Earned Schedule and the Use of Schedule Execution Reporting Metrics

2018 ◽  
Author(s):  
Philip J. Beck ◽  
Dennis Kovacs
Keyword(s):  
Performance Index ◽  
Critical Path ◽  
Project Performance ◽  
Value Management ◽  
Earned Value ◽  
Past Performance ◽  
Earned Value Management ◽  
Time Element ◽  
Schedule Performance ◽  
Schedule Execution

The traditional approach of managing project performance is with the use of Earned Value Management. There is a recent trend towards the expansion of traditional Earned Value Management practices to include the concept of Earned Schedule. Whereas Earned Value provides insight as to how the project is trending in relation to the plan by assessing cost and schedule variances, Earned Schedule focuses on the time element of schedule performance throughout the project execution phase. Earned Value, although very effective at providing visibility to cost performance, is not as transparent when it comes to schedule performance over time. Case in point, at completion, irrespective as to how work progressed on the schedule (ahead or behind plan) at completion, the schedule performance index will always be 1.0. Earned Schedule overcomes this drawback, providing useful tools to report on schedule performance, and providing visibility to the project state from which to base informed decisions. To perform the analysis, Earned Schedule analysis incorporates detail from the baseline and forecast schedules as well as the integrated project management cost report (earned versus planned). In addition to looking at Earned Schedule metrics, other key metrics are factored into this approach to assess overall schedule performance. Key metrics derived from the schedule and highlighted in this approach include: • Critical Path Length Index (CPLI) • Baseline Execution Index (BEI) • Total Float Consumption Index (TFCI) • To Complete Schedule Performance Index (TSPI) • Predicted Forecast Finish Date (PFFD) • Schedule Performance Index (time) (SPIt) • Independent Estimate At Complete (time) (IEACt) The intent of these metrics is to identify trends and assist in predicting project outcomes based on past performance. Since this approach is highly dependent on the schedule data, the more compliant a schedule is to industry best practices the better the quality of the results. The metrics are negatively impacted by recent re-baselining as this causes us to lose historical performance detail. Frequent analysis of the schedule execution reporting metrics defined above provides transparency of project performance and brings visibility to early risk triggers in support of a proactive approach to project execution monitoring and control. This paper will present a case study demonstrating how additional transparency through this approach highlighted a potential schedule risk. This increased visibility allowed the project team to reprioritize and implement proactive corrective actions to mitigate any potential impact to the project In Service Date (ISD).

scholarly journals An Investigation into the Use of Laney U Chart as a Visual Schedule Tracker to Graphically Monitor the Schedule Performance Index

2020 ◽  
Vol 10 (1) ◽  
pp. 35-41
Author(s):  
Jayet Moon
Keyword(s):  
Performance Index ◽  
Control Charts ◽  
Value Management ◽  
Project Schedule ◽  
Earned Value ◽  
Earned Value Management ◽  
Cost Performance ◽  
Schedule Risk ◽  
Schedule Performance ◽  
Visual Schedule

AbstractThe intent of this article is to explore a mathematically sound method to graphically monitor schedule performance index (SPI) such that it enables the project manager to take objective data based decisions regarding the progress of the project schedule. The article aims to leverage the theory and application of control charts, specifically the U chart and Laney U chart and test its applicability to earned value management by trending schedule performance index on a time series chart. Off the shelf software, MinitabTM was used to generate the control charts based on earned value and planned value. While this paper proves that the Laney U chart, with correct interpretation, acts as an effective trigger-based tool for schedule risk management, it also generates further avenues for research into similar use of control charts for cost performance and other quality indices.

scholarly journals A Matrix Model for Effective of Project Management

2017 ◽  
Vol 5 (2) ◽  
Author(s):  
Samuel Y. Ruan ◽  
Yuan-Ho Chen
Keyword(s):  
Performance Assessment ◽  
Performance Index ◽  
Conversion Rate ◽  
Project Performance ◽  
Project Managers ◽  
Assessment Model ◽  
Value Management ◽  
Earned Value ◽  
Earned Value Management ◽  
And Control

For earned value management (EVM), when an organization attaches nonequal importance to the schedule performance index (SPI) and cost performance index (CPI) of a project, a nonequal-weighted conversion rate between the SPI and CPI is formed. This study employed EVM to integrate SPIs and CPIs to establish a matrix project performance assessment model with a nonequal-weighted conversion rate between the SPI and CPI. This model improves the disadvantages of conventional performance assessment models and enables project managers to simultaneously monitor and control the costs and schedules of their projects. The results provide a practical project performance assessment model for various industries and a basis for developing a project performance assessment information system, thus confirming the practicality and applicability of this study. 

Project control and forecast assessment of building projects in Pakistan using earned value management

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hafiz Zahoor ◽  
Rashid Mehmood Khan ◽  
Ahsan Nawaz ◽  
Muhammad Ayaz ◽  
Ahsen Maqsoom
Keyword(s):  
Current Status ◽  
Value Management ◽  
Earned Value ◽  
Earned Value Management ◽  
Building Projects ◽  
Content Type ◽  
Similar Work ◽  
Progress Reporting ◽  
Schedule Performance ◽  
Under Construction

PurposeEarned Value Management (EVM) is widely used as a project performance measurement and forecasting technique. Nonetheless, it has not been fully explored in Pakistani construction industry; where conventional progress reporting methodology (CPRM) is being followed having certain confines. It reports only the financial progress of a project, expresses feeble association between the duration and cost of activities, and forecasts flawed schedule and completion cost. This research implements EVM on under-construction building projects in Pakistan, and compares its upshots with the projects' actual records and with the outcomes of CPRM.Design/methodology/approachTo assess the implementation of EVM on building projects, a set of specific criteria was established. Work Breakdown Structure, Organization Breakdown Structure and Control Points were established. The study has compared the EVM metrics with CPRM outcomes on three under-study building projects, and has deliberated on their mutual differences as well as their relationship with actual cost and schedule performance. Monthly figures of actual spending and completed activities were periodically recorded and compared with planned values for status indication. The graphs were generated to observe the correlation between the results of EVM and CPRM. The data was then extrapolated to forecast the schedule and cost values at completion.FindingsThe study discovered that trends of EVM in quantifying the project's cost and schedule performance were strongly correlated and were closer to the actual progress. It has also verified the EVM's soundness in forecasting the cost and schedule, required for project's completion. Contrarily, CPRM metrics could not precisely visualize the current and future, cost and schedule performance.Originality/valueThe case study concludes that EVM's incorporation in progress reporting regime can revolutionize the assessment procedures in Pakistan by rightly indicating the project's current status as well as visualizing the future performance. The study's methodology can also be extrapolated in other countries having similar work environment and economic conditions.

scholarly journals Predicting Earned Value Indexes in Residential complexes’ Construction Projects Using Artificial Neural Network Model

2020 ◽  
Author(s):  
ibraheem Aidan ◽  
Firas Jaber ◽  
Duaa Al-Jeznawi ◽  
Faiq Al-Zwainy
Keyword(s):  
Performance Index ◽  
Construction Projects ◽  
Historical Data ◽  
Performance Indicator ◽  
Residential Buildings ◽  
Great Accuracy ◽  
Value Management ◽  
Earned Value ◽  
Earned Value Management ◽  
Cost Performance

The importance of this study may be defined by using the smart techniques to earned value indicators of residential buildings projects in Republic of Iraq, only one development intelligent forecasting model was presented to predict Schedule Performance Index (SPI), Cost Performance Index (CPI), and To Complete Cost Performance Indicator (TCPI) are defined as the dependent. The approach is principally influenced by the determining numerous factors which effect on the earned value management, that involves Iraqi historical data. In addition, six independent variables (F1: BAC, Budget at Completion., F2: AC, Actual Cost., F3, A%, Actual Percentage., F4: EV, Earned Value. F5: P%, Planning Percentage., and F6: PV, Planning Value) were arbitrarily designated and satisfactorily described for per construction project. It was found that ANN has the capability to envisage the dust storm with a great accuracy. The correlation coefficient (R) has been 90.00%, and typical accuracy percentage has been 89.00%.

scholarly journals Challenges of Earned Value Management- Application in Indian Construction Industry

2019 ◽  
Vol 8 (2) ◽  
pp. 733-735
Keyword(s):  
Construction Industry ◽  
Questionnaire Survey ◽  
Project Performance ◽  
Good News ◽  
Value Management ◽  
Earned Value ◽  
Earned Value Management ◽  
Cost Variance ◽  
Management Application ◽  
Structured Questionnaire

The predominant goal of a construction industry is to cessation the projects on schedule and within the budget, with proper usance of all the resources. But most of the project runs over budget, lagging behind the schedule. Earned value management (EVM) is one of the techniques to overcome the issues related to the schedule and budget. EVM helps to track the project performance by delivering the schedule variance, cost variance and their performance index. The objective of this study is to survey the challenges in applying earned value management to the ongoing projects in the Indian construction industry. After, conducting structured questionnaire survey and interviews some of the challenges in application of EVM were recognized. Depending on the personal comments given by different construction managers nine of challenges are observed and each of them is briefly discussed. Financing and late payment of the completed work, pressures to report only good news and inaccurate assessment of project time are the top rated challenges gleaned from the study. The personal interviews reveal that lacking in using earned value management software is the major cause with 55% responses

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