Search Results: 'Schedule Analysis'

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20 results for "Schedule Analysis"
Problem on scheduling and network analysis By Homework Help Classof1
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"(1) Create an Activity-on-Node network diagram (use Microsoft Visio or some other graphics tool). (2) Calculate and state the ES (early start), LS (late start), EF (early finish), and LF (late... More > finish) values (place into the diagram). (3) Calculate and state the Total Slack values for each activity (place into the diagram). (4) What is the critical path? (5) What is the projected project end date? (6) If the Load Firmware activity (i.e., Activity 6) duration increases to 11 days, does this change the project end date? Why? If so, what is the new end date? "< Less
Preparation of a schedule showing a vertical analysis By Homework Help Classof1
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(1 Ratings)
Preparing a schedule showing a vertical analysis for two years analyzing the Financial Statements prepared
Preparation of a schedule showing a horizontal analysis By Homework Help Classof1
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Preparing a schedule showing a horizontal analysis for two years analyzing the Financial Statements prepared.
Earned Schedule By Walter H. Lipke
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This book is intended for those who use Earned Value Management (EVM), including project managers, engineers and performance analysts. Earned Schedule (ES) is a significant enhancement to EVM,... More > extending its cost-based features to the management and control of schedule performance. By using ES and EVM together, project management of cost and schedule can now be treated in a truly integrated sense. The book builds from the fundamentals of EVM to derive the concept of ES. The performance measurement baseline and earned value from EVM are utilized to extract time-based performance measures, indicators, and predictors. From this foundation, complexity is incrementally added with descriptions and examples for performance analysis, prediction and project control. Specific features of ES useful to project management are included and illustrated for the following: forecasting of completion date, analysis of critical path, drill-down identification of process constraints, impediments, and areas of concern for rework.< Less
Earned Schedule By Walter H. Lipke
eBook (PDF): $13.99
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This book is intended for those who use Earned Value Management (EVM), including project managers, engineers and performance analysts. Earned Schedule (ES) is a significant enhancement to EVM,... More > extending its cost-based features to the management and control of schedule performance. By using ES and EVM together, project management of cost and schedule can now be treated in a truly integrated sense. The book builds from the fundamentals of EVM to derive the concept of ES. The performance measurement baseline and earned value from EVM are utilized to extract time-based performance measures, indicators, and predictors. From this foundation, complexity is incrementally added with descriptions and examples for performance analysis, prediction and project control. Specific features of ES useful to project management are included and illustrated for the following: forecasting of completion date, analysis of critical path, drill-down identification of process constraints, impediments, and areas of concern for rework.< Less
Earned Schedule By Walter H. Lipke
Paperback: $36.04
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(1 Ratings)
This book is intended for those who use Earned Value Management (EVM), including project managers, engineers and performance analysts. Earned Schedule (ES) is a significant enhancement to EVM,... More > extending its cost-based features to the management and control of schedule performance. By using ES and EVM together, project management of cost and schedule can now be treated in a truly integrated sense. The book builds from the fundamentals of EVM to derive the concept of ES. The performance measurement baseline and earned value from EVM are utilized to extract time-based performance measures, indicators, and predictors. From this foundation, complexity is incrementally added with descriptions and examples for performance analysis, prediction and project control. Specific features of ES useful to project management are included and illustrated for the following: forecasting of completion date, analysis of critical path, drill-down identification of process constraints, impediments, and areas of concern for rework.< Less
Spider Project - EP By Marcus Possi
Hardcover: $60.00
Ships in 6-8 business days.
Reference tool for Project management, solving resource constraint schedules and other analysis.
OTREC-RR-12-09 By Miguel Figliozzi et al.
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A healthy and efficient transit system is indispensable to reduce congestion, emissions, energy consumption, and car use in urban areas. This research aims to develop methods to evaluate and... More > visualize bus service reliability for transit agencies; identify the unreliability trends of bus routes to understand their causes and effects; and model service times using linear regression models. Six months of vehicle location and passenger count data from a low-performance route in Portland was used for this research. Route 15 has experienced problems with schedule adherence and headway regularity. We developed methods to summarize causes of bus bunching, first determining the frequency of each cause. Next we demonstrated how results change using varying difficulty levels of bus bunching thresholds. Finally we investigated how results vary in different areas. This research also developed new ways to summarize and visualize vast amounts of bus route data in an insightful and intuitive manner.< Less
OTREC-RR-12-09 By Miguel Figliozzi et al.
Paperback: $5.44
Ships in 3-5 business days
A healthy and efficient transit system is indispensable to reduce congestion, emissions, energy consumption, and car use in urban areas. This research aims to develop methods to evaluate and... More > visualize bus service reliability for transit agencies; identify the unreliability trends of bus routes to understand their causes and effects; and model service times using linear regression models. Six months of vehicle location and passenger count data from a low-performance route in Portland was used for this research. Route 15 has experienced problems with schedule adherence and headway regularity. We developed methods to summarize causes of bus bunching, first determining the frequency of each cause. Next we demonstrated how results change using varying difficulty levels of bus bunching thresholds. Finally we investigated how results vary in different areas. This research also developed new ways to summarize and visualize vast amounts of bus route data in an insightful and intuitive manner.< Less
A Time Estimation Approach for Software Projects By Darren Pruitt
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This paper explains how to use Function Point Analysis to estimate the project size, the work effort involved and generate an initial project schedule. It also explains the need to maintain... More > historical project metrics and how to apply them to improve software size and schedule estimations.< Less