A Mean-Variance robust model to minimize operational risk and supply chain cost under aleatory uncertainty: A real-life case application in petroleum supply chain

Tarei, Pradeep Kumar; Kumar, Gopal; Ramkumar, M.

doi:10.1016/j.cie.2022.107949

Cited by 22 publications

(6 citation statements)

References 85 publications

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“…In this regard, improvement actions that could reduce the potential environmental impact include increasing the consumption of grass silage instead of maize silage and lowering the use of concentrates or using locally produced concentrates instead of imported ones [26]. Therefore, a revision of the supply chain is strongly recommended to maintain cost control in case of fluctuating prices of international logistics [52] and to secure the consistency of supplies in uncertain international conditions, as we are experiencing in relationship with the COVID-19 crisis [53]. This would allow keeping the commitment to the SDGs by securing food supply chains (SDG 2) and improving working conditions (SDG 8) as well as the sustainability of production and consumption modes (SDG 9), with the overarching aim of reaching the climate goals (SDG 13), regardless of contingent factors [54].…”

Section: Resultsmentioning

confidence: 99%

LCA to Estimate the Environmental Impact of Dairy Farms: A Case Study

et al. 2022

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Intensive farming is responsible for extreme environmental impacts under different aspects, among which global warming represents a major reason of concern. This is a quantitative problem linked to the farm size and a qualitative one, depending on farming methods and land management. The dairy sector is particularly relevant in terms of environmental impact, and new approaches to meeting sustainability goals at a global scale while meeting society’s needs are necessary. The present study was carried out to assess the environmental impact of dairy cattle farms based on a life cycle assessment (LCA) model applied to a case study. These preliminary results show the possibility of identifying the most relevant impacts in terms of supplied products, such as animal feed and plastic packaging, accounting for 19% and 15% of impacts, respectively, and processes, in terms of energy and fuel consumption, accounting for 53% of impacts overall. In particular, the local consumption of fossil fuels for operations within the farm represents the most relevant item of impact, with a small margin for improvement. On the other hand, remarkable opportunities to reduce the impact can be outlined from the perspective of stronger partnerships with suppliers to promote the circularity of packaging and the sourcing of animal feed. Future studies may include the impact of drug administration and the analysis of social aspects of LCA.

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Section: Resultsmentioning

confidence: 99%

LCA to Estimate the Environmental Impact of Dairy Farms: A Case Study

et al. 2022

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“…26 Supply chain performance indicator items were all adapted from existing measurement scales. 38,53,54,55 Only validated measurement scales (with a minimum Cronbach's alpha of 0.7) were adapted for this study. Five-point Likert scales ranging from 1 = strongly disagree to 5 = strongly agree were used as the response option on measurement scales.…”

Section: Instrumentation and Data Collectionmentioning

confidence: 99%

“…From the 500 questionnaires, 411 valid questionnaires were available for use in the ultimate analysis, signifying a response rate of 82.2%, which is echoed by several suitable studies. 54,55,56…”

Section: Response Rate and Demographic Profile Of Respondentsmentioning

confidence: 99%

Small and medium business transformational leadership and supply chain management

Langton,

Mafini

2023

The Journal for Transdisciplinary Research in Southern Africa

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The performance-related problems facing small and medium enterprises (SMEs) in South Africa are well known. Efforts to find lasting solutions are ongoing and include empirical research focusing on various business practices and models. Applying leadership practices and supply chain management to SMEs provides fertile ground for groundbreaking solutions. This study tested the relationship between transformational leadership, supply chain execution and supply chain performance in manufacturing SMEs in South Africa. The study uses structural equation modelling to examine this empirical connection using data collected from 411 professional employees drawn from SMEs in three South African provinces. The study found that idealised influence and intellectual stimulation exert a positive impact on supply chain execution. Supply chain execution is positively linked to four supply chain performance factors, namely agility, reliability, cost optimisation and responsiveness. Transdisciplinary contribution:The study connects transformational leadership, which is an organisational behaviour construct to supply chain management, the latter of which is an emerging business discipline. The study recognises that business strategy is implemented by people whose conduct and practices are pivotal to strategic success. In addition, the study has an entrepreneurship orientation as it addresses the challenges facing manufacturing SMEs in South Africa.

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“…Song et al [17] compared the impact of riskaverse retailers and overconfident manufacturers on the optimal decisions and profits of participants under the push strategy, pull strategy and other strategy in the uncertain demand environment. Tarei et al [18] analyzed the impact of different risk preferences of decision makers on supply chain costs in a stochastic uncertain environment and constructed a mean-variance robust optimization model. Zhao et al [19] used a joint contract consisting of revenue sharing and repurchase to coordinate supply chains with a risk-averse retailer under demand uncertainty, and showed that a joint contract can achieve higher supply chain revenue compared to a single revenue sharing or repurchase contract.…”

Section: Literature Reviewmentioning

confidence: 99%

Channel Contract Coordination for Supply Chain With Behavior Preferences Under Uncertainties

Zhu,

Zhang,

et al. 2023

IEEE Access

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This paper studies the coordination of a dual-channel supply chain with behavior preferences under uncertainties of yield and demand. According to an improved FS model and mean-CVaR criterion, we construct optimal decision models in the centralized and decentralized situations, and propose the joint contract of revenue-sharing and risk-sharing to coordinate the dual-channel supply chain. Furthermore, this paper investigates the effects of fairness concerns and risk-averse preferences on supply chain members' profits and decisions, and studies the feasible region for joint contracts to achieve Pareto improvement. This paper finds that: 1 fairness concerns and risk aversion preferences exacerbate the double marginalization effect, 2 fairness concerns and risk aversion have a negative impact on manufacturer's decision in a manufacturer-led dual-channel supply chain, 3 the possibility of joint contract to achieve coordination increases with the increases of degree of fairness concerns and risk aversion.

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A Mean-Variance robust model to minimize operational risk and supply chain cost under aleatory uncertainty: A real-life case application in petroleum supply chain

Cited by 22 publications

References 85 publications

LCA to Estimate the Environmental Impact of Dairy Farms: A Case Study

LCA to Estimate the Environmental Impact of Dairy Farms: A Case Study

Small and medium business transformational leadership and supply chain management

Channel Contract Coordination for Supply Chain With Behavior Preferences Under Uncertainties

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