BP's evolution in the face of Australia's transforming fuel supply chain: ensuring business sustainability as well as security of supply for the nation's demands

2018 ◽  
Vol 58 (2) ◽  
pp. 637
Author(s):  
Daniel Tyzack ◽  
Luke Sullivan

BP has embraced the changing landscape of the fuel supply chain in Australia. Historically, fuel supply in Australia has been manufactured and supplied nationally. However, Australia’s future fuel supply will rely on a globalised supply chain in order to meet local needs. In response, BP has (among other initiatives) transformed its operations and maintenance approach to terminals and fuel distribution within Australia to guarantee a sustainable business model, offsetting the trend of high asset ownership costs and low efficiency. When it comes to terminal management, BP’s creation of Australian Terminals Operation Management (ATOM), a joint venture between BP and UGL, differentiates BP from its peers. This model has proven fundamental to maintaining a competitive position in the Australian fuel industry. BP’s unique approach to meeting customer demands through the ATOM business is a success story that comes from pre-empting and embracing change.

2021 ◽  
Vol XXIV (Issue 4B) ◽  
pp. 623-633
Author(s):  
Dariusz Tloczynski ◽  
Malgorzata Wach-Kloskowska ◽  
Sebastian Susmarski

2021 ◽  
Vol 13 (13) ◽  
pp. 7278
Author(s):  
Tamoor Azam ◽  
Songjiang Wang ◽  
Muhammad Mohsin ◽  
Muhammad Nazam ◽  
Muhammad Hashim ◽  
...  

Over the past few years, sustainable supply chain initiatives (SSCIs) have grabbed attention in the domestic, as well as global, marketplace of the food sector. Nowadays, the success of the entire food supply chain depends on the prosperity of farms, local communities, trader processors, and agro-based industries. Despite its importance, food processing industries (FPIs) are encountering various hurdles in achieving sustainable business goals due to the sheer number of potential barriers. Due to this reason, stakeholders are continuously pressuring the management of FPIs to embrace sustainable food processing activities. In light of this, the present study aims to apply a hybrid fuzzy analytical hierarchy process (F-AHP) framework, based on fuzzy technique for order preference by similarity to the ideal solution (F-TOPSIS), for analyzing the barriers and prioritizing the possible pathways in adopting the SSCIs for the development of FPIs. Based on the extensive review of literature and panel consultation with experienced experts, a total of seven main barriers, forty-two sub barriers, and five possible pathways as strategic tools were finalized and ranked. An empirical case investigation of a Pakistani-based food processing company has been taken to check the practical application of the proposed framework along with sensitivity analysis. The findings of this study reveal that the lack of sustainable outsourcing factors were found as the top-ranked barrier in implementing SSCIs, and the possible pathway to overcome this barrier is the appropriate management of the procurement cycle. The major contribution of this study is to establish a barriers prioritization framework and suggest possible pathways to overcome these barriers for the successful implementation of SSCIs. Finally, the theoretical, managerial, and policy implications are provided as a way forward for the concerned stakeholders and policymakers.


2021 ◽  
Vol 11 (12) ◽  
pp. 5585
Author(s):  
Sana Al-Farsi ◽  
Muhammad Mazhar Rathore ◽  
Spiros Bakiras

Blockchain is a revolutionary technology that is being used in many applications, including supply chain management. Although, the primary motive of using a blockchain for supply chain management is to reduce the overall production cost while providing the comprehensive security to the system. However, current blockchain-based supply-chain management (BC-SCM) systems still hold the possibility of cyber attacks. Therefore, the goal of this study is to investigate practical threats and vulnerabilities in the design of BC-SCM systems. As a starting point, we first establish key requirements for the reliability and security of supply chain management systems, i.e., transparency, privacy and traceability, and then discern a threat model that includes two distinctive but practical threats including computational (i.e., the ones that threaten the functionality of the application) and communication (i.e., the ones that threaten information exchange among interconnected services of the application). For investigation, we follow a unique approach based on the hypothesis that reliability is pre-requisite of security and identify the threats considering (i) design of smart contracts and associated supply chain management applications, (ii) underlying blockchain execution environment and (iii) trust between all interconnected supply management services. Moreover, we consider both academic and industry solutions to identify the threats. We identify several challenges that hinder to establish reliability and security of the BC-SCM systems. Importantly, we also highlight research gaps that can help to establish desired security of the BC-SCM. To the best of our knowledge, this paper is the first effort that identifies practical threats to blockchain-based supply chain management systems and provides their counter measures. Finally, this work establishes foundation for future investigation towards practical security of BC-SCM system.


