Open AccessResearch on Multi-objective Storage Planning without Fixed Storage Space in Multi-warehouse
Author(s) -
Xiaokang Zhang,
Kaizhen Geng,
Lei Zhang,
Jianjun Yang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1607/1/012094
Subject(s) - computer science , warehouse , computer data storage , space (punctuation) , port (circuit theory) , operations research , mathematical optimization , function (biology) , object (grammar) , database , engineering , mathematics , artificial intelligence , marketing , evolutionary biology , electrical engineering , business , biology , operating system
This paper takes multi-objective storage planning with multiple warehouses without fixed positions as the research object, and proposes a solution to this type of problem. The mathematical model of research problem environment is established, and further through the abstract analysis of system environment and storage and transportation rules, the research is carried out from the maximum storage and transportation capacity of storage and transportation system, the balance of the occupancy rate of each warehouse, etc., so as to improve the transportation efficiency of goods in and out of the port. The actual multiple requirements are abstracted into specific mathematical expressions that can be analyzed and calculated according to environmental parameters and rule knowledge bases, and a multi-objective function for system optimization is obtained, which lays a foundation for the subsequent optimization and solution using intelligent optimization algorithms.