Promo_Epc project rule of credit and progress measurement ignitetribes
Project progress monitoring and control is one of the most important tasks of construction project management. Many times planner or project manager not able.The hardest part of project controls is accurate performance measurement of work accomplished.
Taking time out to establish repeatable rules of credit can literally remove 75% of the performance measurement "guessing game" out of the equation.
In this book we don't just explain on what is rule of credit but we also provide tonnes of examples on how to establish the weighted milestone. It's a ready to be plug and plan in your project control measurement.
Log in to ignitetribes.com to purchase the book.
Epc project interdepency and Work Flow- promoignitetribes
Engineering, Procurement and Construction are highly correlated and set precedence against each other. They are very interdependent and these dependencies become increasingly critical as the phases are overlapped. In this module we share the interdependence of Engineering - Procurement and the influence in Construction. Here we touch a bit on work front monitoring and work face planning.
Promo_Epc project rule of credit and progress measurement ignitetribes
Project progress monitoring and control is one of the most important tasks of construction project management. Many times planner or project manager not able.The hardest part of project controls is accurate performance measurement of work accomplished.
Taking time out to establish repeatable rules of credit can literally remove 75% of the performance measurement "guessing game" out of the equation.
In this book we don't just explain on what is rule of credit but we also provide tonnes of examples on how to establish the weighted milestone. It's a ready to be plug and plan in your project control measurement.
Log in to ignitetribes.com to purchase the book.
Epc project interdepency and Work Flow- promoignitetribes
Engineering, Procurement and Construction are highly correlated and set precedence against each other. They are very interdependent and these dependencies become increasingly critical as the phases are overlapped. In this module we share the interdependence of Engineering - Procurement and the influence in Construction. Here we touch a bit on work front monitoring and work face planning.
This webinar discussed the purpose of data analytics and how it can be a light in the darkness for your organization to make better decisions for the future. The webinar covered the purpose of data analysis and its definition, the fundamental steps to take to perform data analysis to problem solve, and closed with next steps that attendees can take to further develop data analysis and business intelligence within their organizations.
During this webinar, attendees learned about the following:
- How data analytics functions to help your organization improve.
- The process for using data analytics to solve problems.
- Next steps to take to build data analysis within your organization.
Experiences with Data Feedback - Better Software 2004 - Ben LindersBen Linders
Good data feedback of software measurements is critical when analyzing measurement data, for drawing conclusions, and as the basis for taking action. Feedback to those involved in the activities being measured helps validate the data as well. In this presentation Ben Linders shows examples of how Ericsson Telecommunications delivers feedback at two levels: projects and the total development center. Although the basics are similar, the application differs, and the key success factors depend on the level and the audience. At the project level, you will see how the team reviews defect data, including defect classifications and test matrices. For development center feedback, you will see how line management and technical engineers review data and analyze information based on a balanced score card approach with measurable goals. Finally, Ben Linders shows examples, data summaries, and suggested action items that management teams from the project and development center levels review.
• Techniques used in data feedback reporting and key success factors
• Close the feedback loop with different levels in the organization
• Human factors that play a role in feedback sessions
n every interview , the interviewer basically ask about six sigma and importance of it, You can search Google and understand the purpose of six sigma , definition of six sigma but you stuck while talking about DMAIC, primarily when interviewer ask in which phase what tool to be used. Here We go to simplify your all questions.
SUBJECT: SOCIO EDUCATIONAL PROJECT
TUTOR: DR. MIGUEL PONCE
THEME: PART III. PROJECT EVALUATION
STUDENTS:
MONTESDEOCA BENITEZ DIANA PRISCILA
PACHACAMA SIMBAÑA DAYSI ALEXANDRA
Simple demonstration for the PDCA tool that was popularized by Edwards Deming as a continuous quality improvement tool.
Deming has credited Walter Shewhart (American physicist, engineer and statistician) for inventing the tool
Total Quality Management_module 4_18ME734.pptxRoopaDNDandally
Module - 4
Continuous Process Improvement: process, the Juran trilogy, improvement strategies, types of problems, the PDSA Cycle, problem-solving methods, Kaizen, reengineering, six sigma, case studies.