2021 ◽  
Author(s):  
Sanjith Gopalakrishnan ◽  
Daniel Granot ◽  
Frieda Granot

Since 2016, Canada’s federal government has pledged to factor in upstream emissions during the environmental impact assessment of fossil fuel energy projects. The upstream emissions attributable to a proposed project could be compared against a rejection threshold—a maximum permissible level of emissions—or the firm could be mandated to offset the attributed emissions. We adopt a cooperative game-theoretic model and propose the nucleolus mechanism to apportion upstream emission responsibilities in a fossil fuel supply chain, represented by a directed tree, wherein the nodes correspond to various entities in the supply chain such as extractors, distributors, refineries, and end consumers. The nucleolus allocation avoids the distortionary effects of double counting and exhibits a certain consistency property that is especially important in a regulatory context wherein fossil fuel supply chains span multiple legal jurisdictions. We develop a polynomial-time algorithm to compute the nucleolus and further prove that it arises as the unique subgame perfect equilibrium allocation of a noncooperative game induced by two easily stated and verifiable policies, thereby providing an implementation framework. We then demonstrate the strong Nash stability of the nucleolus mechanism subject to the two policies, study its sensitivity to parameter changes, and characterize it on the basis of fairness considerations. Furthermore, under the common assumption that the emissions allocated to a firm and the resulting financial penalties do not impact the revenues from the firm’s core operations, we also provide lower-bound guarantees on the welfare gains it delivers to firms in the fossil fuel supply chain and on the incentives it offers such firms to adopt emission abatement technologies. Finally, we contextualize our discussion with a case study on a proposed expansion of the Trans Mountain pipeline in Western Canada. This paper was accepted by Chung Piaw Teo, optimization.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maureen S. Golan ◽  
Benjamin D. Trump ◽  
Jeffrey C. Cegan ◽  
Igor Linkov

PurposeDespite rapid success in bringing SARS-CoV-2 vaccines to distribution by multiple pharmaceutical corporations, supply chain failures in production and distribution can plague pandemic recovery. This review analyzes and addresses gaps in modeling supply chain resilience in general and specifically for vaccines in order to guide researchers and practitioners alike to improve critical function of vaccine supply chains in the face of inevitable disruptions.Design/methodology/approachSystematic review of the literature on modeling supply chain resilience from 2007 to 2020 is analyzed in tandem with the vaccine supply chain manufacturing literature. These trends are then used to apply a novel matrix analysis to seven Securities and Exchange Commission (SEC) annual filings of pharmaceutical corporations involved in COVID-19 vaccine manufacture and distribution.FindingsPharmaceutical corporations favor efficiency as they navigate regulatory, economic and other threats to their vaccine supply chains, neglecting resilience – absorption, adaptation and recovery from inevitable and unexpected disruptions. However, explicitly applying resilience analytics to the vaccine supply chain and further leveraging emerging network science tools found in the academic literature, such as artificial intelligence (AI), stress tests and digital twins, will help supply chain managers to better quantify efficiency/resilience tradeoffs across all associated networks/domains and support optimal system performance post disruption.Originality/valueThis is the first review addressing resilience analytics in vaccine supply chains and subsequent extension to operational management through novel matrix analyses of SEC Filings. The authors provide analyses and recommendations that facilitate resilience quantification capabilities for vaccine supply chain managers, regulatory agencies and corporate stakeholders and are especially relevant for pandemic response, including application to the SARS-CoV-2 vaccines.


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