{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T02:03:01Z","timestamp":1778032981348,"version":"3.51.4"},"reference-count":33,"publisher":"PeerJ","license":[{"start":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T00:00:00Z","timestamp":1705881600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Research on the Construction Path of Modern Logistics Management Industry-Education Integration","award":["GH-220471"],"award-info":[{"award-number":["GH-220471"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:p>The automated storage and retrieval system (AS\/RS) has been developed rapidly and has been widely used in various fields. To achieve the ultimate goal of improving the efficiency of warehouse operation, this article studies the problem of goods location- allocation on the premise of a comprehensive analysis of the efficiency of automated warehouses and the overall stability of shelves. The mathematical model is established. Traditional Tabu search algorithms depend on Tabu table construction to avoid multiple continuous cycles that may occur in the direct search process. In this article, the improved algorithm can directly search and store in the Tabu table to prevent the algorithm from infinite search. A complete solution in that Tabu list continues to be passed to act as a point solution to replace the iteratively update product until a set iteration interval of the product is completed. The machine learning system can get the optimal solution. The improved algorithm is applied to solve the model, and the running results and the performance of the algorithm itself are obtained. The improved Tabu Search algorithm has more advantages in the process of solving the model because it reduces the size of the whole problem. The algorithm also uses the penalty optimization function as a measure of each solution. The greater the penalty is, the worse the solution is, and the smaller the penalty is, the better the solution is. The operation process of the material in and out of the warehouse in one day is studied, and the validity of the optimization scheme of goods location allocation is verified by substituting specific data for the solution. Finally, the case of goods in and out of the warehouse is simulated by using simulation software, and the running state and efficiency of the stacker are displayed according to the data. The Tabu direct search table is combined with the structure and function of the principle of amnesty direct search to achieve the goal of direct search and decision-making. The equilibrium coefficient of its operation is calculated by using the data, which proves that the scheme is feasible and has practical significance and research value.<\/jats:p>","DOI":"10.7717\/peerj-cs.1809","type":"journal-article","created":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T08:03:38Z","timestamp":1705910618000},"page":"e1809","source":"Crossref","is-referenced-by-count":4,"title":["Design and research of automated warehouse simulation platform based on virtual visualization framework"],"prefix":"10.7717","volume":"10","author":[{"given":"Huajun","family":"Di","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"4443","published-online":{"date-parts":[[2024,1,22]]},"reference":[{"issue":"1","key":"10.7717\/peerj-cs.1809\/ref-1","doi-asserted-by":"publisher","first-page":"200","DOI":"10.1108\/SASBE-01-2021-0016","article-title":"Digital twin-based progress monitoring management model through reality capture to extended 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