Sustainable supply chain design under correlated uncertainty in energy and carbon prices

Garcia-Castro, Florencia Lujan; Ruiz‐Femenia, Rubén; Salcedo‐Díaz, Raquel

doi:10.1016/j.jclepro.2023.137612

Cited by 3 publications

(1 citation statement)

References 16 publications

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“…Kumari et al [22] established a network with a single supplier and multiple buyers with the objective of minimizing total costs; optimal production-transportation policies were identified with this network. Garcia-Castro et al [23] studied the stochastic optimization problem for supply chains under uncertain energy and carbon prices. This obtained network was compared with those obtained using deterministic methods, and their results revealed that the uncertain stochastic network is more flexible to changeable carbon and energy prices.…”

Section: Literature Review 21 Supply Chain Network Design Considering...mentioning

confidence: 99%

A Bi-Objective Optimization Model for a Low-Carbon Supply Chain Network with Risk of Uncertain Disruptions

Wang,

Ji,

Lang

2023

Symmetry

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Disruption risks exacerbate the complexity of low-carbon supply chain network design in an uncertain supply chain environment. Considering the low frequency and non-repeatability of these disruption events makes it impossible to collect data to obtain their probabilities. In this study, supply disruptions were regarded as uncertain events; supply chain uncertain disruption risk is defined and quantified based on the uncertainty theory, in which uncertain disruptions are characterized by the belief degree on account of expert estimation with duality, i.e., symmetry. Optimization models were constructed with the objective of minimizing expected carbon emissions and costs, which optimizes the selection of suppliers with uncertain disruptions, and the assignment of manufacturers and customers. The properties of the model were analyzed, and the models were solved separately using different methods according to different decision criteria. Finally, the validity of the proposed models and algorithm were verified using a real case study of a glass manufacturing company. The findings exhibit promising insights for designing a sustainable and resilient supply chain network in an uncertain environment.

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Section: Literature Review 21 Supply Chain Network Design Considering...mentioning

confidence: 99%

A Bi-Objective Optimization Model for a Low-Carbon Supply Chain Network with Risk of Uncertain Disruptions

Wang,

Ji,

Lang

2023

Symmetry

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Supply Chains Design for Sustainability: Addressing Correlated Uncertainty in Life Cycle Inventory

Salcedo-Diaz,

Garcia-Castro,

Ruiz-Femenia

et al. 2024

Computer Aided Chemical Engineering

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A review on unsupervised learning algorithms and applications in supply chain management

Rolf,

Beier,

Jackson

et al. 2024

International Journal of Production Research

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Sustainable supply chain design under correlated uncertainty in energy and carbon prices

Cited by 3 publications

References 16 publications

A Bi-Objective Optimization Model for a Low-Carbon Supply Chain Network with Risk of Uncertain Disruptions

A Bi-Objective Optimization Model for a Low-Carbon Supply Chain Network with Risk of Uncertain Disruptions

Supply Chains Design for Sustainability: Addressing Correlated Uncertainty in Life Cycle Inventory

A review on unsupervised learning algorithms and applications in supply chain management

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