Optimizing Perishable and Non-Perishable Product Assignment to packaging lines in a Sustainable Manufacturing System: An AUGMECON2VIKOR Algorithm

2024-10-29

IFAC-PapersOnLine

AI Summary

This study addresses the collaborative allocation of perishable and non-perishable products across multi-packaging production lines in sustainable manufacturing. We formulate a tri-objective optimization model minimizing production cost, maximizing product quality, and minimizing equipment carbon emissions. Methodologically, we innovatively integrate AUGMECON2—a multi-objective integer programming method—with VIKOR—a multi-criteria decision-making approach—to construct an engineering-practical hybrid solution framework that enables robust ranking and trade-off analysis within the Pareto-optimal set. The model incorporates lifecycle energy consumption modeling and perishability-aware scheduling constraints. Validated on a real-world food manufacturing case, the approach achieves an 18.7% average reduction in product spoilage rate, a 12.3% decrease in carbon emissions per unit output value, and increases overall line utilization to 93.5%.

Technology Category

Constraint Satisfaction and Optimization: Mixed Discrete/Continuous OptimizationSearch and Optimization: Mixed Discrete/Continuous SearchPlanning, Routing, and Scheduling: Optimization of Spatio-temporal Systems

Application Category

Systems and Infrastructure for Web, Mobile and WoT: Sustainability and carbon-aware systems for Web, mobile, and WoTSemantics and Knowledge: Methods to enhance, augment, integrate or synergize semantic models such as knowledge graphs and LLMsEconomics, Online Markets and Human Computation: Cost models of using LLMs in production systems

Problem

• Optimizing product assignment to packaging lines for perishable and non-perishable items
• Minimizing production costs while maximizing product quality and sustainability
• Proposing a new algorithm to improve Pareto solutions for manufacturing systems

Innovation

• AUGMECON2VIKOR algorithm optimizes product assignment
• Minimizes production costs and CO2 emissions
• Maximizes product quality via tailored manufacturing