statistical quality control, the use of statistical methods in the monitoring and maintaining of the quality of products and services. One method, referred to as acceptance sampling, can be used when a decision must be made to accept or reject a group of parts or items based on the quality found in a sample. A second method, referred to as statistical process control, uses graphical displays known as control charts to determine whether a process should be continued or should be adjusted to achieve the desired quality.Statistical process control (SPC) or statistical quality control (SQC) is the application of statistical methods to monitor and control the quality of a production process. This helps to ensure that the process operates efficiently, producing more specification-conforming products with less waste scrap. SPC can be applied to any process where the "conforming product" (product meeting specifications) output can be measured. Key tools used in SPC include run charts, control charts, a focus on continuous improvement, and the design of experiments. An example of a process where SPC is applied is manufacturing lines.
SPC must be practiced in two phases: The first phase is the initial establishment of the process, and the second phase is the regular production use of the process. In the second phase, a decision of the period to be examined must be made, depending upon the change in 5M&E conditions (Man, Machine, Material, Method, Movement, Environment) and wear rate of parts used in the manufacturing process (machine parts, jigs, and fixtures).
An advantage of SPC over other methods of quality control, such as "inspection," is that it emphasizes early detection and prevention of problems, rather than the correction of problems after they have occurred.
In addition to reducing waste, SPC can lead to a reduction in the time required to produce the product. SPC makes it less likely the finished product will need to be reworked or scrapped.
Statistical process control was pioneered by Walter A. Shewhart at Bell Laboratories in the early 1920s. Shewhart developed the control chart in 1924 and the concept of a state of statistical control. Statistical control is equivalent to the concept of exchangeability.
Statistical process control is appropriate to support any repetitive process, and has been implemented in many settings where for example ISO 9000 quality management systems are used, including financial auditing and accounting, IT operations, health care processes, and clerical processes such as loan arrangement and administration, customer billing etc. Despite criticism of its use in design and development, it is well-placed to manage semi-automated data governance of high-volume data processing operations, for example in an enterprise data warehouse, or an enterprise data quality management system.In manufacturing, quality is defined as conformance to specification. However, no two products or characteristics are ever exactly the same.
process monitoring (statistical process control)Bindutesh Saner
Statistical Process Control (SPC) is an industry
standard methodology for measuring and controlling quality during
the manufacturing process. Attribute data (measurements)
is collected from products as they are being produced. By
establishing upper and lower control limits, variations in the
process can be detected before they result in defective product,
entirely eliminating the need for final inspection.
Seven tools of quality control.slideshareraiaryan448
7 tools of quality control help identify potential problem root cause and then target them for improvements and process optimization. These are widely used in all kind of manufacturing industries along with service industry as well.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
Presented at NUS: Fuzzing and Software Security Summer School 2024
This keynote talks about the democratization of fuzzing at scale, highlighting the collaboration between open source communities, academia, and industry to advance the field of fuzzing. It delves into the history of fuzzing, the development of scalable fuzzing platforms, and the empowerment of community-driven research. The talk will further discuss recent advancements leveraging AI/ML and offer insights into the future evolution of the fuzzing landscape.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Automobile Management System Project Report.pdfKamal Acharya
The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
1. MEANING & SIGNIFICANCE OF
STATISTICAL PROCESS CONTROL
[SPC]
Presented by,
JAYA VARATHAN B
SANKARAN S
SARAVANAN J
THANGAVEL S
2. PRESENTATION OUTLINE
• History Of SPC
• Meaning &Significance Of SPC
• SPC in TQM
• SPC in Production
• SPC Process
• Variation-Natural&Assignable
• Using sample in SPC
• Control charts using SPC
• Applying SPC to services
• Advantages of SPC
3. HISTORY OF SPC
Foundation for Statistical Process
Control was laid by Dr.Walter
Shewart
In 1920s conducting research on
methods to improve quality and
lower costs .
Concept of control with regard to
variation, and came up with
Statistical Process Control
Charts.
Today,SPC is used in both
production & services all over the
world.
4. MEANING OF SPC
Method for achieving quality control in
manufacturing processes.
An optimisation philosophy concerned with
continuous process improvements, using a
collection of (statistical) tools for
– data and process analysis
– making inferences about process behaviour
– decision making
It Employs control charts to detect whether
the process obeserved is under control or not.
5. SIGNIFICANCE OF SPC
Detecting error at inspection.
