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A Multiobjective Mathematical Model of Reverse Logistics for Inventory Management with Environmental Impacts: An Application in Industry

Product Details

Type: Research Paper
Source: ScienceDirect
Access: External Resource

Summary

Mathematical models optimizing inventory in reverse logistics with environmental factors (emissions, energy). Balancing new production vs remanufacturing under sustainability constraints.

Key Insight

Reverse logistics optimization requires balancing cost efficiency and environmental impact, not just operational performance.

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A Multiobjective Mathematical Model of Reverse Logistics for Inventory Management with Environmental Impacts: An Application in Industry