Design of experiment for evaluation of uncertainty from sampling in the framework of the fitness for purpose concept: a case study

2008 ◽  
Vol 13 (2) ◽  
pp. 63-68 ◽  
Author(s):  
Ilya Kuselman
Keyword(s):  
Design Of Experiment ◽  
Fitness For Purpose

Design of Experiment and Statistical Approach to Optimize New Zone Behind Pipe Opportunity: North Roger Block Case Study

2015 ◽  
Author(s):  
Nugroho Jati ◽  
Fatkhur Rahman ◽  
Hendri Kurniawan ◽  
Zakiyah Fajar Sari ◽  
Siska Puspasari
Keyword(s):  
Design Of Experiment ◽  
Statistical Approach

Application of Design of Experiment and Computer Simulation to Improve the Color Industry Productivity: Case Study

2014 ◽  
Vol 68 (4) ◽  
Author(s):  
Seyed Mojib Zahraee ◽  
Shahab Shariatmadari ◽  
Hadi Badri Ahmadi ◽  
Saeed Hakimi ◽  
Ataollah Shahpanah
Keyword(s):  
Resource Utilization ◽  
Design Of Experiment ◽  
Production Line ◽  
Controversial Issues ◽  
Full Time ◽  
Manufacturing Companies ◽  
Part Time ◽  
High Level ◽  
Process Productivity

One of the controversial issues in manufacturing companies is bottleneck. Managers and engineers try to deal with this difficulty to improve the productivity such as increasing resource utilization and throughput. One color factory is selected as a case study in this paper. This company tries to identify and decrease the bottlenecks in the production line. The goal of this paper is building the simulation model of production line to improve the productivity by analyzing the bottleneck. To achieve this goal, statistical method named design of experiment (DOE) was performed in order to find the optimum combination of factors that have the significant effect on the process productivity. The analysis shows that all of the main factors have a significant effect on the production line productivity. The optimum value of productivity is achieved when the number of delpak mixer (C) and number of lifter (D) to be located at high level that is equal to 2 and 2 respectively. The most significant conclusion of this study is that 3.2 labors are required to reach maximum productivity based on the resource utilization and cost. It means that 3 full time labors and one part time labor should be employed for the production line. 

scholarly journals Optimization of Packaging Line Performance: A Case Study of AB Breweries in Nigeria

2018 ◽  
pp. 1-22
Author(s):  
Chinedu James Ujam ◽  
Harold Chukwuemeka Godwin
Keyword(s):  
Simulation Model ◽  
Design Of Experiment ◽  
Production System ◽  
Simulation Software ◽  
Production Performance ◽  
Machine Breakdown ◽  
Fishbone Diagram ◽  
And Performance ◽  
The Impact

This paper presents an approach for improving productivity in breweries. A case study of AB brewery was adopted. Traditionally, packaging line improve  performance and productivity based on extrapolation of past experience, but in recent times, the traditional method could not meet up with high increase in demand of products, hence the need to adopt a new approach of using information technology and software to analyze problems and improving performance. Eleven weeks of the following data were collected and calculated; production outputs and running time; OPI and Target; and Packaging line downtimes. Downtimes were grouped into machine breakdown, planned downtime, and external downtimes and analyzed with histogram to know the impact of each group to the overall downtimes. To apply fishbone diagram, it was further grouped into Material, Method, Man and Machine after which a Pareto graph was plotted to understand the area of focus in tackling production system problems. Tecnomatrix plant simulation software was adopted to develop a simulation model that mimic the real system which further found hidden problems existing within the production system. Design of experiment was carried out to select the best alternatives from the results generated, and finally excel spreadsheet interface was developed for better analysis and performance tracking of optimized system. Result of data analysis indicated that machine breakdown and external downtimes were the major problems affecting performance, while simulation model revealed that unregulated system and un-optimized regulated lines recorded high machine breakdown and speed losses which affected the production performance output respectively. Design of experiment found the best speed combination of sensors to optimize two labellers.

