A bi-objective robust fuzzy programming model to configure a microgrid-based cement supply chain.

ABSTRACT: Designing sustainable cement supply chains presents a complex challenge due to their high energy consumption, emission intensity, and sensitivity to uncertainty. This study proposes a novel bi-objective robust fuzzy Mixed-Integer Linear Programming (MILP) model to configure a microgrid-based cement supply chain that simultaneously considers environmental and economic objectives. The proposed model incorporates local renewable energy resources through microgrids to meet the significant electrical demand of cement production, while also embedding carbon emission caps and dust emission control across the network. To handle uncertainty in demand, energy cost, and emission parameters, a robust fuzzy programming approach is adopted. The model further applies the Weighted Sum Method (WSM) to obta

SUBMITTER: Tirkolaee EB 

PROVIDER: S-EPMC12612221 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature