A Novel Scattered Storage Policy Considering Commodity Classification and Correlation in Robotic Mobile Fulfillment Systems

Ma, Zhongqiang; Wu, Guohua; Ji, Bin; Wang, Ling; Luo, Qizhang; Chen, Xinjiang

doi:10.1109/tase.2022.3178934

Cited by 11 publications

(19 citation statements)

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“…Few studies have examined the effect of the number of storage locations to be visited in picking operations in non-traditional layout warehouses on the selection of routing strategies. Therefore, in this paper: (1) The leaf layout design is selected to enrich the theoretical basis for its practical application. (2) In the leaf layout warehouse, the travel distance models of three routing strategies, the S-shape, the return, and the composite, are constructed, and their performances are compared to meet the research needs of routing strategies in the non-traditional warehouse.…”

Section: Research Gaps and Noveltiesmentioning

confidence: 99%

“…Firstly, solve d 01 and d n0 and set the coordinates of the first location to be visited and the nth location to be visited as (s 1 , x 1 , y 1 , z 1 ) and (s n , x n , y n , z n ), respectively. Assuming that the coordinates of any location to be visited are (s i , x i , y i , z i ), the distance d 0i from the I/O point to (s i , x i , y i , z i ) can be divided into four parts: 1 d 0i (1) is the walking distance from the I/O point to the diagonal cross-aisle or the front aisle; 2 d 0i (2) is the walking distance in the diagonal cross-aisle or front aisle; 3 d 0i (3) is the walking distance from the diagonal cross-aisle or front aisle to the picking aisle to be visited; 4 d 0i (4) is the walking distance in the picking aisle to be visited. Namely:…”

Section: Problem Descriptionmentioning

confidence: 99%

“…Based on the numerical experiments and comparative analysis of the results of the three strategies, our findings were mainly: (1) The cuckoo search algorithm can effectively achieve the optimization and calculation of the picking route in the leaf layout warehouse.…”

Section: Theoretical Contributionsmentioning

confidence: 99%

“…With the arrival of the "digital transformation era", e-commerce has been able to develop rapidly, and customers' demands for the efficiency of order item delivery have gradually increased [1]. Warehousing is the key to the efficiency of the supply chain [2], and the order picking operation is the main factor affecting the operational efficiency of warehouse distribution centers [3,4].…”

Section: Introductionmentioning

confidence: 99%

“…It is the same as the S-shape strategy when i is even and d ij is the same as in Equation ( 26); • It is the same as the S-shape strategy when i is odd and d ij is the same as in Equation ( 31); • Via the left aisle, visit the picking aisle x 1 in area S 2 , the diagonal cross-aisle, and from the diagonal cross-aisle to the picking aisle x j to complete the picking operation on the location j. 1) . ( 38)…”

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Performance Analysis of Picking Routing Strategies in the Leaf Layout Warehouse

et al. 2022

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The routing strategy for order picking is an important factor in the efficiency of warehouse picking, and improvements to the warehouse layout provide more routing options for picking. The number of storage locations to be visited during the picking operation also has an impact on the selection of routing strategies. In order to achieve an effective improvement in the efficiency of picking operations in warehouse distribution centers, this paper focuses on the leaf warehouse layout based on the previous single-command operation strategy and extends it to study the multi-command operation strategy, in which three heuristic routing strategies, the S-shape, the return, and the composite, are introduced to solve the walking distance problem of picking operations, with the study of the selection of the routing strategy for different numbers of storage locations to be visited. Based on the distance equation between any two storage locations to be visited in the leaf layout warehouse, travel distance models corresponding to the three routing strategies in the picking operation are constructed, and the cuckoo search algorithm is introduced to solve and calculate the travel distance of the composite strategies for the experiments. In addition, the computational experiments of the three path strategies are carried out according to the different numbers of storage locations to be visited in the picking operation. By analyzing the numerical results, we find that the composite strategy has the best overall results among the three routing strategies, with the average values of optimization rates exceeding 30% (the S-shape) and 40% (the return), respectively. At the same time, the return strategy outperforms the S-shape strategy when the number of locations to be visited is less than seven. As the number of locations to be visited increases, the S-shape strategy gradually outperforms the return strategy. From a managerial and practical perspective, compared to the single-command operation strategy that is the focus of the current research, the multi-command operation strategy we studied is more relevant to the actual situation of order merging picking in warehouses and can effectively improve the efficiency of picking operations, the competitiveness of enterprises, and customer satisfaction of e-commerce enterprises.

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Section: Research Gaps and Noveltiesmentioning

confidence: 99%