An integrated multi-criteria decision-making model for identifying complexity drivers in the oil and gas supply chain

Sujan Piya , Yahya Al-Hinai , Nasr Al Hinai , Mohammad Khadem , Mohammad Shamsuzzaman
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Abstract

The oil and gas industry, with numerous supply chain partners, significantly contributes to the world economy. This industry's operations involve complex processes and interactions with different stakeholders, leading to many drivers contributing to its complexity. This study identifies seventeen complexity drivers in the oil and gas supply chain based on an extensive literature review and the Pareto principle. The identified drivers were then analyzed using an integrated Analytical Hierarchy Process (AHP) and Decision-Making Trial and Evaluation Laboratory (DEMATEL) approaches. The analysis reveals that the procurement system is the most important driver, followed by process synchronization among supply chain partners. Government regulation is the least influential driver in creating complexity in the oil and gas supply chain. Further analysis indicated that seven of the seventeen identified drivers were classified as causes, while the remaining ones fell under the effect group. The results of this study are expected to help decision-makers devise strategies based on the drivers with significant impact to minimize complexity and mitigate its effects on the oil and gas industry supply chain.
一种集成的多标准决策模型,用于识别油气供应链中的复杂性驱动因素
石油和天然气行业拥有众多的供应链合作伙伴,对世界经济做出了重大贡献。该行业的运营涉及复杂的流程和与不同利益相关者的互动,导致许多驱动因素增加了其复杂性。基于广泛的文献回顾和帕累托原则,本研究确定了油气供应链中的17个复杂性驱动因素。然后使用综合层次分析法(AHP)和决策试验与评估实验室(DEMATEL)方法对确定的驱动因素进行分析。分析表明,采购系统是最重要的驱动因素,其次是供应链合作伙伴之间的流程同步。政府监管是造成油气供应链复杂性的影响最小的因素。进一步的分析表明,17个确定的驱动因素中有7个被归类为原因,而其余的则属于影响组。这项研究的结果有望帮助决策者根据具有重大影响的驱动因素制定策略,以最大限度地降低复杂性并减轻其对油气行业供应链的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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