scholarly journals Prediction of concurrent keypeck treadle-press responding from simple schedule performance

1978 ◽  
Vol 6 (4) ◽  
pp. 444-450 ◽  
Author(s):  
Frances K. McSweeney
Keyword(s):  
Simple Schedule ◽  
Schedule Performance

Concurrent schedule performance in domestic goats: persistent undermatching

1997 ◽  
Vol 40 (3) ◽  
pp. 231-237 ◽  
Author(s):  
T.Mary Foster ◽  
Lindsay R. Matthews ◽  
William Temple ◽  
Alan Poling
Keyword(s):  
Concurrent Schedule ◽  
Schedule Performance

Effects of clonidine on progressive ratio schedule performance in Fmr1 knockout mice

2021 ◽  
Author(s):  
Craige C. Wrenn ◽  
Eric French ◽  
Dustin Baker ◽  
Randall McCallian ◽  
Ryan Kirk ◽  
...  
Keyword(s):  
Knockout Mice ◽  
Progressive Ratio ◽  
Ratio Schedule ◽  
Progressive Ratio Schedule ◽  
Schedule Performance

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 Stimulus devaluation and extinction of chain schedule performance

1995 ◽  
Vol 23 (1) ◽  
pp. 104-114 ◽  
Author(s):  
Ben A. Williams ◽  
Bertram O. Ploog ◽  
Matthew C. Bell
Keyword(s):  
Chain Schedule ◽  
Schedule Performance

scholarly journals Risk Level Assessment in Construction Projects Using the Schedule Performance Index

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Roberto Barbosa dos Santos ◽  
Antônio Edésio Jungles
Keyword(s):  
Performance Index ◽  
Risk Evaluation ◽  
Construction Projects ◽  
Construction Project ◽  
Risk Level ◽  
Limit Values ◽  
Strong Point ◽  
Efficient Management ◽  
Schedule Performance ◽  
Inferior Limit

Construction projects are risky in both physical implementation and management. The characteristics of the risk reinforce the necessity of efficient management to increase the chances of success without commitment to its goals. This study explores the correlation of delay and the schedule performance index (SPI) to evaluate the risk of a construction project completed with time overruns. The hypothesis that the SPI of projects with a delay is distinct from those projects without a delay is assumed. A database with 19 elements was used to test this hypothesis and to calculate limit values to the SPI. Therefore, the risk of delay will be small when the observed SPI is greater than the superior limit and large when the SPI is below the inferior limit. The simplicity involved in the calculation of these values showed an advantage in comparison with other methods of risk evaluation. Another strong point observed is that any company can determine the value of risk by considering its own history and support decisions like doing corrective actions.

scholarly journals Effects of rules and self-rules on schedule performance in two-person experiments

2018 ◽  
Vol 89 (4) ◽  
pp. 396-402
Author(s):  
Satoshi Nakamura ◽  
Hiroto Okouchi
Keyword(s):  
Schedule Performance
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