4.2 Article

Location and Layout of Common Storage and Multichannel Common Distribution considering Time Windows

Journal

WIRELESS COMMUNICATIONS & MOBILE COMPUTING
Volume 2021, Issue -, Pages -

Publisher

WILEY-HINDAWI
DOI: 10.1155/2021/2150293

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In common logistic activities involving storage and distribution, challenges like urban traffic congestion and restricted parking can be alleviated by setting arrival times for customer orders within time windows. This study proposes a dual-objective optimization approach that links time windows with distribution efficiency, aiming to minimize total costs while meeting time constraints. Investigating various intelligent algorithms, the squirrel search algorithm (SSA) demonstrates more stable performance and superior solution outcomes.
In the process of logistic activities of common storage and common distribution, due to problems such as urban traffic congestion period, parking restriction, working time restriction, and road restriction time, people often agree on the arrival time for customer orders, so that the receiving and delivering parties can connect in time and speed up unloading and distribution. Therefore, considering the actual distribution operation, it is necessary to consider the location and layout of common storage and multichannel common distribution in time windows. This paper takes multichannel common storage and common distribution as the research object, combines with the actual distribution situation, considers the location and distribution route optimization of the common storage and common distribution mode under the condition of time windows, takes the form of linking time windows with distribution time completion efficiency, and forms a reverse constraint on the objective function by time completion efficiency, thus realizing the double-objective optimization of minimizing the total cost and satisfying the time windows. In addition, through the comparison of various intelligent algorithms, find that the squirrel search algorithm (SSA) has more stable performance and better solution results.

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