Abstract
The effectiveness of a storage and retrieval system in cold warehouse is assessed based on operating cost. In this paper, the cost savings is consider base on the optimization two criteria: optimization of the travel distance and time consuming or in other words, focus on building the advantage algorithm to determining storage location and planning path. A warehouse layout is designed for 480 storage locations on 16 pallet racking, separated by 4 storage aisles and 1 pick aisle. The storage and retrieval of goods is carried out by 2 forklift trucks. The system will be deals with the problem of deadlocks and traffic jams. In order to solve this issue, each vehicle will be assigned different permissions for access to each storage location in the warehouse and the window time algorithm is applied to avoid conflicts between vehicles. On the other hand, Continuous Cluster Method will be used to decrease the travel time. The algorithm is compared to using a single vehicle for a similar storage space to see efficiency. The results show that the algorithm is optimized up to 30% compare with traditional policy.
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References
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Truong, N.C., Dang, T.G., Nguyen, D.A. (2020). Optimizing Automated Storage and Retrieval Algorithm in Cold Warehouse by Combining Dynamic Routing and Continuous Cluster Method. In: Zelinka, I., Brandstetter, P., Trong Dao, T., Hoang Duy, V., Kim, S. (eds) AETA 2018 - Recent Advances in Electrical Engineering and Related Sciences: Theory and Application. AETA 2018. Lecture Notes in Electrical Engineering, vol 554. Springer, Cham. https://doi.org/10.1007/978-3-030-14907-9_28
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DOI: https://doi.org/10.1007/978-3-030-14907-9_28
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