Supporting the natural gas supply chain public policies through simulation methods: A dynamic performance management approach

Mauricio Becerra Fernández, Elsa Cristina González La Rotta, Federico Cosenz, Isaac Dyner Rezonzew

Research output: Chapter in Book/ReportConference contribution

6 Scopus citations

Abstract

Natural gas is considered the transitional fuel par excellence between fossil and renewable sources, considering its low cost, greater efficiency and lesser impact on the environment. This is the reason why its demand levels have increased worldwide, requiring intervention of public and private stakeholders in order to meet these increments. The participation of diverse interconnected stakeholders (key actors) of the supplier-client form, constitutes a supply chain for natural gas, in which the effects of the application of public policy actions can be analysed in the time, using Dynamic Performance Management DPM methodology. The results of the model show the behaviour of the reserves, production and transport levels compared to scenarios that combine the implementation time of capacity expansion projects and supply reliability percentages, in which the national government can intervene, facilitating decision makers to identify the impact of the actions to be implemented, in the planning of policies aimed at guaranteeing the uninterrupted supply of this resource.

Original languageEnglish (US)
Title of host publicationApplied Computer Sciences in Engineering - 5th Workshop on Engineering Applications, WEA 2018, Proceedings
EditorsEduyn Ramiro Lopez-Santana, Juan Carlos Figueroa-Garcia, Jose Ignacio Rodriguez-Molano
PublisherSpringer
Pages363-376
Number of pages14
ISBN (Print)9783030003494
DOIs
StatePublished - 2018
Externally publishedYes
Event5th Workshop on Engineering Applications, WEA 2018 - Medellín, Colombia
Duration: Oct 17 2018Oct 19 2018

Publication series

NameCommunications in Computer and Information Science
Volume915
ISSN (Print)1865-0929

Conference

Conference5th Workshop on Engineering Applications, WEA 2018
Country/TerritoryColombia
CityMedellín
Period10/17/1810/19/18

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • General Mathematics

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