Sequencing mixed-model assembly lines by considering feeding lines

被引:11
|
作者
Fattahi, Parviz [2 ]
Tavakoli, Neda Beitollahi [1 ]
Fathollah, Mehdi [3 ]
Roshani, Abdolreza [4 ]
Salehi, Mohsen [5 ]
机构
[1] Islamic Azad Univ, Dept Engn, Hamedan Branch, Hamadan, Iran
[2] Bu Ali Sina Univ, Dept Ind Engn, Hamadan, Iran
[3] Islamic Azad Univ, Dept Ind Engn, Karaj Branch, Karaj, Iran
[4] Islamic Azad Univ, Kermanshah Branch, Dept Ind Engn, Kermanshah, Iran
[5] Inst Trade Studies & Res, Tehran, Iran
关键词
Mixed-model assembly line; Meta-heuristic algorithms; Multi-objective; Feeding line; GENETIC ALGORITHM; MINIMIZE;
D O I
10.1007/s00170-011-3726-3
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A mixed-model assembly line is a type of production line where different models of a product are assembled on. Mixed-model assembly lines can respond to unanticipated changes in product demands quickly without keeping so many inventories. Designing mixed-model assembly line involves solving the traditional problems of the assembly line design (consists of balancing problem, determining cycle time, and the number and sequence of stations) in addition of determining the sequence of products in assembly line. The main goal of this paper is presenting a method in order to determine the sequence of products in mixed-model assembly line by considering Just-in-Time systems. Moreover, supplying some required components from feeding lines is considered. A mathematical model is presented which is capable of specifying the sequence of products in the mixed-model assembly line by considering main criteria and keeping feeding lines balanced. Mathematical model can be used for solving small-size problems. Because the combinatorial nature of sequencing problems typically provides an intractable search space for problems of "real world" size, the search heuristics of simulated annealing and ant colony algorithms are presented and used to find solutions for several problem sets. Experimentations show that the simulated annealing approach outperforms the ant colony approach in objective function performance.
引用
收藏
页码:677 / 690
页数:14
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