Project Ranking

1979 ◽  
pp. 91-117
Author(s):  
F. L. C. H. Helmers
Keyword(s):  
Project Ranking

Project Ranking in Petroleum Exploration

2019 ◽  
Vol 65 (1) ◽  
pp. 66-87 ◽  
Author(s):  
Imre Szilágyi ◽  
Zoltán Sebestyén ◽  
Tamás Tóth
Keyword(s):  
Petroleum Exploration ◽  
Project Ranking

scholarly journals Design and Solution of a Surrogate Model for Portfolio Optimization Based on Project Ranking

2017 ◽  
Vol 2017 ◽  
pp. 1-10
Author(s):  
Eduardo Fernandez ◽  
Claudia Gómez-Santillán ◽  
Laura Cruz-Reyes ◽  
Nelson Rangel-Valdez ◽  
Shulamith Bastiani
Keyword(s):  
Decision Maker ◽  
Ant Colony Algorithm ◽  
Feasible Solution ◽  
Region Of Interest ◽  
Project Portfolio ◽  
Complex Task ◽  
Relational System ◽  
Multiobjective Problem ◽  
Available Information ◽  
Project Ranking

Characterizing the preferences of a decision maker in a multicriteria decision is a complex task that becomes even harder if the information available is limited. This paper addresses a particular case of project portfolio selection; in this case, the measures of project impacts are not assumed, and the available information is only projects’ ranking and costs. Usually, resource allocation follows the ranking priorities until they are depleted. This action leads to a feasible solution, but not necessarily to a good portfolio. In this paper, a good portfolio is found by solving a multiobjective problem. To effectively address such dimensionality, the decision maker’s preferences in the form of a fuzzy relational system are incorporated in an ant-colony algorithm. The Region of Interest is approached by solving a surrogate triobjective problem. The results show that the reduction of the dimensionality supports the decision maker in choosing the best portfolio.

Ordinal Capital Project Ranking Evaluation and the Quality Component

2013 ◽  
pp. 119-145
Keyword(s):  
High Quality ◽  
General Sense ◽  
Capital Projects ◽  
Project Ranking

There is a general sense of developing “new” capital projects in a virgin arena and deemed as high-quality than performing the necessary upgrades on an existing project. Based on the increased need to mobilize the necessary resources, each project in the reliability sector must be prioritized for safety reasons and to avoid potential equipment damage to expedite the work. Properly planned capital projects are skillfully integrated within the portfolio envelope. Conditions such as the projects in the reliability sector create blackouts, increase costs, and develop a poor safety environment if left unattended.

Risk-Based Integrity Project Ranking

2002 ◽  
Author(s):  
David Misewicz ◽  
Anita Cuevas Smith ◽  
Maher Nessim ◽  
David Playdon
Keyword(s):  
Natural Gas ◽  
Risk Reduction ◽  
Rocky Mountain ◽  
Cost Effective ◽  
Management Program ◽  
Gas Pipeline ◽  
Cost Ratio ◽  
Natural Gas Pipeline ◽  
Benefit Cost ◽  
Project Ranking

Kinder Morgan, Inc. (KMI) is one of the largest midstream energy companies in North America, operating more than 30,000 miles of natural gas and product pipelines. Major interstate natural gas pipeline assets include Natural Gas Pipeline Company of America (NGPL), Kinder Morgan Interstate Gas Transmission, L.L.C., TransColorado and Trailblazer. NGPL transports up to 5.7 billion cubic feet (Bcf)/day) of natural gas through 10,000 miles of pipeline and has 210 Bcf of working gas storage. Other gas pipeline operations in intrastate service include Kinder Morgan Texas Pipeline, L.P., Kinder Morgan Tejas Pipeline, L.P., Northern Gas Company and Rocky Mountain Natural Gas Company. KMI affiliates also own and operate significant liquid pipelines, CO2 pipelines, bulk and liquids terminals, natural gas retail distribution and electric generation. KMI has a long history of performance under a risk based Integrity Management Program. Integrity maintenance projects carried out in a given year are selected from a list of proposals submitted by individual pipeline operations managers. A variety of integrity project proposals are received for specific pipeline segments each year, including replacements, in-line inspections and hydrostatic tests. KMI’s Risk Engineering group performs a risk-based evaluation of the projects proposed in any given year to identify the most cost effective collection of projects that provide the greatest level of risk reduction. The approach is based on a benefit cost ratio, defined as the expected risk reduction in dollars per mile over the project useful life, divided by the total project cost. Risk reduction is estimated using a quantitative risk analysis approach in which the failure rate reduction achieved by carrying out a given project is multiplied by the expected failure costs. The project ranking provides a useful guide for selecting projects that fit within the maintenance budget while providing the greatest risk reduction. The benefit cost results can also be used as a tool to justify the maintenance budget. This paper describes the quantitative risk evaluation approach and demonstrates its benefits, which include substantial potential savings and a convincing case to support the decisions made.

Preference voting and project ranking using DEA and cross-evaluation

1996 ◽  
Vol 90 (3) ◽  
pp. 461-472 ◽  
Author(s):  
Rodney H. Green ◽  
John R. Doyle ◽  
Wade D. Cook
Keyword(s):  
Preference Voting ◽  
Project Ranking

NPV-COMPATIBILITY, PROJECT RANKING, AND RELATED ISSUES

1997 ◽  
Vol 42 (4) ◽  
pp. 325-339 ◽  
Author(s):  
MIROSLAW M. HAJDASIŃSKI
Keyword(s):  
Project Ranking

scholarly journals A research project ranking method based on independent reviews by using the principle of the distance to the perfectly assessed project

2017 ◽  
Vol 8 (2) ◽  
pp. 429-442 ◽  
Author(s):  
Rudolf Scitovski ◽  
◽  
Mario Vinković ◽  
Kristian Sabo ◽  
Ana Kozić ◽  
...  
Keyword(s):  
Ranking Method ◽  
Research Project ◽  
Project Ranking
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