scholarly journals A smart algorithm for multi-criteria optimization of model sequencing problem in assembly lines

2020 ◽  
Vol 61 ◽  
pp. 101844 ◽  
Author(s):  
Mudassar Rauf ◽  
Zailin Guan ◽  
Shoaib Sarfraz ◽  
Jabir Mumtaz ◽  
Essam Shehab ◽  
...  
BIBECHANA ◽  
2012 ◽  
Vol 8 ◽  
pp. 53-58
Author(s):  
Shree Ram Khadka

The product rate variation problem with batching minimizes the variation in the rate at which different models of a common base product are produced on the assembly lines with the assumption of significant setup and arbitrary processing times for each copy of each model. Establishment of bottlenecks to the problem is important for the feasible and the optimal solution to the problem. In this paper, the lower and the upper bottlenecks to the problem are established. Moreover, small bottlenecks that lead to optimality to some instances are investigated.Keywords: Product rate variation problem; batching; sequencing problem; nonlinear integer programmingDOI: http://dx.doi.org/10.3126/bibechana.v8i0.4876BIBECHANA 8 (2012) 53-58


2013 ◽  
Vol 655-657 ◽  
pp. 1675-1681
Author(s):  
Shu Xu ◽  
Fu Ming Li

On the base of summarizing and contrasting the objectives of sequencing problem in mixed model assembly lines (MMAL) , and in consideration of the influence sequence-dependent setup times , a objective is proposed to minimize the total unfinished works and idle times over all jobs and stations . And the corresponding model is presented. To solve this model, a modified genetic algorithm is proposed to determine suitable sequences. Comparing with the Lingo 9 software, the proposed GA turns out to have a good ability to solve the sequencing problems.


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