Comparative Study on Design of Experiment in Frequency-Based Response Surface Methodology for Damage Detection

2015 ◽  
Vol 735 ◽  
pp. 168-173 ◽  
Author(s):  
Sarehati Umar ◽  
Norhisham Bakhary ◽  
Airil Yasreen Mohd Yassin
Keyword(s):  
Response Surface Methodology ◽  
Damage Detection ◽  
Response Surface ◽  
Design Of Experiment ◽  
Model Updating ◽  
Quadratic Functions ◽  
Modal Frequency ◽  
Simply Supported ◽  
Central Composite

This paper investigates the performance of design of experiment (DOE) in response surface methodology (RSM) for vibration-based damage detection. The ability of three major types of DOE, namely central composite design (CCD), Box-Behnken (BBD) and D-optimal (Dopt) for damage detection based on modal frequency are investigated and compared. A procedure comprising three main stages—sampling, response surface (RS) modelling and model updating—are employed for damage localisation and quantification. By considering Young’s modulus and modal frequency as respective input and output, a set of samples is generated from each DOE. Full quadratic functions are considered in RS modelling while model updating is performed for damage detection. The performances of DOE are compared based on damage detectability. A numerical simply supported beam is used as case study by considering several single damage cases. The results show that CCD provides better prediction compared to other DOEs.

Process optimization using sequential design of experiment: A case study

2018 ◽  
Vol 31 (3) ◽  
pp. 473-483
Author(s):  
Shanshan Lv ◽  
Zhen He ◽  
A. Valeria Quevedo ◽  
Yiming Zhang Mirabile ◽  
G. Geoffrey Vining
Keyword(s):  
Process Optimization ◽  
Design Of Experiment ◽  
Sequential Design

Prototyping for Desirability by Design of Experiments: A Case Study of a Hardware Startup

2018 ◽  
Author(s):  
Lasse Skovgaard Jensen ◽  
Daniel Vorting ◽  
Andreas Villadsen ◽  
Lasse Hylleberg Mølleskov ◽  
Ali Gürcan Özkil
Keyword(s):  
Response Surface Methodology ◽  
Product Development ◽  
Design Of Experiments ◽  
Statistical Model ◽  
Design Of Experiment ◽  
Design Parameters ◽  
Early Stages ◽  
Start Up ◽  
Perceived Desirability

This paper presents a study on how prototyping and ‘Design of Experiments’ principles can be applied in the early stages of product development. It is explored how four design parameters affect the perceived desirability of a physical alarm device, in development by a small start-up company. By utilizing recent advancements in the tools and platforms, available for the fabrication of prototypes, a range of physical prototypes are made. These prototypes are used to conduct 44 user tests and the results were used to establish a statistical model based on the Response Surface Methodology. The results of the model are outlined, highlighting the primary drivers of product desirability, as well as exemplifying the dynamics among the explored desirability parameters. The statistical model is tested through an experiment, which verifies the model’s ability to prescribe the perceived desirability for specific prototypes of the alarm device. The study hereby presents promising results for incorporating Design of Experiment principles in early stages of product development, and the authors encourage further studies to be conducted.

Modifying uncertainty from sampling to achieve fitness for purpose: a case study on nitrate in lettuce

2007 ◽  
Vol 12 (2) ◽  
pp. 67-74 ◽  
Author(s):  
Jennifer A. Lyn ◽  
Ilaria M. Palestra ◽  
Michael H. Ramsey ◽  
Andrew P. Damant ◽  
Roger Wood
Keyword(s):  
Fitness For Purpose

Applying a Uniform Design of Experiment Approach for Reducing Injection Moulding Warpage Deflection

2010 ◽  
Vol 443 ◽  
pp. 57-62 ◽  
Author(s):  
Yi Min Deng ◽  
Li Zhu Wang
Keyword(s):  
Design Of Experiment ◽  
Injection Moulding ◽  
Experimental Approach ◽  
Uniform Design ◽  
Novel Method ◽  
Plastic Parts ◽  
Plastic Products

Injection moulding is an efficient means for producing plastic products in large quantities. Warpage deflection is one of the most severe defects occurring to the moulded plastic parts. In this paper, we report a novel method for reducing warpage deflection by applying a Uniform Design of Experiment (UDE) method. UDE is an experimental approach that is able to distribute experiments evenly within experimental space, especially when large number of experimental levels is necessary. We describe the method with a case study, for which the experimental table is developed and the procedure for the application of the method is elaborated. The results demonstrate that the method is effective for reducing injection moulding warpage deflection, and it is relatively more efficient than other means of DOE (Design of Experiment) approaches

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