Statistical Process Control : Pareto diagram, process flow diagram, cause and effect diagram, check sheets, histograms, statistical fundamentals, Control charts, state of control, out of control process, control charts for variables, control charts for attributes, scatter diagrams, case studies
A3 Thinking:
A3 thinking is a structured technique of working through problems or opportunities for improvement. The ‘A3’ itself is literally just that: a piece of A3 paper summarising the logical thought processes that have been agreed by the team in defining the opportunity for improvement or solving the problem they face.
This webinar discussed the purpose of data analytics and how it can be a light in the darkness for your organization to make better decisions for the future. The webinar covered the purpose of data analysis and its definition, the fundamental steps to take to perform data analysis to problem solve, and closed with next steps that attendees can take to further develop data analysis and business intelligence within their organizations.
During this webinar, attendees learned about the following:
- How data analytics functions to help your organization improve.
- The process for using data analytics to solve problems.
- Next steps to take to build data analysis within your organization.
Experiences with Data Feedback - Better Software 2004 - Ben LindersBen Linders
Good data feedback of software measurements is critical when analyzing measurement data, for drawing conclusions, and as the basis for taking action. Feedback to those involved in the activities being measured helps validate the data as well. In this presentation Ben Linders shows examples of how Ericsson Telecommunications delivers feedback at two levels: projects and the total development center. Although the basics are similar, the application differs, and the key success factors depend on the level and the audience. At the project level, you will see how the team reviews defect data, including defect classifications and test matrices. For development center feedback, you will see how line management and technical engineers review data and analyze information based on a balanced score card approach with measurable goals. Finally, Ben Linders shows examples, data summaries, and suggested action items that management teams from the project and development center levels review.
• Techniques used in data feedback reporting and key success factors
• Close the feedback loop with different levels in the organization
• Human factors that play a role in feedback sessions
n every interview , the interviewer basically ask about six sigma and importance of it, You can search Google and understand the purpose of six sigma , definition of six sigma but you stuck while talking about DMAIC, primarily when interviewer ask in which phase what tool to be used. Here We go to simplify your all questions.
SUBJECT: SOCIO EDUCATIONAL PROJECT
TUTOR: DR. MIGUEL PONCE
THEME: PART III. PROJECT EVALUATION
STUDENTS:
MONTESDEOCA BENITEZ DIANA PRISCILA
PACHACAMA SIMBAÑA DAYSI ALEXANDRA
Simple demonstration for the PDCA tool that was popularized by Edwards Deming as a continuous quality improvement tool.
Deming has credited Walter Shewhart (American physicist, engineer and statistician) for inventing the tool
Total Quality Management_module 4_18ME734.pptxRoopaDNDandally
Module - 4
Continuous Process Improvement: process, the Juran trilogy, improvement strategies, types of problems, the PDSA Cycle, problem-solving methods, Kaizen, reengineering, six sigma, case studies.
Statistical Process Control : Pareto diagram, process flow diagram, cause and effect diagram, check sheets, histograms, statistical fundamentals, Control charts, state of control, out of control process, control charts for variables, control charts for attributes, scatter diagrams, case studies
A3 Thinking:
A3 thinking is a structured technique of working through problems or opportunities for improvement. The ‘A3’ itself is literally just that: a piece of A3 paper summarising the logical thought processes that have been agreed by the team in defining the opportunity for improvement or solving the problem they face.
1. MISSION STATEMENT
The Product Development effort supports the following guidelines of the Quality Policy
of Joe Kalchbrenner. Commitment to Continuous Improvement of product, process,
and service is the ultimate goal to provide the best value to the customer.
Engineering Management Of Existing And New Product Development
Whatever it takes to get the job done... Within the constraints of the resources available
at hand and the budget of time and $s allocated for the given task.
The Methodology
The methodology of Continuous Improvement is based on:
1) Knowledge of existing systems... know where you are!
2) Following a plan for problem solving... know where you want to go!
Existing Systems
These systems are to be studied, characterized and finger-printed with statistically
significant information which correlates to value for the customer.
The Plan
The plan is an eight-step problem solving process.
A. Problem Collection - brainstorm, clarify, list, prioritize.
B. Problem Selection - write problem statement and objectives.
C. Identify Data To Collect - what can and should be measured?
D. Collecting And Analyzing Data - level of statistical analysis required.
E. Problem Cause Analysis - brainstorm, ask why, verify root causes.
F. Solution Selection - brainstorm, statistical significance exists to inputs.
G. Trial Test - plan / conduct / evaluate.
H. Implementation And Tracking - plan, track, measure, present results.
JCK
7/13/93 to Present