ABSTRACT

Today, petroleum companies cannot be competitive and efficient without considering potential solutions provided by sustainable supply chain management (SSCM) optimization models. SSCM can solve different challenges faced by this sector. Academics and practitioners consider the opportunities offered by decision-making tools for planning sustainable petroleum supply chains. Moreover, the ever-increasing number of publications applying decision-making models to the petroleum industry also attests to this fact. Therefore, the primary objective of this study is to understand the evolution of sustainable supply chain planning in the petroleum industry and highlight the specificities of the body of knowledge in this area. A comprehensive analysis is performed using 23 papers published from 2010 to 2019. This paper proposes a classification framework to analyze different factors in developing mathematical models, including the triple bottom line pillars of sustainability (economic, environmental, and social). The main observation is that planning models that focus on all three sustainability dimensions in the petroleum sector are scarce. Regarding the environmental dimension, the analysis demonstrates that consideration of greenhouse gas emissions, especially CO₂ impacts, is dominating planning models. Furthermore, there is an absence of quantitative models that include social dimensions, and this gap must be addressed in the future. Finally, we propose future extensions to develop research in SSCM in the petroleum sector, keeping in mind recent developments from both technological and economic drivers in this specific sector.

摘要

如今，如果不考虑可持续供应链管理（SSCM）优化模型提供的潜在解决方案，石油公司就无法提高竞争力和效率。SSCM可以解决该行业面临的各种挑战。学术界和从业者考虑了决策工具为规划可持续石油供应链提供的机会。此外，将决策模型应用到石油行业的出版物数量不断增加也证明了这一事实。因此，本研究的主要目的是了解石油工业中可持续供应链计划的演变，并强调该领域知识体系的特殊性。使用2010年至2019年发表的23篇论文进行了全面分析。本文提出了一个分类框架，以分析开发数学模型中的不同因素，包括可持续性的三重底线支柱（经济，环境和社会）。主要观察结果是，针对石油部门所有三个可持续性维度的规划模型都很少。关于环境方面，分析表明考虑了温室气体排放，特别是CO₂影响，是主导计划模型。此外，还缺乏包括社会维度在内的定量模型，并且这一差距必须在未来得到解决。最后，考虑到该特定领域技术和经济驱动因素的最新发展，我们建议对石油行业SSCM进行研究的未来扩展。