scholarly journals A Methodology to Design and Balance Multiple Cell Manufacturing Systems

2020 ◽  
Author(s):  
Luis Valdivia ◽  
Pedro Palominos
Keyword(s):  
Manufacturing Systems ◽  
Cell Manufacturing ◽  
Multiple Cell

Progress on 15-MW single-thread silicon-film? solar cell manufacturing systems

2002 ◽  
Vol 10 (2) ◽  
pp. 119-128 ◽  
Author(s):  
J. S. Culik ◽  
I. S. Goncharovsky ◽  
J. A. Rand ◽  
A. M. Barnett
Keyword(s):  
Solar Cell ◽  
Manufacturing Systems ◽  
Silicon Film ◽  
Single Thread ◽  
Cell Manufacturing

scholarly journals A Reactive Population Approach on the Dolphin Echolocation Algorithm for Solving Cell Manufacturing Systems

Mathematics ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 1389
Author(s):  
Ricardo Soto ◽  
Broderick Crawford ◽  
Rodrigo Olivares ◽  
César Carrasco ◽  
Eduardo Rodriguez-Tello ◽  
...  
Keyword(s):  
Swarm Intelligence ◽  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Optimization Problem ◽  
Local Optimum ◽  
Cell Manufacturing ◽  
Intelligence Algorithm ◽  
Autonomous Search ◽  
Parameter Values ◽  
Swarm Intelligence Algorithm

In this paper, we integrate the autonomous search paradigm on a swarm intelligence algorithm in order to incorporate the auto-adjust capability on parameter values during the run. We propose an independent procedure that begins to work when it detects a stagnation in a local optimum, and it can be applied to any population-based algorithms. For that, we employ the autonomous search technique which allows solvers to automatically re-configure its solving parameters for enhancing the process when poor performances are detected. This feature is dramatically crucial when swarm intelligence methods are developed and tested. Finding the best parameter values that generate the best results is known as an optimization problem itself. For that, we evaluate the behavior of the population size to autonomously be adapted and controlled during the solving time according to the requirements of the problem. The proposal is testing on the dolphin echolocation algorithm which is a recent swarm intelligence algorithm based on the dolphin feature to navigate underwater and identify prey. As an optimization problem to solve, we test a machine-part cell formation problem which is a widely used technique for improving production flexibility, efficiency, and cost reduction in the manufacturing industry decomposing a manufacturing plant in a set of clusters called cells. The goal is to design a cell layout in such a way that the need for moving parts from one cell to another is minimized. Using statistical non-parametric tests, we demonstrate that the proposed approach efficiently solves 160 well-known cell manufacturing instances outperforming the classic optimization algorithm as well as other approaches reported in the literature, while keeping excellent robustness levels.

scholarly journals A Study on the Design and Operation of Modular Cell Manufacturing Systems

1997 ◽  
Vol 30 (14) ◽  
pp. 165-170
Author(s):  
Kwang Bang Woo ◽  
Sung Soo Kim ◽  
Kyeon Hur
Keyword(s):  
Manufacturing Systems ◽  
Cell Manufacturing

3703 Application of sensors in robot cell manufacturing systems

2007 ◽  
Vol 2007.4 (0) ◽  
pp. 307-308
Author(s):  
M. Matsuoka ◽  
K. Kitajima ◽  
M. Kasuya ◽  
T. Watanabe
Keyword(s):  
Manufacturing Systems ◽  
Cell Manufacturing ◽  
Robot Cell

scholarly journals Methodology for the Simulation based Energy Efficiency Assessment of Battery Cell Manufacturing Systems

2020 ◽  
Vol 43 ◽  
pp. 32-39
Author(s):  
Max Weeber ◽  
Johannes Wanner ◽  
Philipp Schlegel ◽  
Kai Peter Birke ◽  
Alexander Sauer
Keyword(s):  
Energy Efficiency ◽  
Manufacturing Systems ◽  
Battery Cell ◽  
Efficiency Assessment ◽  
Cell Manufacturing ◽  
Simulation Based
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