A new formula to "Estimate At Completion" of a Project's time to improve "Earned Value Management System"

Iranmanesh, Hossein; Mojir, Navid; Kimiagari, Salman

doi:10.1109/ieem.2007.4419345

Cited by 17 publications

(12 citation statements)

References 5 publications

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“…Moreover, determining the ownership share of partners with MODM (MultiObjective Decision Making) approach with the neural network (Kimiagari et al,2010), ranking International strategic Alliance project delaying factors (Iranmanesh et al,. 2007), ranking the stakeholder(s) involvement challenges in International strategic alliance project (Kimiagari et al,.…”

Section: Resultsmentioning

confidence: 99%

Using the Fuzzy Delphi Method to Apply a Model of Knowledge Transfer through International Strategic Alliances in Up-Stream Oil and Gas Sectors

Kimiagari

Keivanpour

Al-Azad

et al. 2015

CMR

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The upstream petroleum industry includes associated service businesses such as seismic and drilling contractors, service rig operators, engineering firms and various scientific, technical service and supply companies. These extremely high-tech activities require the continuous inflow of knowledge and technologies for reconfiguring and rebuilding capabilities that fit with the continuous changes in the marketplace for sustaining a competitive advantage. To that end, infrastructures and policy orientations are required to create a conducive environment for knowledge transfer (KT) to enhance knowledge capability. This paper aims to explore how strategic alliances lead to KT that enhances organizational capabilities. We analyze the case of the National Iranian Oil Company (NIOC) to test the fuzzy Delphi model (FDM) framework. We develop a conceptual framework establishing the link between the strategic alliances (SA) and their facilitators for developing the knowledge Contemporary Management Research 410 capabilities of upstream oil and gas companies. We tested the proposed model using FDM to show how international strategic alliances (ISA) in the upstream oil and gas sector transfer knowledge and have positive effects on developing the NIOC's knowledge capability. Positive outcomes include knowledge acquisition from partners, developing knowledge management techniques and facilitating the implementation of knowledge-based structure, developing high-tech production and exploration methods, increasing investment in innovation, and developing human resources and information technology uses.

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Section: Resultsmentioning

confidence: 99%

Using the Fuzzy Delphi Method to Apply a Model of Knowledge Transfer through International Strategic Alliances in Up-Stream Oil and Gas Sectors

Kimiagari

Keivanpour

Al-Azad

et al. 2015

CMR

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“…These data was generated through a project simulator which was previously developed by VBA-MSP tools in Microsoft Project software for other studies by authors. For more information about its structure may refer to Iranmanesh et al (2007), (2008) and Iranmanesh and Hojjati Tavassoli (2008). It reads sample project file, which is in text format, and makes corresponding Microsoft Project file.…”

Section: Input and Output Data Configurationmentioning

confidence: 99%

“…A new method for EAC (Iranmanesh et al 2007) of project's time to improve EVMS in 2007 was presented. The A-12 program, On 7 January 1991 cancelled because of certainly the problem of estimating its completed cost (Morrison 1991) and caused interest in forecasting the completed cost of a defense contract as an important contributing factor, a term EAC.…”

Section: General Review Of Evms Measuresmentioning

confidence: 99%

“…Earned Value Management System (EVMS) is a systematic approach for Estimate At Completion (EAC) estimations and its concept is used to measure project progress, calculate Earned Value (EV) of project and forecast EAC in every period of controlling the project progress and plan preventive actions during the project life cycle (Iranmanesh et al 2007). Therefore, the role of EVMS as well as correct and on time forecasting is essential to achieve project goals.…”

Section: Evmmentioning

confidence: 99%

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Intelligent Systems in Project Performance Measurement and Evaluation

Iranmanesh

Hojati

2015

Intelligent Techniques in Engineering Management

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Over the life cycle of a project, project costs and time estimations play important roles in baseline scheduling, schedule risk analysis and project control. Performance measurement is the ongoing, regular collection of information that can provide this controlling system. In this study, firstly, a new simulation approach is proposed to develop project progress time-series data, based on the complexity and specifications of the project as well as on the environment in which the project is executed. This simulator is capable of simulating fictitious projects, as well as real projects based on empirical data and helps project managers to monitor the project's execution, despite the lack of historical data. Besides, this chapter compares the effects of different inputs on generated time series, as estimated results obtained on a fictitious dataset. Secondly, the validated outputs can provide researchers with an opportunity to generate general and customized formulae such as project completion time estimation. This study also implies four soft computing methods, Artificial Neural Network (ANN), Adaptive Neuro-Fuzzy Interface System (ANFIS), Emotional Learning based Fuzzy Interface System (ELFIS) and Conventional Regression to forecast the completion time of project. Core variables in proposed model are known parameters in Earned Value Management (EVM). Finally, the result of using intelligent models and their performances in modeling the expert emotions are compared.

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“…Many research studies have been dedicated to this area to enhance and to show its capabilities [3] [8]. Early finding of actual or forecast cost overrun in the field of construction projects is vital to assist project managers [6].…”

Section: Introductionmentioning

confidence: 99%

Web-Based Integrated Project Controls System

Montaser¹,

Montaser²

2017

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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-The early detection of overruns in construction industry is essential for effective project management. Inefficient and wasteful project reporting systems contribute in project failure as it deprives project management team from taking immediate corrective actions. Reporting and dashboard tools allow multiple data source extraction and processing, which facilitate producing integrated web-based visualized report in near-realtime to be available for project parties. This paper presents a web-based platform that supports real estate developers through integrating cost data with visualized progress information. The platform development tool is ORACLE Business Intelligence Enterprise (BIE). A specially designed relational database was developed to store progress and cost data and to produce the visualized progress layout using mapping techniques and dashboard design. Cost data is imported from a customized cost reporting system with a distinct database. The developed platform creates a practical integration between cost reporting and facilitates data reporting in visualized and graphical representation. The platform has been tested and applied to actual case study to demonstrate and verify its ease of use and capabilities. The case study project is a residential community composed of villas, building and supporting infrastructure works in addition to community building in the Kingdom of Saudi Arabia with 53,800 m2 land area and a 39,526 m2 built up area. The developed model supports project controls more thoroughly to make better business decision.

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A new formula to "Estimate At Completion" of a Project's time to improve "Earned Value Management System"

Cited by 17 publications

References 5 publications

Using the Fuzzy Delphi Method to Apply a Model of Knowledge Transfer through International Strategic Alliances in Up-Stream Oil and Gas Sectors

Using the Fuzzy Delphi Method to Apply a Model of Knowledge Transfer through International Strategic Alliances in Up-Stream Oil and Gas Sectors

Intelligent Systems in Project Performance Measurement and Evaluation

Web-Based Integrated Project Controls System

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