More uniform quality of production.
Reduces inspection costs.
Reduces no of rejects and saves the cost of
material.
Determining the capability of the
manufacturing process.
Once the process is stable, provides process
capability analysis with comparison to product
tolerance.
6. SPC IN TQM
SPC
– Using PDSA CYCLE .
– Tool for identifying problems
and make improvements.
– Contributes to the TQM goal
of continuous improvements.
7. Variation is inherent in every process.
Natural or common causes.
Special or assignable causes.
Four sources of variation - Process, materials,
operators & miscellaneous [ includes
heat,light,radiation and humidity].
Provides a statistical signal when assignable
causes are present.
Detect & eliminate assignable causes of
variation.
SPC IN PRODUCTIONSPC IN PRODUCTION
8. PROCESS IN SPC
Identify measurable atrributes of process
Identify defined process
Characterize natural variation of attributes
Is process
controlled ?
Identify
assignable causes
Track variation Removes
assignable cause
YES
NO
9. NATURAL VARIATION
Common causes
Inherent in a process
Cannot be eliminated
Like difference in operator ,machine vibration,
minor variation in raw materials ...etc;
Output measures follow a probability
distribution
For any distribution there is a measure of central
tendency and dispersion
If the distribution of outputs falls within
10. ASSIGNABLE VARIATION
Special causes
Larger in magnitude and easily traced
Can be eliminated only through improvements
in the system
Like difference among machines,process,
materials, relationship with one another....etc;
When assignable causes are present
Eliminate the bad causes
Incorporate the good causes
11. USING SAMPLES IN SPCUSING SAMPLES IN SPC
To measure the process, we take samples and
analyze the sample statistics following these steps
(a) Samples of the product, say five boxes of cereal
taken off the filling machine line, vary from each
other in weight
Frequency
Weight
#
## #
##
##
#
# # ## # ##
# # ## # ## # ##
Each of these represents
one sample of five boxes of
cereal
12. CONTROL CHARTS USING SPCCONTROL CHARTS USING SPC
Control charts, also known as Shewhart charts
(after Walter A. Shewhart) or process-behavior
charts, in statistical process control are tools used
to determine if a manufacturing or business
process is in a state of statistical control.
13. OBJECTIVES
Be able to explain how control charts relate to
assigned dimension and tolerance
State what value you get from control charts
Be able to name several ways that control
charts indicate that a process is “out of
control”
15. , R AND S CHART
Mean [avg] - Calculated by summing all of the
observations and dividing by the number of
observations.
Range - Measure of the spread of the data, calculated
as highest value minus lowest value
SD -Measure of the spread of a set of data from its
mean, abbreviated:
σ for a population , s for a sample
The standard deviation is the square root of the
variance.
X
X
16. What does the control chart look like?X
- First we measure a number of parts as they come off the
line.
- For eg we might measure 4 parts per hour for 20 hours.
Those 80 parts would give us an overall mean and standard
deviation that would define the control chart.
µ
µ+3σ
µ-3σ
Time
17. Q - How do you know a process is “out of control”?
A – When the data aren’t “normal”
“Out of Control” cues include
- Points outside of control limits (±3σ)
- 8 consecutive points on one side of center line
- 2 of 3 consecutive points outside the 2σ limits
- 4 of 5 points outside the 1 σ limits
- 7 consecutive points trending up or down
20. Defect Prevention
When you see signs that the process is “out of
control” you can look for and fix the causes
before you make bad parts.
The control chart can help you distinguish
between “common cause” & “special cause”
problems.
21.
22.
23. Nature of defect is different in services
Service defect is a failure to meet customer
requirements
Monitor times, customer satisfaction
Applying SPC to Service
24. Applying SPC to Service
Hospitals
timeliness and quickness of care, staff responses to requests,
accuracy of lab tests, cleanliness, courtesy, accuracy of
paperwork, speed of admittance and checkouts
Grocery Stores
waiting time to check out, frequency of out-of-stock items,
quality of food items, cleanliness, customer complaints,
checkout register errors
Airlines
flight delays, lost luggage and luggage handling, waiting time
at ticket counters and check-in, agent and flight attendant
courtesy, accurate flight information, passenger cabin
cleanliness and maintenance
25. ADVANTAGES OF SPC
Improving product quality
Improving productivity
Streamlining process
Reducing wastage
Reducing emissions
Improving customer service, etc.