A PROMETHEE-GDSS for oil and gas pipeline planning in the Caspian Sea basin

Tavana, Madjid; Behzadian, Majid; Pirdashti, Mohsen; Pirdashti, Hasan

doi:10.1016/j.eneco.2012.11.023

Cited by 45 publications

(24 citation statements)

References 57 publications

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“…Their method did not present an optimal structure of the future recycling system, but provided a selection of good alternatives for potential locations of recycling plants. Tavana et al (2013) proposed a group decision support system (DSS) for the evaluation of alternative pipeline routes in the Caspian Sea region. Their proposed system decomposed the route selection process into manageable steps and combined Strength, Weakness, Opportunity, and Threat analysis with the Delphi method to capture the DMs' beliefs.…”

Section: Literature Reviewmentioning

confidence: 99%

A multicriteria spatial decision support system for solving emergency service station location problems

Esmaelian

Tavana

Santos‐Arteaga

et al. 2015

International Journal of Geographical Information Science

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Earthquakes occurring in urban areas constitute an important concern for emergency management and rescue services. Emergency service location problems may be formulated in discrete space or by restricting the potential location(s) to a specified finite set of points in continuous space. We propose a Multicriteria Spatial Decision Support System to identify shelters and emergency service locations in urban evacuation planning. The proposed system has emerged as an integration of the geographical information systems (GIS) and the multicriteria Decision-Making method of Preference Ranking Organization Method for Enrichment Evaluation IV (PROMETHEE IV). This system incorporates multiple and often conflicting criteria and decision-makers' preferences into a spatial decision model. We consider three standard structural attributes (i.e., durability density, population density, and oldness density) in the form of spatial maps to determine the zones most vulnerable to an earthquake. The information on these spatial maps is then entered into the ArcGIS software to define the relevant scores for each point with regards to the aforementioned attributes. These scores will be used to compute the preference functions in PROMETHEE IV, whose net flow outranking for each alternative will be inputted in ArcGIS to determine the zones that are most vulnerable to an earthquake. The final scores obtained are integrated into a mathematical programming model designed to find the most suitable locations for the construction of emergency service stations. We demonstrate the applicability of the proposed method and the efficacy of the procedures and algorithms in an earthquake emergency service station planning case study in the city of Tehran.

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Section: Literature Reviewmentioning

confidence: 99%

A multicriteria spatial decision support system for solving emergency service station location problems

Esmaelian

Tavana

Santos‐Arteaga

et al. 2015

International Journal of Geographical Information Science

Self Cite

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“…MCA refers to a set of methods, techniques, and tools that help people with their decision problems (description, clustering, ranking, and selection) by simultaneously considering more than one objective or criterion (Afsordegan, Sánchez, Agell, Zahedi, & Cremades, 2016;Ghafghazi, Sowlati, Sokhansanj, & Melin, 2010;Kaya & Kahraman, 2011;Roy, 1996). PROMETHEE (Behzadian, Kazemzadeh, Albadvi, & Aghdasi, 2010;Brans & Mareschal, 2005;Goumas & Lygerou, 2000;Tavana, Behzadian, Pirdashti, & Pirdashti, 2013) has been proposed as a proper MCA technique. PROMETHEE methods are based on outranking the relationship S. This concept does not determine if the relationship among two alternatives a and b is a strong preference (a P b), weak preference (a Q b), or indifference (a I b), but instead it establishes if "the alternative a is at least as good as the alternative b" (Brans & Mareschal, 2005).…”

Section: Multicriteria Analysismentioning

confidence: 99%

Risk-based ROI, capital budgeting, and portfolio optimization in the Department of Defense

Mun

2020

Defense ARJ

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This article shows a reusable, extensible, adaptable, and comprehensive advanced analytical modeling process to help the U.S. Department of Defense (DoD) with risk-based capital budgeting and optimizing of acquisition and program portfolios with multiple stakeholders while subject to budgetary, risk, schedule, and strategic constraints. The article covers traditional capital budgeting methodologies in industry and explains how these methods can be applied in the DoD by using DoD-centric, noneconomic, logistic, readiness, capabilities, and requirements variables. Portfolio optimization for the purposes of selecting the best combination of programs and capabilities is also addressed, as are alternative methods such as average ranking, risk metrics, lexicographic methods, PROMETHEE, ELECTRE, and others. Finally, an illustration from the Program Executive Office Integrated Warfare Systems (PEO-IWS) and Naval Sea Systems Command (NAVSEA) showcases the methodology’s application in developing a comprehensive and analytically robust case study that senior leadership at the DoD may utilize to make optimal decisions.

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“…It is considered one of the most important methods based on outranking approach (Keyser and Peeters, 1996). The multi-criteria approach, using the PROMETHEE method was applied in different areas such as planning entrepreneurial resources, hospital management, power sector, gas supply, water recycling, information technology and analysis of air quality (Kilic et al, 2015;Amaral and Costa, 2014;Kabir and Sumi, 2014;Tavana et al, 2013;. Chen et al, 2012.…”

Section: Introductionmentioning

confidence: 99%

Multicriteria evaluation model for organizational performance management applied to the Polo Fruit Exporter of the São Francisco Valley

Silva

Fontes

Barbosa

2015

Computers and Electronics in Agriculture

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A PROMETHEE-GDSS for oil and gas pipeline planning in the Caspian Sea basin

Cited by 45 publications

References 57 publications

A multicriteria spatial decision support system for solving emergency service station location problems

A multicriteria spatial decision support system for solving emergency service station location problems

Risk-based ROI, capital budgeting, and portfolio optimization in the Department of Defense

Multicriteria evaluation model for organizational performance management applied to the Polo Fruit Exporter of the São Francisco Valley

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