The document describes a performance system consisting of core pillars and advanced pillars aimed at continuous improvement. The core pillars include: Safety, 5S, Daily Team Maintenance (DTM), Continuous Skills Development (CSD), Focused Improvement (FI), and Planned Maintenance (PM). The advanced pillars build upon the core and include: Quality Management (QM), Production Control (PC), Early Equipment Management (EEM), and New Product Development (NPD). The pillars work together through various methods and goals to reduce losses and improve performance across key areas like safety, quality, costs and lead times.
Top Business Benefits of Application Lifecycle Management (ALM)Imaginet
Why should your business focus on Application Lifecycle Management? What benefits will you see to your overall business? How does ALM impact your bottom line? Come attend this free webinar to discover all the answers!
Quality Management software helps organizations maintain uniformity and consistency in their products and services. It focuses on end-to-end processes, right from the quality of products and services to the activities and means to achieving it and consistently managing it. One such tool is - BM QualityMaster. It allows businesses to improve quality, achieve compliance, decrease risk, and reduce complaints by streamlining their quality management. Check out the PPT to know further-
Software Testing Process, Testing Automation and Software Testing TrendsKMS Technology
This is the slide deck that KMS Technology's experts shared useful information about latest and greatest achievements of software testing field with lecturers of HCMC University of Industry.
ARENA - Prof Hernan Huwyler - Debate Is Machine Learning Mature Enough?Hernan Huwyler, MBA CPA
I am excited to discuss how organizations need to be prepared before implementing machine learning with Jason Maude at the Machine Learning in Financial Services event hosted by Arena International Events Group (June 30, online). We will provide recommendations to develop the conditions to successfully implement artificial intelligence projects. Thanks to Rebecca Mayoh for the event coordination.
Join here https://lnkd.in/ec6qP4A
#machinelearning #compliance
Top Business Benefits of Application Lifecycle Management (ALM)Imaginet
Why should your business focus on Application Lifecycle Management? What benefits will you see to your overall business? How does ALM impact your bottom line? Come attend this free webinar to discover all the answers!
Quality Management software helps organizations maintain uniformity and consistency in their products and services. It focuses on end-to-end processes, right from the quality of products and services to the activities and means to achieving it and consistently managing it. One such tool is - BM QualityMaster. It allows businesses to improve quality, achieve compliance, decrease risk, and reduce complaints by streamlining their quality management. Check out the PPT to know further-
Software Testing Process, Testing Automation and Software Testing TrendsKMS Technology
This is the slide deck that KMS Technology's experts shared useful information about latest and greatest achievements of software testing field with lecturers of HCMC University of Industry.
ARENA - Prof Hernan Huwyler - Debate Is Machine Learning Mature Enough?Hernan Huwyler, MBA CPA
I am excited to discuss how organizations need to be prepared before implementing machine learning with Jason Maude at the Machine Learning in Financial Services event hosted by Arena International Events Group (June 30, online). We will provide recommendations to develop the conditions to successfully implement artificial intelligence projects. Thanks to Rebecca Mayoh for the event coordination.
Join here https://lnkd.in/ec6qP4A
#machinelearning #compliance
While everyone is quick to jump onto the Machine Learning trend, is it really safe to implement within the financial services sector with so many issues surrounding the regulatory and ethical side of utilizing machines to make human decisions?
Overcoming the issues faced when explaining outcomes that may be discriminatory which can damage a company’s reputation
Is Machine Learning really needed to automate financial processes or does the negativity around ethical considerations enough to reconsider?
Can regulatory bodies ever be confident enough in the decisions made by the machines to allow ML to really progress in financial services?
Looking towards ensuring transparency in the models decision making process to determine if it is suitable for deployment in financial decisions
Mike Marshall, PE (mtmarshall.llc@gmail.com) is an Oil & Gas industry consultant who has recently developed an EAM loss prevention and asset optimization software product derived from various spreadsheet-based tools (consisting of business methods, practices, KPIs, scorecards, reports, data maps/views, etc.) which were central to the actual asset performance optimization/management and process safety improvement metrics and methodologies he implemented while working for both Marathon (23 years) and Chevron (10 years).
If not tackled head on, early and often 'Technical Debt' will quickly pick up and slow delivery of new products and features down. But where do we start to tackle debt and avoid the product credit crunch? Clear choices can only be informed through common understanding, mutual agreement, rules, and appropriate automation and metrics. Presenting some experiences of how to view and manage debt to create product ecosystems that that thrive.
In order to provide reliable, safe and secure Data Centre and mission critical facilities, certain practices must be instituted and enforced. This document establishes basic standards and procedures centrally managed Data Centre for any of private organization both owned and leased, along with other mission critical support facilities. These procedures apply to all authorized employees as well as authorized business partners.
