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Open AccessArticle

Intelligent Storage Location Allocation with Multiple Objectives for Flood Control Materials

1
Key Laboratory of Coastal Disaster and Defence of Ministry of Education, Hohai University, Nanjing 210098, China
2
College of Harbor, Coastal and Offshore Engineering, Hohai University, Nanjing 210098, China
3
Business School, Sichuan University, Chengdu 610065, China
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School of Public Administration, Hohai University, Nanjing 210098, China
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Computing, Engineering and Built Environment at Birmingham City University, Birmingham B4 7XG, UK
6
Jiangsu Provincial Hydraulic and Flood Control Material Reserve Centre, Nanjing 210000, China
*
Author to whom correspondence should be addressed.
Water 2019, 11(8), 1537; https://doi.org/10.3390/w11081537
Received: 16 June 2019 / Revised: 15 July 2019 / Accepted: 18 July 2019 / Published: 25 July 2019
(This article belongs to the Special Issue Flood Risk and Resilience)
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. View Full-Text
Keywords: flood control materials; intelligent warehousing; location allocation; multi-objective optimization flood control materials; intelligent warehousing; location allocation; multi-objective optimization
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MDPI and ACS Style

Wang, W.; Yang, J.; Huang, L.; Proverbs, D.; Wei, J. Intelligent Storage Location Allocation with Multiple Objectives for Flood Control Materials. Water 2019, 11, 1537.

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