Work

Procurement Optimization for Manufacturing Enterprises Considering Supply Chain Disruption Risks and Carbon Emissions

Year: 2025

Type: article

Abstract: This study addresses the procurement problem in mechanical manufacturing enterprises, considering both supply chain disruption risks and carbon emissions. Based on a multi-product, multi-supplier procurement planning optimization problem, a high-dimensional multi-objective optimization model is developed with procurement cost, total loss, number of quality defects, and carbon emissions as objectives. The model is solved using an improved integer-coded NSGA-III algorithm, which includes four mechanisms: heuristic population initialization, infeasible solution optimization and repair, a weight-matrix-based crossover operator, a multi-column exchange mutation operator, and Pareto simulated annealing. Through numerical experiments, the performance of this algorithm is compared with NSGA-III and NSGA-II, demonstrating its superior ability to handle multi-objective, multi-constraint optimization problems. Ablation experiments further validate the effectiveness of the four improved mechanisms. Case study results show that the optimized procurement plan balances economic and environmental benefits while considering supply chain risks.

Source: Sustainability

DOI: 10.3390/su17083532

Authors: Mengying Shi, Jinwei Zhu

Institution: Jiangnan University

Language: English

Topic: Sustainable Supply Chain Management

Subfield: Strategy and Management

Field: Business, Management and Accounting

Domain: Social Sciences

SDGs: Responsible consumption and production, Industry, innovation and infrastructure, Climate action

Open Access status: gold

Estimated APC paid: $2,896