Identifying and managing asset reliability risks that could adversely affect plant or business operations. Primary role is to find out loss elimination, risk management and life cycle asset management
Questions for successful test automation projectsDaniel Ionita
Test automation is not only about coding. Successful test automation involves critical thinking and clarity of objectives before actually beginning development. This material provides guidance in putting some of the right questions and how to think as for having an efficient and effective test automation in the context of your project.
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
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/
While everyone is quick to jump onto the Machine Learning trend, is it really safe to implement within the financial services sector with so many issues surrounding the regulatory and ethical side of utilizing machines to make human decisions?
Overcoming the issues faced when explaining outcomes that may be discriminatory which can damage a company’s reputation
Is Machine Learning really needed to automate financial processes or does the negativity around ethical considerations enough to reconsider?
Can regulatory bodies ever be confident enough in the decisions made by the machines to allow ML to really progress in financial services?
Looking towards ensuring transparency in the models decision making process to determine if it is suitable for deployment in financial decisions
Mike Marshall, PE (mtmarshall.llc@gmail.com) is an Oil & Gas industry consultant who has recently developed an EAM loss prevention and asset optimization software product derived from various spreadsheet-based tools (consisting of business methods, practices, KPIs, scorecards, reports, data maps/views, etc.) which were central to the actual asset performance optimization/management and process safety improvement metrics and methodologies he implemented while working for both Marathon (23 years) and Chevron (10 years).
If not tackled head on, early and often 'Technical Debt' will quickly pick up and slow delivery of new products and features down. But where do we start to tackle debt and avoid the product credit crunch? Clear choices can only be informed through common understanding, mutual agreement, rules, and appropriate automation and metrics. Presenting some experiences of how to view and manage debt to create product ecosystems that that thrive.
In order to provide reliable, safe and secure Data Centre and mission critical facilities, certain practices must be instituted and enforced. This document establishes basic standards and procedures centrally managed Data Centre for any of private organization both owned and leased, along with other mission critical support facilities. These procedures apply to all authorized employees as well as authorized business partners.
Identifying and managing asset reliability risks that could adversely affect plant or business operations. Primary role is to find out loss elimination, risk management and life cycle asset management
Questions for successful test automation projectsDaniel Ionita
Test automation is not only about coding. Successful test automation involves critical thinking and clarity of objectives before actually beginning development. This material provides guidance in putting some of the right questions and how to think as for having an efficient and effective test automation in the context of your project.
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
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/
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.
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdfKamal Acharya
The College Bus Management system is completely developed by Visual Basic .NET Version. The application is connect with most secured database language MS SQL Server. The application is develop by using best combination of front-end and back-end languages. The application is totally design like flat user interface. This flat user interface is more attractive user interface in 2017. The application is gives more important to the system functionality. The application is to manage the student’s details, driver’s details, bus details, bus route details, bus fees details and more. The application has only one unit for admin. The admin can manage the entire application. The admin can login into the application by using username and password of the admin. The application is develop for big and small colleges. It is more user friendly for non-computer person. Even they can easily learn how to manage the application within hours. The application is more secure by the admin. The system will give an effective output for the VB.Net and SQL Server given as input to the system. The compiled java program given as input to the system, after scanning the program will generate different reports. The application generates the report for users. The admin can view and download the report of the data. The application deliver the excel format reports. Because, excel formatted reports is very easy to understand the income and expense of the college bus. This application is mainly develop for windows operating system users. In 2017, 73% of people enterprises are using windows operating system. So the application will easily install for all the windows operating system users. The application-developed size is very low. The application consumes very low space in disk. Therefore, the user can allocate very minimum local disk space for this application.
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About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
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.
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.
Quality defects in TMT Bars, Possible causes and Potential Solutions.PrashantGoswami42
Maintaining high-quality standards in the production of TMT bars is crucial for ensuring structural integrity in construction. Addressing common defects through careful monitoring, standardized processes, and advanced technology can significantly improve the quality of TMT bars. Continuous training and adherence to quality control measures will also play a pivotal role in minimizing these defects.
2. Safety
• Safety is the foundation of the performance
system that engages all associates in the
uncompromising pursuit of zero incidents.
What
• Foundation that signals the individuals’
personal well-being comes first, and from there
creates the elements for a high performance
work environment.
Role in the System
• All associates
Who
• Zero incidents, high morale, 100% associate
engagement, trust between associates and
management
Deliverables How
• Total associate ownership
• Hazards, risks identified
• Steering committees
• Sub-committees
• Use of continuous
improvement tools and
methods
• Management as a
resource and coach
3. Daily Team Maintenance
• DTM provides operators with the knowledge
and skills required to proactively prevent
breakdowns and waste caused by
accelerated equipment deterioration and
abnormalities.
