scholarly journals Systematic Innovation for Manufacturing Quality Improvement

2018 ◽  
Vol 221 ◽  
pp. 02005
Author(s):  
Swee Shu Luing Nikalus ◽  
Guan Toh Guat ◽  
Mum Wai Yip ◽  
See Chew Tai
Keyword(s):  
Quality Control ◽  
Production Line ◽  
Function Analysis ◽  
Low Cost ◽  
Innovation Process ◽  
Root Cause ◽  
Latex Gloves ◽  
Chain Analysis ◽  
Air Blowing ◽  
The Times

This paper provides a detailed analysis on the systematic innovation process in improving the quality control of latex gloves production. The systematic innovation tool such as TRIZ is applied in this case study. Function analysis, cause and effect chain analysis, physical contradiction, By-separation model and 40 Inventive Principles are applied in order to derive some feasible and low cost solutions to alleviate the problem. Findings revealed that the rejected (leaking) gloves on the production line will be manually monitored by a checker during the air blowing test and will be discarded by the same checker instantly. The main root cause is that the quality control worker is not able to concentrate all the times to detect the torn gloves, mainly is due to the fast speed production line and other distractions. The problem is solved by applying function analysis, physical contradiction, by-separation tool and Inventive Principles to generate low cost but elegant solutions within the defined scope of several constraints and without making the production line more complex. Therefore, it can be concluded that TRIZ is a systematic and innovative problem solving methodology.

scholarly journals Thermogravimetric Analysis (TGA) of Graphene Materials: Effect of Particle Size of Graphene, Graphene Oxide and Graphite on Thermal Parameters

2021 ◽  
Vol 7 (2) ◽  
pp. 41
Author(s):  
Farzaneh Farivar ◽  
Pei Lay Yap ◽  
Ramesh Udayashankar Karunagaran ◽  
Dusan Losic
Keyword(s):  
Particle Size ◽  
Quality Control ◽  
Graphene Oxide ◽  
Thermogravimetric Analysis ◽  
Low Cost ◽  
Thermal Parameters ◽  
Carbon Decomposition ◽  
Size Number ◽  
Carbon Combustion ◽  
Oxygen Groups

Thermogravimetric analysis (TGA) has been recognized as a simple and reliable analytical tool for characterization of industrially manufactured graphene powders. Thermal properties of graphene are dependent on many parameters such as particle size, number of layers, defects and presence of oxygen groups to improve the reliability of this method for quality control of graphene materials, therefore it is important to explore the influence of these parameters. This paper presents a comprehensive TGA study to determine the influence of different particle size of the three key materials including graphene, graphene oxide and graphite on their thermal parameters such as carbon decomposition range and its temperature of maximum mass change rate (Tmax). Results showed that Tmax values derived from the TGA-DTG carbon combustion peaks of these materials increasing from GO (558–616 °C), to graphene (659–713 °C) and followed by graphite (841–949 °C) The Tmax values derived from their respective DTG carbon combustion peaks increased as their particle size increased (28.6–120.2 µm for GO, 7.6–73.4 for graphene and 24.2–148.8 µm for graphite). The linear relationship between the Tmax values and the particle size of graphene and their key impurities (graphite and GO) confirmed in this study endows the use of TGA technique with more confidence to evaluate bulk graphene-related materials (GRMs) at low-cost, rapid, reliable and simple diagnostic tool for improved quality control of industrially manufactured GRMs including detection of “fake” graphene.

A simplified low-cost approach to antibiotic resistance profiling for faecal source tracking

2004 ◽  
Vol 50 (1) ◽  
pp. 185-191 ◽  
Author(s):  
J.E. Ebdon ◽  
J.L. Wallis ◽  
H.D. Taylor
Keyword(s):  
Antibiotic Resistance ◽  
Binary Data ◽  
Human Error ◽  
Function Analysis ◽  
Average Rate ◽  
Low Cost ◽  
Source Tracking ◽  
Source Discrimination ◽  
Cost Approach ◽  
Faecal Bacteria

Antibiotic resistance profiling (ARP) is a potentially useful method for distinguishing faecal bacteria according to host source. This phenotypic approach has cost benefits over genotypic methods, but existing protocols are time-consuming and manual data handling is open to human error. A simplified, low-cost approach to the ARP technique was developed that used automated data recording techniques combined with simple statistical analyses to compare isolates of the genus Enterococcus from various faecal sources. An initial battery of 21 antibiotics (at up to four concentrations) was chosen for source discrimination. Images of growth or non-growth in microplate wells were stored as bitmaps and converted to binary data to form a database of known antibiotic resistance profiles. Discriminant function analysis (DFA) showed that the average rate of isolates correctly classified by the database (wastewater vs non-wastewater) was 86%. Once the more discriminating antibiotics and their concentrations had been identified, it was possible to reduce the number of tests from 80 to 18 whilst increasing the number of correctly classified human isolates. ARP could offer a low-cost and rapid means of identifying sources of faecal pollution. As such, the technique may be of particular benefit to developing countries, where water quality may have a significant impact on health and where cost is a major factor when choosing environmental management technology.

