Guangdong University of Technology
Jiazhi Jiang: Guangdong University of Technology
Ray Y. Zhong: The University of Hong Kong
Gangyan Xu: Nanyang Technological University

Journal of Intelligent Manufacturing, 2020, vol. 31, issue 2, No 14, 469-480

Abstract: Abstract Given the evolutionary journey of E-commerce, there have been emerging challenges confronting warehouse logistics, including smaller shipping units, more varieties and batches, and shorter cycles. These challenges are difficult to cope when using conventional scheduling with the robotic approach. Currently, automated storage and retrieval system are becoming preferred for warehouse companies with the help of mobile robots. However, when many orders are received simultaneously, the existing scheduling approach might make unreasonable decisions, leading to delayed packaging of entire orders and reducing the performance of the warehouse. Therefore, this paper addresses this problem and proposes a novel scheduling mechanism for multi-robot and tasks allocation problems which may arise in an intelligent warehouse system. This mechanism proposes into the intelligent warehouse troubled with simultaneous multiple customer demands. The mathematical model for the system is developed by considering a multitask robot facing dynamic customer demand. The proposed model’s approach is based on the particle swarm optimization heuristic. The result for this approach then compared with the genetic algorithm (GA). The simulation results demonstrate that the proposed solution is far superior to that of the GA for multi-robot scheduling and tasks allocation problems in the intelligent warehouse.

Keywords: Intelligent warehousing system; Multi-robot; Scheduling; Synchronized (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (6)

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DOI: 10.1007/s10845-018-1459-y

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