Methods for optimization in the manufacturing system - the taguchi method: An engineering approach to its implementation

1989 ◽  
Vol 20 ◽  
pp. 205-218 ◽  
Author(s):  
Richard R. Lindeke ◽  
Ying-Hsin Andrew Liou
Keyword(s):  
Taguchi Method ◽  
Manufacturing System ◽  
Engineering Approach

Performance optimization of a flexible manufacturing system using simulation: the Taguchi method versus OptQuest

SIMULATION ◽  
2019 ◽  
Vol 95 (11) ◽  
pp. 1085-1096 ◽  
Author(s):  
Abdessalem Jerbi ◽  
Achraf Ammar ◽  
Mohamed Krid ◽  
Bashir Salah
Keyword(s):  
Taguchi Method ◽  
Performance Optimization ◽  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
Flow Time ◽  
Mean Flow ◽  
Taguchi Optimization ◽  
Mean Flow Time

The Taguchi method is widely used in the field of manufacturing systems performance simulation and improvement. On the other hand, Arena/OptQuest is one of the most efficient contemporary simulation/optimization software tools. The objective of this paper is to evaluate and compare these two tools applied to a flexible manufacturing system performance optimization context, based on simulation. The principal purpose of this comparison is to determine their performances based on the quality of the obtained results and the gain in the simulation effort. The results of the comparison, applied to a flexible manufacturing system mean flow time optimization, show that the Arena/OptQuest optimization platform outperforms the Taguchi optimization method. Indeed, the Arena/OptQuest permits one, through the lowest experimental effort, to reliably minimize the mean flow time of the studied flexible manufacturing system more than the Taguchi method.

Robust Optimization of the Deep Drilling Process by Taguchi Method

2015 ◽  
Vol 760 ◽  
pp. 403-408
Author(s):  
Laurentiu Aurel Mihail
Keyword(s):  
Surface Roughness ◽  
Taguchi Method ◽  
Robust Optimization ◽  
Drilling Process ◽  
Machining Parameters ◽  
Deep Drilling ◽  
Engineering Approach ◽  
Drilling Parameters ◽  
Profile Height ◽  
Average Profile

The paper presents an optimization by using the robust engineering approach, for the optimization of the deep drilling process by assessing the surface roughness by the Ra parameter. The trials were developed according with the Robust Engineering principles, by applying the Taguchi Method. The parameter for decision is the average profile height (Ra) of the roughness. Finally, there are presented solutions for the setting-up the deep drilling parameters levels in such a way to assure the best quality at the level of the generated surface. The method results to be reliable for being applied for achieving the optimal setup machining parameters used for the deep drilling process.

Using Taguchi Method to Optimize the Performance of Flexible Manufacturing Systems: An Empirical Model

2015 ◽  
Vol 799-800 ◽  
pp. 1410-1416
Author(s):  
Guanghsu A. Chang ◽  
William R. Peterson
Keyword(s):  
Taguchi Method ◽  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Life Cycles ◽  
Design Parameters ◽  
Product Mix ◽  
World Markets ◽  
Manufacturing System Design ◽  
And Performance

Increasing global competition, shrinking product life cycles, and increasing product mix are defining a new manufacturing environment in world markets. This paper presents a case problem using Taguchi Method to find optimum design parameters for a Flexible Manufacturing System (FMS). A L8 array, signal-to-noise (S/N) ratio and analysis of variance (ANOVA) are employed to study performance characteristics of selected manufacturing system design parameters (e.g. layout, AGVs, buffers, and routings) with consideration of product mix demand. Various design and performance parameters are evaluated and compared for the original and the improved FMS. The results obtained by this method may be useful to other researchers for similar types of applications.

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