scholarly journals Quality Control in Production Processes

2016 ◽  
Vol 19 (3) ◽  
pp. 77-83 ◽  
Author(s):  
Miroslav Prístavka ◽  
Martina Kotorová ◽  
Radovan Savov
Keyword(s):  
Quality Control ◽  
Quality Improvement ◽  
Quality Management ◽  
Statistical Methods ◽  
Developed Countries ◽  
Basic Knowledge ◽  
Root Cause ◽  
Production Processes ◽  
Basic Quality ◽  
Quality Tools

AbstractThe tools for quality management are used for quality improvement throughout the whole Europe and developed countries. Simple statistics are considered one of the most basic methods. The goal was to apply the simple statistical methods to practice and to solve problems by using them. Selected methods are used for processing the list of internal discrepancies within the organization, and for identification of the root cause of the problem and its appropriate solution. Seven basic quality tools are simple graphical tools, but very effective in solving problems related to quality. They are called essential because they are suitable for people with at least basic knowledge in statistics; therefore, they can be used to solve the vast majority of problems.

Troubleshooting Cable Deployed Thru Tubing Electrical Submersible Pumps: A Case Study from South East Asia

2021 ◽  
Author(s):  
Saurabh Anand ◽  
Eadie Azahar B Rosland ◽  
Elsayed Ouda Ghonim ◽  
Latief Riyanto ◽  
Khairul Azhar B Abu Bakar ◽  
...  
Keyword(s):  
Low Cost ◽  
Power Cable ◽  
Related Data ◽  
Root Cause ◽  
Artificial Lift ◽  
Electrical Submersible Pumps ◽  
Cause Of Failure ◽  
Water Cut ◽  
Discharge Pressure

Abstract PETRONAS had embarked on an ambitious thru tubing ESP journey in 2016 and had installed global first truly rig less offshore Thru Tubing ESP (TTESP) in 2017. To replicate the success of the first installation, TTESP's were installed in Field – T. However, all these three TTESP's failed to produce fluids to surface. This paper provides the complete details of the troubleshooting exercise that was done to find the cause of failure in these wells. The 3 TTESP's in Field – T were installed as per procedure and was ready to be commissioned. However, during the commissioning, it was noticed that the discharge pressure of the ESP did not build-up and the TTESP's tripped due to high temperature after 15 – 30 mins of operation. Hence none of the 3 TTESP's could be successfully commissioned. Considering the strategic importance of TTESP's in PETRONAS's artificial lift plans, detailed troubleshooting exercise was done to find the root cause of failure to produce in these three wells. This troubleshooting exercise included diesel bull heading which gave some key pump performance related data. The three TTESP's installed in Field – T were of size 2.72" and had the potential to produce an average 1500 BLPD at 80% water cut. The TTESP deployment was fully rigless and was installed using 0.8" ESP power cable. The ESP and the cable was hung-off from the surface using a hanger – spool system. The entire system is complex, and the installation procedure needs to be proper to ensure a successful installation. The vast amount of data gathered during the commissioning and troubleshooting exercise was used for determining the failure reason and included preparation of static and dynamic well ESP model. After detailed technical investigative work, the team believes to have found the root cause of the issue which explains the data obtained during commission and troubleshooting phase. The detailed troubleshooting workflow and actual data obtained will be presented in this paper. A comprehensive list of lessons learnt will also be presented which includes very important aspects that needs to be considered during the design and installation of TTESP. The remedial plan is finalized and will be executed during next available weather window. The key benefit of a TTESP installation is its low cost which is 20% – 30% of a rig-based ESP workover in offshore. Hence it is expected that TTESP installations will pick-up globally and it's important for any operator to fully understand the TTESP systems and the potential pain points. PETRONAS has been a pioneer in TTESP field, and this paper will provide details on the learning curve during the TTESP journey.

scholarly journals Design and Implementation of SCADA System for Sugar Production Line

2019 ◽  
Vol 15 (2) ◽  
pp. 80-88
Author(s):  
Noor N. N. Abdulsattar ◽  
Faiz F. Mustafa ◽  
Suha M. Hadi
Keyword(s):  
Manufacturing Process ◽  
Production Line ◽  
Sugar Industry ◽  
Low Cost ◽  
Programmable Logic ◽  
Sugar Production ◽  
Design And Implementation ◽  
Selector Switch ◽  
Scada System ◽  
Plc Programming

SCADA is the technology that allows the operator to gather data from one or more various facilities and to send control instructions to those facilities.  This paper represents an adaptable and low cost SCADA system for a particular sugar manufacturing process, by using Programmable Logic Controls (Siemens s7-1200, 1214Dc/ Dc/ Rly). The system will control and monitor the laboratory production line chose from sugar industry. The project comprises of two sections the first one is the hardware section that has been designed, and built using components suitable for making it for laboratory purposes, and the second section was the software as the PLC programming, designing the HMI, creating alarms and trending system. The system will have two HMI screens according to the two operating states of system (Automatic and Manual), the operator can choose between them by a selector switch, this method helps the operators when fixing a failure and wanting to check it without operating all the process. The result has accomplished the goals of controlling, the parameters (temperature, flow, humidity) were monitored, failure was detected by an alarm.

