Optimization of the Supply of Components for Mass Production with the Use of the Ant Colony Algorithm

被引:11
|
作者
Kotowska, Joanna [1 ]
Markowski, Marcin [2 ]
Burduk, Anna [1 ]
机构
[1] Wroclaw Univ Sci & Technol, Fac Mech Engn, Wybrzeze Wyspianskiego 27, PL-50370 Wroclaw, Poland
[2] Wroclaw Univ Sci & Technol, Fac Elect, Wybrzeze Wyspianskiego 27, PL-50370 Wroclaw, Poland
关键词
Logistics processes; Milk run; Ant colony optimization (ACO); Meta-heuristics; Intelligent optimization methods of production systems; MANAGEMENT;
D O I
10.1007/978-3-319-64465-3_34
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The paper raises the issue of adapting the logistics processes to the changes in the manufacturing area. The continuous improvement of production processes enforces searching for better solutions for the milk run to achieve shorter time of the milk run loop. In the paper we propose integer linear programming (ILP) model ant the intelligent ant-colony based meta-heuristic algorithm for the milkman problem. The tuning process of algorithm and the verification of algorithm performance are reported in the paper. Proposed algorithm is then utilized for solving real-life production line provisioning problem.
引用
收藏
页码:347 / 357
页数:11
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