Design of Experiments and Analysis of Variance

2011 ◽  
pp. 284-305
Keyword(s):  
Design Of Experiments ◽  
Analysis Of Variance

Design of experiments and analysis of variance

2019 ◽  
pp. 605-648
Author(s):  
Andrew Metcalfe ◽  
David Green ◽  
Tony Greenfield ◽  
Mahayaudin Mansor ◽  
Andrew Smith ◽  
...  
Keyword(s):  
Design Of Experiments ◽  
Analysis Of Variance

scholarly journals A Case Study of Six Sigma Define-Measure-Analyze-Improve-Control (DMAIC) Methodology in Garment Sector

2017 ◽  
Vol 8 (4) ◽  
pp. 1309 ◽  
Author(s):  
Abdur Rahman ◽  
Salaha Uddin Chowdhury Shaju ◽  
Sharan Kumar Sarkar ◽  
Mohammad Zahed Hashem ◽  
S. M. Kamrul Hasan ◽  
...  
Keyword(s):  
Design Of Experiments ◽  
Analysis Of Variance ◽  
Six Sigma ◽  
Empirical Application ◽  
Sigma Level ◽  
Manufacturing Organization

This paper demonstrates the empirical application of Six Sigma and Define-Measure-Analyze-Improve-Control (DMAIC) methodology to reduce product defects within a garments manufacturing organization in Bangladesh which follows the DMAIC methodology to investigate defects, root causes and provide a solution to eliminate these defects. The analysis from employing Six Sigma and DMAIC indicated that the broken stitch and open seam influenced the number of defective products. Design of experiments (DOE) and the analysis of variance (ANOVA) techniques were combined to statistically determine the correlation of the broken stitch and open seam with defects as well as to define their optimum values needed to eliminate the defects. Thus, a reduction of about 35% in the garments defect was achieved, which helped the organization studied to reduce its defects and thus improve its Sigma level from 1.7 to 3.4.

Design of Experiments to Study Slurry Erosive Wear Behavior of Inconel-718 Coatings on Copper

2014 ◽  
Vol 939 ◽  
pp. 459-464 ◽  
Author(s):  
C.S. Ramesh ◽  
Rupanagudi Suresh Kumar ◽  
Sikhakolli Ramakrishna ◽  
Venkatesh K.G. Kashyap
Keyword(s):  
Particle Size ◽  
Design Of Experiments ◽  
Analysis Of Variance ◽  
Inconel 718 ◽  
Wear Behavior ◽  
Erosive Wear ◽  
Taguchi Technique ◽  
Nacl Solution ◽  
Slurry Erosion ◽  
Wear Tests

The present work is aimed at investigating the effect of speed , slurry concentration and particle size on Inconel-718 coatings on copper subjected to slurry erosion with the help of DOE (design of experiments) tool among which the Taguchi technique is well known. The coatings are subjected to slurry erosive wear tests in 3.5% NaCl solution (35 gms NaCl/ ltr of water) with sand as erodent. On application of analysis of variance, it is found that all three parameters namely speed, sand concentration of the slurry and particle size are significant with speed being the most significant one.

scholarly journals Optimization of Input Parameters of AWJM: Using three different Abrasives on MS2062

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Jasbeer Singh Satwant Singh Sidhu ◽  
Kusnurkar S. V
Keyword(s):  
Design Of Experiments ◽  
Aluminum Oxide ◽  
Analysis Of Variance ◽  
Flow Rate ◽  
Surface Finish ◽  
Abrasive Water Jet ◽  
Abrasive Water Jet Machining ◽  
Input Parameters ◽  
Kerf Angle ◽  
Taguchi’S Design Of Experiments

The objective of this work is to optimize input parameters of AWJM (Abrasive Water Jet Machining) such as Nozzle Transverse Speed (NTS), Abrasive Flow Rate (AFR) and Stand-off Distance (SOD) using three different abrasives Garnet, Brown Fused Alumina and White Aluminum Oxide on MS2062 and to compare their performance with surface finish, MRR and kerf angle. Experiments were conducted according to Taguchi’s design of experiments. Analysis of variance is conducted to investigate the influence of each parameter on responses Three controllable parameters of three levels are applied for determining the optimal responses The results revealed that NTS is a most significant factor for MRR among three abrasives followed by AFR and SOD, with regards to surface finish and MRR White Aluminum Oxide has emerged as a most strong abrasive followed by Brown Fused Alumina and Garnet. It is recommended, to achieve the better surface finish, less kerf angle and good MRR White Aluminum Oxide be used in place of Garnet which is mostly used by the industry today.

scholarly journals Application of Six Sigma using Define Measure Analyze Improve Control (DMAIC) methodology in Garment Sector

2018 ◽  
Vol 9 (3) ◽  
pp. 810 ◽  
Author(s):  
Abdur Rahman ◽  
Salaha Uddin Chowdhury Shaju ◽  
Sharan Kumar Sarkar ◽  
Mohammad Zahed Hashem ◽  
S. M. Kamrul Hasan ◽  
...  
Keyword(s):  
Design Of Experiments ◽  
Analysis Of Variance ◽  
Six Sigma ◽  
Empirical Application ◽  
Sigma Level ◽  
Manufacturing Organization

This paper demonstrates the empirical application of Six Sigma and Define-Measure-Analyze-Improve-Control (DMAIC) methodology to reduce product defects within a garments manufacturing organization in Bangladesh which follows the DMAIC methodology to investigate defects, root causes and provide a solution to eliminate these defects. Design of experiments (DOE) and the analysis of variance (ANOVA) techniques were combined to statistically determine the correlation of the broken stitch and open seam with defects as well as to define their optimum values needed to eliminate the defects. The analysis from employing Six Sigma and DMAIC indicated that the broken stitch and open seam influenced the number of defective products. Thus, a reduction of about 35% in the garments defect was achieved, which helped the organization studied to reduce its defects and thus improve its Sigma level from 1.7 to 3.4.

SIMULATION, ANALYSIS AND OPTIMIZATION OF CONTAINER TERMINALS PROCESSES

2012 ◽  
Vol 03 (04) ◽  
pp. 1240006 ◽  
Author(s):  
AGOSTINO BRUZZONE ◽  
FRANCESCO LONGO ◽  
LETIZIA NICOLETTI ◽  
ELEONORA BOTTANI ◽  
ROBERTO MONTANARI
Keyword(s):  
Design Of Experiments ◽  
Simulation Model ◽  
Analysis Of Variance ◽  
Simulation Analysis ◽  
Container Terminal ◽  
Service Level ◽  
Container Terminals ◽  
Arrival Times ◽  
Port Area ◽  
Freight Logistics

The freight logistics includes all the processes needed to supply industry, retailers and wholesalers and final customers with goods. Such processes generate a flow of goods that, in the global supply chain, mainly relies on the activities carried out within worldwide container terminals. In this paper, the authors present a simulation model of a real container terminal. After some preliminary analyses, the simulation model is first used with Design of Experiments and Analysis of Variance to investigate the effects of different resources allocations (i.e., number of forklifts and tractors) and some parameters (i.e., inter-arrival times, container unloading time) on the container terminal performances in terms of total number of handled containers per day. Then, based on the results achieved through the Design of Experiments and Analysis of Variance, the simulation model is used with genetic algorithms to carry out a range allocation optimization on berth assignment to incoming ships and number of tractors serving each quay crane. The aim of the optimization is the minimization of the average time spent by each ship in the port area (decreasing, as consequence, costs and increasing service level provided to final customers).

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