Intelligent Storage Location Allocation with Multiple Objectives for Flood Control Materials
Wang, Wei and Yang, Jing and Huang, Li and Proverbs, David and Wei, Jianbin (2019) Intelligent Storage Location Allocation with Multiple Objectives for Flood Control Materials. Water, 11 (8). p. 1537. ISSN 2073-4441
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Abstract
Intelligent storage is an important element of intelligent logistics and a key development trend in modern warehousing and logistics. Based on the characteristics of flood control materials and their intelligent storage, this study established a flood control material storage location allocation model reflecting the multiple objectives of retrieval efficiency and shelf stability and used a weighting method to transform a multi-objective optimization problem into a single-objective optimization problem. We then used the facilities and equipment planning and storage location allocation in the intelligent storage area for provincial flood control materials at the Zhenjiang warehouse of the Jiangsu water conservancy and flood control material reserve center as a case study. Empirical analysis was performed and used the genetic algorithm and Matrix Laboratory (MATLAB) software to optimize the storage location allocation of provincial flood prevention supplies at this warehouse, and it achieved effective results.
| Item Type: | Article |
|---|---|
| Identification Number: | https://doi.org/10.3390/w11081537 |
| Date: | 25 July 2019 |
| Uncontrolled Keywords: | flood control materials; intelligent warehousing; location allocation; multi-objective optimization |
| Subjects: | K900 Others in Architecture, Building and Planning |
| Divisions: | Faculty of Computing, Engineering and the Built Environment Faculty of Computing, Engineering and the Built Environment > School of Engineering and the Built Environment REF UoA Output Collections > REF2021 UoA13: Architecture, Built Environment and Planning |
| Depositing User: | Euan Scott |
| Date Deposited: | 08 Aug 2019 13:26 |
| Last Modified: | 08 Aug 2019 13:26 |
| URI: | http://www.open-access.bcu.ac.uk/id/eprint/7843 |
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