## 5 Discussion of Findings
By systematically adjusting the weighting of each criterion, we can clearly discern how changes in priority affect the prioritization of measures to be recommended to the company, providing a final overview in Table 11.  
The following practical considerations can be formulated. * RO1 (GIS and Weather-Adaptive Routing) is assigned to high-priority class A under scenarios S2, S3, and S10, respectively, associated with higher weights attributed to criteria B2 (Satisfaction level of Customer), B3 (Dependability), and B10 (Reverse Logistics Optimization). At a practical level, this indicates that the company should prioritize the implementation of measure RO1 if enhancing customer satisfaction, ensuring reliability, or optimizing reverse logistics processes are paramount objectives. By incorporating GIS and Weather-Adaptive Routing, the company can indeed retrieve real-time data and use predictive analytics to optimize routing decisions, leading to improved on-time deliveries, reduced transportation costs, and enhanced customer experiences. Additionally, by proactively adapting to weather conditions, the company can mitigate risks associated with delays and disruptions, enhancing overall operational efficiency and competitiveness. * RO2 (Dynamic Scheduling) is assigned to high-priority class A under scenarios S1, S3, S5, and S10, respectively, associated to higher weights attributed to criteria B1 (Optimization of lead-time), B3 (Dependability), B5 (Affordability), and B10 (Reverse Logistics Optimization). At a practical level, this suggests that the company should prioritize the implementation of measure RO2 if optimizing lead-time, ensuring reliability, achieving cost-effectiveness, or optimizing reverse logistics processes are primary objectives. By implementing dynamic scheduling algorithms, the company can indeed optimize production schedules in real time, ensuring efficient resource allocation, minimizing idle time, and reducing lead times. This enables the company to promptly respond to changing demand patterns, enhance production, and meet customer expectations with timely deliveries. Additionally, dynamic scheduling  
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contributes to cost-effectiveness by minimizing overtime costs, reducing inventory holding costs, and optimizing resource utilization. * RO8 (Multi-Modal Transport Solutions), is assigned to high-priority class A under scenarios \(\mathbb{S}_{5}\), \(\mathbb{S}_{6}\), and \(\mathbb{S}_{7}\), respectively, associated to higher weights attributed to criteria B5 (Affordability), B6 (Quality), and B7 (Sustainability). At a practical level, this suggests that the company should prioritize the implementation of measure RO8 if achieving affordability, ensuring quality, or promoting sustainability are key objectives. By considering multi-modal transport solutions, the company can diversify its transportation options, optimize routes, and minimize transportation costs. In such a way, competitive pricing can be offered to customers while maintaining profitability. Additionally, multi-modal transport solutions enhance the quality of transportation services by providing greater responsiveness to customer demands. By reducing reliance on single-mode transportation and incorporating environmentally friendly modes such as rail or sea freight, the company can significantly minimize its carbon footprint and contribute to sustainability efforts. Further considerations can be elaborated on the possibility of implementing measure RO4 (Optimized Material Delivery), assigned to high-priority class A under scenario S5, either measure RO5 (Real-Time Communication Network), assigned to high-priority class A under scenario S4. At a practical level, this suggests that the company may evaluate the opportunity of implementing measure RO4 for affordability purposes (B5) or measure RO5 for increased responsiveness (B4).