Assembly Line Design: The Balancing of Mixed‐Model Hybrid Assembly Lines with Genetic Algorithms20061Assembly Line Design: The Balancing of Mixed‐Model Hybrid Assembly Lines with Genetic Algorithms. Springer, Springer Series in Advanced Manufacturing, $139.00, ISBN: 1846281121 Hardcover Publication date: 14 December 2005 www.springer.com/uk/home?SGWID= 3‐102‐22‐54512544‐0&;changeHeader=true

2006 ◽  
Vol 26 (3) ◽  
pp. 252-252 ◽  
Author(s):  
Brahim Rekiek
Keyword(s):  
Genetic Algorithms ◽  
Assembly Line ◽  
Mixed Model ◽  
Publication Date ◽  
Advanced Manufacturing ◽  
Hybrid Assembly ◽  
Assembly Lines ◽  
Line Design ◽  
Springer Series

Simulated Annealing Genetic Algorithm and its Application in Mixed-Model Assembly Line Design

2010 ◽  
Vol 136 ◽  
pp. 64-68 ◽  
Author(s):  
Yan Jiang ◽  
Xiang Feng Li ◽  
Dun Wen Zuo ◽  
Guang Ming Jiao ◽  
Shan Liang Xue
Keyword(s):  
Genetic Algorithm ◽  
Simulated Annealing ◽  
Local Search ◽  
Assembly Line ◽  
Mixed Model ◽  
Simulated Annealing Genetic Algorithm ◽  
Simple Genetic Algorithm ◽  
Mixed Model Assembly Line ◽  
Line Design ◽  
Mixed Model Assembly

Simple genetic algorithm has shortcomings of poor local search ability and premature convergence. To overcome these disadvantages, simulated annealing algorithm which has good local search ability was combined with genetic algorithm to form simulated annealing genetic algorithm. The tests by two commonly used test functions of Shaffer’s F6 and Rosenbrock show that simulated annealing genetic algorithm outperforms the simple genetic algorithm both in convergence rate and convergence quality. Finally, the simulated annealing genetic algorithm was firstly applied in a practical problem of balancing and sequencing design of mixed-model assembly line, once again, the solution results show that simulated annealing genetic algorithm outperforms the simple genetic algorithm. Meanwhile, it provides a new algorithm for solving the design problem of mixed-model assembly line.

scholarly journals Mixed integer linear programming models for minimizing ergonomic risk dispersion in an assembly line at the Nissan Barcelona factory

2018 ◽  
pp. 72-89 ◽  
Author(s):  
Joaquín Bautista-Valhondo ◽  
Rocío Alfaro-Pozo
Keyword(s):  
Assembly Line ◽  
Mixed Model ◽  
Assembly Line Balancing ◽  
Mixed Integer ◽  
Assembly Lines ◽  
Absolute Deviation ◽  
Mixed Model Assembly Lines ◽  
Average Maximum ◽  
Ergonomic Risk

We present a variant of the approach to the assembly line balancing problems, with the aim of reducing the ergonomic risk for operators of mixed-model assembly lines (MILP-3). Specifically, the MILP-3 model is focused on minimizing the average range between ergonomic risk values of workstations. Using a case study from Nissan’s plant in Barcelona, not only are the differences between levels of ergonomic risk of stations reduced, but we attempt to reduce the average maximum ergonomic risk of the assembly line. The new model is compared with two others, MILP-1 and MILP-2, which minimize the average maximum ergonomic risk and the average absolute deviation of the risks, respectively.