What
• Improved reliability and stability, setting
foundation for other pillar improvements
Role in the System
• Operators, technicians, maintenance,
production leadership
Who
• Reduction in minor stops, breakdowns,
changeover time
Deliverables
How
• 0: Prepare for Restoration
• 1: Restore, Inspect, Understand
• 2: Identify Deterioration & Implement
Solutions
• 3: Establish Cleaning & Lubrication
Standards
• 4: Train Operators to Detect/Correct
Abnormalities
• 5: Apply Practical Application of Methods
• 6: Standardize DTM Throughout the
Location
• 7: Continuously Improve the Process
4. 5S
• Process used to organize and maintain the
workplace environment in order to improve
efficiency and safety, reduce waste, and
eliminate non-value added activities.
What
• Foundational process which establishes the
expectations of discipline and overall
engagement
Role in the System
• All associates
Who
• Improved safety, reduction in non-value
added activities
Deliverables
How
•Model areas
•Separate
•Simplify
•Systematize
•Standardize
•Sustain
5. Continuous Skills Development
• A standardized training process to ensure
our associates are doing things the right
things, the right way, every single time.
What
• Decrease variation within the production
systems attributed to training opportunities
Role in the System
• All associates
Who
• Reduction in process variation, turnover,
and overall training spend
Deliverables How
• Model areas
• Skills element tree
• Skills assessment
• Associate certification
• Re-training process
• Individual
performance
measurement
6. Focused Improvement
• FI provides a logical thinking process which
identifies root causes of opportunities in
order to reduce / eliminate losses.
What
• FI Planning and FI projects direct and then
generate resources to fund the performance
system while improving capability of
processes, people and reducing loss
Role in the System
• Operators, technicians, maintenance, process
improvement leadership, engineering
Who
• Reduction in targeted loss areas, increase in
problem-solving confidence
Deliverables
How
• Project approach
following the DMAIC
methodology
•Define
•Measure
•Analyze
•Improve
•Control (and replicate)
7. Planned Maintenance
• Combination of preventive, predictive, and
zero failure activities. Oversees
maintenance schedule, processes, and
activities to prevent breakdowns before they
occur instead of repairing them after the fact
What
• Foundation for reliability and continuous
improvement
Role in the System
• Maintenance technicians, maintenance
leadership, engineering
Who
• Reduction in breakdowns and spare parts
spend
Deliverables
How
•DTM support
•Lubrication management
•Spare parts management
•Predictive maintenance
•Cost management
•Preventive maintenance
•Skills enhancement
•Zero failure activities
9. Production Control
How
• 7 Step process
•Value stream mapping
•Waste walks
•Improvement projects
•Layered audits
•Demand planning
•Skills enhancement
•Zero failure activities
• Reduce overall system cost through the
elimination of waste identified within the
system. To align the business offering with
manufacturing execution.
What
• Maximization of the velocity of information
and material flow through the process/system.
Role in the System
• Supply chain, production leadership,
operators, technicians, suppliers, customers
Who
• Improve working capital/inventory, variable
conversion cost, capacity utilization, floor
space availability, inventory optimization
Deliverables
10. Quality Management
How
• 10-Step QM project
implementation
•model project on model
equipment defect
• A systematic methodology to achieve zero
quality defects (not just fewer defects) by
systematically seeking out, identifying, and
eliminating root causes of ALL defects.
What
• Take processes beyond reliability to capability
and the quality process from compliance to
assurance
Role in the System
• Operators, maintenance, quality assurance,
quality leadership
Who
• Reduction in defects, yield loss, waste
Deliverables
11. Early Equipment Management
• To “design out” losses related to
equipment start-up before they occur by
utilizing existing measurement data &
learnings.
What
• Improved reliability and stability, setting
foundation for other pillar improvements
Role in the System
• Operators, technicians, maintenance,
production leadership, engineering
Who
• Reduction in start-up time, losses and
costs
Deliverables
How
• concept and equipment
planning
• equipment design
• manufacture equipment
• preliminary testing
• install equipment
• commission new
equipment
• full production
implementation
12. New Product Development
• Cross-functional activity to provide a
continuous flow of innovative, new products
What
• To ensure a robust stream of new products
into the system that creates value for the
company and customer
Role in the System
• Customers, suppliers, business, research,
manufacturing, supply chain
Who
• Shortened delivery cycle, high quality zero
loss start-ups, meet/beat targeted costs,
100% on-time delivery
Deliverables
How
• 6 Step Process
• Discovery & concept
development
• Product design requirements
• Design for manufacturing
• Adoption & launch
• Scale-up &
commercialization
14. Energy
Inventory
Obsolescence
Quality / reworks
Waste
Training
Inspection & Testing
Material Handling
Planning
PM & Cleaning Downtime
Speed Loss
Minor Stops
Start-up / shut down
Change time
Breakdowns
NPD
EEM
PC
QM
PM
FI
CSD
DTM
5S
Energy
Inventory
Obsolescence
Quality /
Waste
Training
Inspection & Testing
Material Handling
Planning
PM & Cleaning Downtime
Speed Loss
Minor Stops
Start-up / shut down
Change time
Breakdowns
5S
Some impact
Some impact Medium impact
Medium impact Major impact
Major impact Future impact
Future impact
Pillar to Loss Relationship Matrix