Handling multi-party complexities in container flows in the upstream oil and gas supply chain: Potential lessons for an application to intercontinental container supply chains

Author(s):  
Bjorn Jager ◽  
Harald M. Hjelle
2014 ◽  
Vol 19 (1) ◽  
pp. 46-63 ◽  
Author(s):  
Luca Urciuoli ◽  
Sangeeta Mohanty ◽  
Juha Hintsa ◽  
Else Gerine Boekesteijn

Purpose – The purpose of this paper is to enhance the understanding about how energy supply chains work to build resilience against exogenous security threats and thereafter what support mechanisms should be introduced or improved by the European Union. Design/methodology/approach – Five case studies and data collection from multiple sources is used to understand what exogenous security threats could lead to the disruption of oil and gas flows to Europe, how energy companies, from a supply chain perspective, are working to manage these threats and finally, how the EU may coordinate the security of the energy sector in collaboration with supply chain companies. Findings – Results show that today, oil and gas supply chains have in place a good combination of disruption strategies, including portfolio diversification, flexible contracts, transport capacity planning and safety stocks. The most relevant security threats the companies fear, include hijacking of vessels (sea piracy), but also terrorism, and wars. Finally, the study highlights that the European Union has built a comprehensive portfolio of strategies to deal with scarcity of oil and gas resources. However, these approaches are not often synchronized with supply chain strategies. Practical implications – The paper provides guidance for supply chain managers dealing with critical suppliers located in conflict environments. The paper recommends that supply chain managers fine tune their strategies in coordination with governmental actions in foreign politics, dependence reduction and crisis management. This may be achieved by closer communication with governments and potentially through the creation of a pan-European sector alliance. Originality/value – Previous research discusses the topic of supply chain resilience and supply chain risk management. However, none of these studies report on exogenous security threats and disruption strategies of oil and gas supply chains. At the same time, previous research lacks detailed studies describing the interaction between governments and energy supply chains.


2021 ◽  
Author(s):  
Md Abdur Rahman ◽  
Syed M. Belal

Abstract Keeping track of the oil and gas supply chain is challenging task as the route and transportation requires sophisticated security environment - both physical systems’ and IT systems’ security. Thanks to the recent advancement in IoT, specialized sensors can keep track of the required supply chain environment. With the help of blockchain, the supply chain data can be immutably saved for further sharing with stakeholders. Due to the introduction of AI as an embedded element within 6G networks, the end-to-end supply chain process can now be automated for safety, security, and efficiency purposes. By leveraging 6G, AI, blockchain, and IoT, the supply chain data during the transportation or at rest can be monitored for any changed environment during the movement of the ship through national or international routes. In this paper, we study the requirements of such intelligent and secure supply chain management system conducive to the oil and gas industry. We also show our proof-of-concept implementation and initial test results. Our obtained results show promising prospect of the current system to be deployed to safeguard the oil and gas supply chain.


Science ◽  
2018 ◽  
pp. eaar7204 ◽  
Author(s):  
Ramón A. Alvarez ◽  
Daniel Zavala-Araiza ◽  
David R. Lyon ◽  
David T. Allen ◽  
Zachary R. Barkley ◽  
...  

Author(s):  
Ahmed M. Ghaithan ◽  
Ahmed Attia ◽  
Salih O. Duffuaa

The oil and gas networks are overlapped because of the inclusion of associated gas in crude oil. This necessitates the integration and planning of oil and gas supply chain together. In recent years, hydrocarbon market has experienced high fluctuation in demands and prices which leads to considerable economic disruptions. Therefore, planning of oil and gas supply chain, considering market uncertainty is a significant area of research. In this regard, this study develops a multi-objective stochastic optimization model for tactical planning of downstream segment of oil and natural gas supply chain under uncertainty of price and demand of petroleum products. The proposed model was formulated based on a two-stage stochastic programming approach with a finite number of realizations. The proposed model helps to assess various trade-offs among the selected goals and guides decision maker(s) to effectively manage oil and natural gas supply chain. The applicability and the utility of the proposed model has been demonstrated using the case of Saudi Arabia oil and gas supply chain. The model is solved using the improved augmented ε-constraint algorithm. The impact of uncertainty of price and demand of petroleum products on the obtained results was investigated. The Value of Stochastic Solution (VSS) for total cost, total revenue, and service level reached a maximum of 12.6 %, 0.4 %, and 6.2% of wait-and see solutions, respectively. Therefore, the Value of the Stochastic Solution proved the importance of using stochastic programming approach over deterministic approach. In addition, the obtained results indicate that uncertainty in demand has higher impact on the oil and gas supply chain performance than the price.


Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 351 ◽  
Author(s):  
Markéta Mikolajková-Alifov ◽  
Frank Pettersson ◽  
Margareta Björklund-Sänkiaho ◽  
Henrik Saxén

A better design of gas supply chains may lead to a more efficient use of locally available resources, cost savings, higher energy efficiency and lower impact on the environment. In optimizing the supply chain of liquefied natural gas (LNG), compressed natural gas (CNG) or biogas for smaller regions, the task is to find the best supplier and the most efficient way to transport the gas to the customers to cover their demands, including the design of pipeline networks, truck transportation and storage systems. The analysis also has to consider supporting facilities, such as gasification units, truck loading lines and CNG tanking and filling stations. In this work a mathematical model of a gas supply chain is developed, where gas may be supplied by pipeline, as compressed gas in containers or as LNG by tank trucks, with the goal to find the solution that corresponds to lowest overall costs. In order to efficiently solve the combinatorial optimization problem, it is linearized and tacked by mixed integer linear programming. The resulting model is flexible and can easily be adapted to tackle local supply chain problems with multiple gas sources and distributed consumers of very different energy demands. The model is illustrated by applying it on a local gas distribution problem in western Finland. The dependence of the optimal supply chain on the conditions is demonstrated by a sensitivity analysis, which reveals how the model can be used to evaluate different aspects of the resulting supply chains.


2015 ◽  
Vol 15 (1) ◽  
pp. 83-92
Author(s):  
Diana Uspanova ◽  
Oluchi Uwannah ◽  
Liang-Chieh Cheng
Keyword(s):  

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