New evaluation of petroleum companies based on the agility level in gulf area

Ibrahim H. Garbie, Fahad S. Al-Hosni

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

The oil industry is becoming a more competitive environment where objectives of the oil companies have to deal with multiple business challenges. Some of those challenges are the unexpected oil prices and customer demands where the companies have to continuously change their production strategies to meet the new requirements. Analysis and measuring the agility level in petroleum companies is very important to mitigate unexpected challenges. Agile systems in petroleum companies are considered as production and/or management philosophies that integrate the available production strategies, technology, people and organisation management systems. In this paper, a conceptual framework or approach is proposed to measure the agility level (AS) of the petroleum companies based on four pillars. These pillars are: production strategies, level of qualifying human resources, technologies, and organisation management systems. A questionnaire was designed and administered covering the whole important aspects and issues of agility pillars. Three case studies are presented to demonstrate the proposed approach insight into those characteristics which is used for assessing the agility level that is most relevant within the oil and gas industry.

Original languageEnglish
Pages (from-to)528-572
Number of pages45
JournalInternational Journal of Industrial and Systems Engineering
Volume18
Issue number4
DOIs
Publication statusPublished - Oct 1 2014

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Crude oil
Industry
Gas industry
Personnel
Oils

Keywords

  • Agility
  • Performance evaluation
  • Petroleum companies

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

Cite this

New evaluation of petroleum companies based on the agility level in gulf area. / Garbie, Ibrahim H.; Al-Hosni, Fahad S.

In: International Journal of Industrial and Systems Engineering, Vol. 18, No. 4, 01.10.2014, p. 528-572.

Research output: Contribution to journalArticle

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