Sequencing Mixed-Model Assembly Line under a JIT-Approach‌

2011 ◽  
Vol 110-116 ◽  
pp. 4324-4329
Author(s):  
Neda Beitollahi Tavakoli ◽  
Parviz Fattahi
Keyword(s):  
Assembly Line ◽  
Mixed Model ◽  
Traditional Approach ◽  
Shop Floor ◽  
Final Assembly ◽  
Floor Systems ◽  
Mixed Approach ◽  
Mixed Model Assembly Line ◽  
Line Design ◽  
Mixed Model Assembly

Mixed-model assembly line is known to be a special case of production lines where various and different models of the same products are inter-mixed to be assembled on the same line. Using mixed model assembly line involves not only the traditional problems of assembly line design (i.e., determining the line cycle time, the number and sequence of stations of the line, and balancing the line) but also determining the sequence in which products will be scheduled for assembly. In each station, some components are assembled in the final products. Under just in time (JIT) approach; an objective is to have a fairly constant usage rate for each component going into final assembly to facilitate the use of Kanban or other JIT shop-floor systems. In this paper, a mixed approach, the sequencing mixed-model assembly line problem with a JIT-supply of required materials, ‌is studied and a mathematical model is proposed for solving it. The results are compared with a traditional approach. Some experiments are used to evaluate the performance of the proposed model.

Study on Reconfiguration Approach of Mixed-Model Assembly Line Based on Petri Net Modeling of Workstations

2012 ◽  
Vol 263-266 ◽  
pp. 3265-3273
Author(s):  
Shu Xu ◽  
Fu Ming Li
Keyword(s):  
Assembly Line ◽  
Mixed Model ◽  
Equivalent Transformation ◽  
Assembly Lines ◽  
Short Term ◽  
Mixed Model Assembly Lines ◽  
Equipment Configuration ◽  
Mixed Model Assembly Line ◽  
Mixed Model Assembly ◽  
Structure Research

This thesis puts forward a reconfiguration approach of mixed-model assembly line on the basis of adding equipments against short-term and violent change of demand. This approach makes uses of equivalent transformation of task volume to judge whether the capacity of current assembly line can satisfy the demand according to delivery time, and gives equipment configuration of completing the order by adjusting assembly line structure. Research results show that the shortage and excess of assembly line capacity as well as equipment configuration is different when order changes. The approach proposed in this thesis can be directly adopted as the scheme of mixed-model assembly line and referred to other capacity adjustment schemes, such as balancing the mixed-model assembly lines and cooperative manufacture.

scholarly journals Multiobjective Fuzzy Mixed Assembly Line Sequencing Optimization Model

2014 ◽  
Vol 2014 ◽  
pp. 1-19 ◽  
Author(s):  
Farzad Tahriri ◽  
Siti Zawiah Md Dawal ◽  
Zahari Taha
Keyword(s):  
Optimization Model ◽  
Assembly Line ◽  
Mixed Model ◽  
Job Shop ◽  
Setup Time ◽  
Assembly Lines ◽  
Production Lines ◽  
Travelling Time ◽  
Mixed Model Assembly Line ◽  
Mixed Model Assembly

It can be deduced from previous studies that there exists a research gap in assembly line sequencing optimization model for mixed-model production lines. In particular, there is a lack of studies which focus on the integration between job shop and assembly lines using fuzzy techniques. Hence, this paper is aimed at addressing the multiobjective mixed-model assembly line sequencing problem by integrating job shop and assembly production lines for factories with modular layouts. The primary goal is to minimize the make-span, setup time, and cost simultaneously in mixed-model assembly lines. Such conflicting goals arise when switching between different products. A genetic algorithm (GA) approach is used to solve this problem, in which trapezoidal fuzzy numbers are implemented for variables such as operation and travelling time in order to generate results with higher accuracy and representative of real-case data.

Sequencing mixed-model assembly lines with genetic algorithms

1996 ◽  
Vol 30 (4) ◽  
pp. 1027-1036 ◽  
Author(s):  
Yow-Yuh Leu ◽  
Lance A. Matheson ◽  
Loren Paul Rees
Keyword(s):  
Genetic Algorithms ◽  
Mixed Model ◽  
Assembly Lines ◽  
Mixed Model Assembly Lines ◽  
Mixed Model Assembly
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