scholarly journals Adsorption of UV254 in Kerian River water onto ZeliacTM: Analysis using linear and non-linear forms of isotherm models

2017 ◽  
Vol 19 (1) ◽  
pp. 74-81 ◽  
Keyword(s):  
River Water ◽  
Function Analysis ◽  
Low Cost ◽  
Error Function ◽  
Linear Regression Analysis ◽  
Freundlich Isotherm ◽  
Linear Analysis ◽  
Isotherm Models ◽  
Freundlich Isotherms ◽  
Non Linear

<p>The composite media, Zeliac<sup>TM</sup> was developed with the initial aim to provide low cost adsorbent with promising adsorption capacity. This study was conducted to investigate the removal of UV absorbance at 254 nm (UV<sub>254</sub>) in Kerian river water using Zeliac<sup>TM</sup> as the media. Batch experiments study was carried out to determine the optimum removal of UV<sub>254</sub> by Zeliac<sup>TM</sup>. The experimental data were fitted to Langmuir and Freundlich isotherms to investigate the adsorption mechanism. The results from batch study exhibit that Zeliac<sup>TM</sup> is capable to remove 74.4% UV<sub>254</sub> at the dosage of 7g/100 ml. Linear isotherm analysis suggests that the best fitting linear line is Freundlich isotherm with R<sup>2</sup> values of 0.9294 indicating multilayer adsorption. Similarly, non-linear regression analysis reveals that the adsorption of UV<sub>254</sub> by Zeliac<sup>TM</sup> is attributed by physisorption. The non-linear Freundlich isotherm gives a better fit to the adsorption of UV<sub>254</sub> than Langmuir isotherm with R<sup>2</sup> values of 0.9488. The results are supported with low values of X<sup>2</sup>, ARE, HYBRID and MPSED from the error function analysis.&nbsp; Additionally, it is noted that the linear analysis overestimates the constant parameters’ values for Freundlich isotherm, which cause larger errors as estimated by the error function analysis. Hence, non-linear analysis is more appropriate in explaining the batch experiment data.</p>

Improving the Statistical Power and Reliability of Research Using Amazon Mechanical Turk

2021 ◽  
Author(s):  
Jeremiah W Bentley
Keyword(s):  
Quality Control ◽  
Statistical Power ◽  
Low Cost ◽  
Mechanical Turk ◽  
Amazon Mechanical Turk ◽  
Online Platforms

Amazon Mechanical Turk (MTurk) is an increasingly popular source of experimental participants due to its convenience and low cost (relative to traditional laboratories). However, MTurk presents challenges related to statistical power and reliability. These challenges are not unique to MTurk, but are more prevalent than in research conducted with other participant pools. In this paper I discuss several reasons why research conducted with MTurk may face additional power and reliability challenges. I then present suggestions for dealing with these challenges, taking advantage of the comparative strengths of MTurk. The discussion should be of interest to PhD students and other researchers considering using MTurk or other online platforms as a source of experimental participants as well as to reviewers and editors who are considering quality control standards for research conducted with this participant pool.

Predicting Adsorption Behavior in Engineered Floodplain Filtration System Using Backpropagation Neural Networks

2012 ◽  
pp. 179-194 ◽  
Author(s):  
Eldon R. Rene ◽  
Shishir Kumar Behera ◽  
Hung Suck Park
Keyword(s):  
Wastewater Treatment Plants ◽  
Low Cost ◽  
Ann Model ◽  
Knowledge Based ◽  
Water Treatment Process ◽  
Filtration System ◽  
Proper Training ◽  
Potential Alternative ◽  
Artificial Neural Network Ann ◽  
The Times

Engineered floodplain filtration (EFF) system is an eco-friendly low-cost water treatment process wherein water contaminants can be removed, by adsorption and-or degraded by microorganisms, as the infiltrating water moves from the wastewater treatment plants to the rivers. An artificial neural network (ANN) based approach was used in this study to approximate and interpret the complex input/output relationships, essentially to understand the breakthrough times in EFF. The input parameters to the ANN model were inlet concentration of a pharmaceutical, ibuprofen (ppm) and flow rate (md– 1), and the output parameters were six concentration-time pairs (C, t). These C, t pairs were the times in the breakthrough profile, when 1%, 5%, 25%, 50%, 75%, and 95% of the pollutant was present at the outlet of the system. The most dependable condition for the network was selected by a trial and error approach and by estimating the determination coefficient (R2) value (>0.99) achieved during prediction of the testing set. The proposed ANN model for EFF operation could be used as a potential alternative for knowledge-based models through proper training and testing of variables.

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