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Oil and gas sector has more disruptions regarding its logistics management than any other industry. It is critical to understand which external security threats disrupt the oil and gas supply chain (OGSC). Recently, the time interval between these disruptions became frequent. the purpose of this paper is to identify key logistics elements that lead to such disruptions which would greatly benefit the oil and gas industry in developing more effective mitigation measures and resilient practices in the future.

This research develops the theoretical framework through a critical review of all theories related to resilience, logistics disruptions and mitigation methods in the oil and gas industry. Afterward, semi-structured interviews were conducted with executives in the Egyptian oil and gas industry to develop a conceptual framework. Finally, an empirical study was conducted through questionnaires with managers in the Egyptian oil and gas sector to develop the applied framework.

This research revealed that achieving an elevated level of flexibility, redundancy, visibility and collaboration in the Egyptian OGSC will significantly increase the level of resilience in the sector and consequently help in mitigating probable logistics disruptions.

This research contributes to academia by providing a conceptual framework for the most common logistics disruptions in the Egyptian OGSC and providing practitioners with the best resilience practices that are feasible and effective in mitigating logistics disruptions.

Previous research studied disruptions in OGSC from different perspectives: economic, social, political, technical, safety, legal and environmental perspectives, but no research highlighted the logistics perspective in the Egyptian context, to the best of the authors’ knowledge.

The Kurdistan Region of Iraq (KRI) stands as a significant player in the hydrocarbon landscape of the Middle East, necessitating an in-depth analysis of its role in the exportation process to Turkey and Mediterranean ports, thereby fostering economic and political ties and projecting toward the future. Situated as a semi-autonomous entity in northern Iraq, the Kurdistan Region boasts abundant natural gas resources, attracting interest from Russian firms and Turkish stakeholders. However, Iran’s influence in Iraq and the wider region poses a regional threat to the Kurdistan Region’s natural resources. This chapter meticulously examines the oil and gas blocks within the Kurdistan Region amidst the backdrop of transformative global energy market shifts, including the impacts of the COVID-19 pandemic and the Russian–Ukrainian conflict. Through this lens, it seeks to delineate the Kurdistan Region’s political and economic positioning within the evolving regional order.

The geopolitical significance of the Mediterranean Sea transcends regional security and energy supply, profoundly impacting global security dynamics. Daily headlines underscore the plight of migrants from the Middle East and North Africa crossing the Mediterranean, exacerbating humanitarian crises and European identity challenges. Environmental concerns are further heightened by the abundance of global ports facilitating oil and goods transportation, alongside the staggering number of tourists flocking to the Mediterranean coast annually. This chapter serves as a gateway to the book, exploring the concept of “geopolitics” and delineating its characteristics. It specifically delves into the political economy of the Eastern Mediterranean and the geopolitical obstacles to energy security in the region. The chapter strategically selects four primary issues to dissect the region’s conflict complexity: the Syrian crisis, the Israeli–Palestinian conflict, the unresolved Cyprus dispute, and the Lebanon–Israel conflict over water border demarcation.

The impact of COVID-19 on the lives of people and businesses across the globe was devastating. While governments across the world had undertaken a slew of measures to control the spread of the COVID-19 virus within their geography, many of these measures had long and unintended consequences. The restrictions imposed by the governments on the movement of people and goods across the world brought supply chains to a grinding halt. This study identifies the cascading effects of supply chain disruptions (SCDs) on the energy sector and thereby on the security of supply of energy from a European Union perspective. Since these systems are closely integrated and the impact of COVID-19 needs to be analysed at a much broader level, this study uses a systems-thinking approach to study the effect of SCDs on energy services. The study develops a causal loop model to gain further insight into how SCDs caused by COVID-19 affected the coping capabilities of society and how critical services were affected. Furthermore, the study puts forth certain policy recommendations for both businesses and governments to prepare for and protect against a similar situation in the future.

This study aims to address the inherent uncertainties within closed-loop supply chain (CLSC) networks through the application of a multi-objective approach, specifically focusing on the optimization of integrated production and transportation processes. The primary purpose is to enhance decision-making in supply chain management by formulating a robust multi-objective model.

In dealing with uncertainty, this study uses Pythagorean fuzzy numbers (PFNs) to effectively represent and quantify uncertainties associated with various parameters within the CLSC network. The proposed model is solved using Pythagorean hesitant fuzzy programming, presenting a comprehensive and innovative methodology designed explicitly for handling uncertainties inherent in CLSC contexts.

The research findings highlight the effectiveness and reliability of the proposed framework for addressing uncertainties within CLSC networks. Through a comparative analysis with other established approaches, the model demonstrates its robustness, showcasing its potential to make informed and resilient decisions in supply chain management.

This study successfully addressed uncertainty in CLSC networks, providing logistics managers with a robust decision-making framework. Emphasizing the importance of PFNs and Pythagorean hesitant fuzzy programming, the research offered practical insights for optimizing transportation routes and resource allocation. Future research could explore dynamic factors in CLSCs, integrate real-time data and leverage emerging technologies for more agile and sustainable supply chain management.

This research contributes significantly to the field by introducing a novel and comprehensive methodology for managing uncertainty in CLSC networks. The adoption of PFNs and Pythagorean hesitant fuzzy programming offers an original and valuable approach to addressing uncertainties, providing practitioners and decision-makers with insights to make informed and resilient decisions in supply chain management.

One pertinent dynamic phenomenon in supply chains is the amplification of order variance, i.e. the bullwhip effect. Its continued significance is underscored in contemporary empirical research. While numerous publications have pinpointed various causes of the bullwhip effect, there remains a gap in their systematic consolidation. The purpose of this paper is to compile a comprehensive list of the causes of the bullwhip effect from existing literature and categorize them appropriately.

This study conducts a systematic literature review to offer a comprehensive overview of bullwhip effect causes addressed in the existing literature. The identified causes are categorized using a qualitative content analysis approach.

The study shows the diversity of the causes of the bullwhip effect and their interdependencies. In addition, this study demonstrates that, at the highest level of aggregation, causes of the bullwhip effect can be classified into four main categories: causes inherent in the system structure, causes related to uncertainty, causes related to misaligned incentives and causes related to inadequate cognition of the situation.

The work provides an extensive overview and categorization of bullwhip effect causes, offering valuable insights for both researchers and practitioners seeking a deeper understanding of this phenomenon. In addition, it underscores managerial implications and highlights future research opportunities.