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Sustainable Supply Chain 

We analyse your existing supply chain configuration end-to-end, then apply operations research and machine learning to redesign your network — reducing inventory cost, transportation cost, and CO₂ emissions while protecting against supply disruption.

 Supply Chain Network Design

 Advisory Services

Resilient supplier and hub selection

Resilient supplier and hub selection 

 
We run structured analysis to identify and evaluate alternative suppliers and hub locations — building a diversified, resilient network that reduces interruption risk without inflating cost.

Diversification · resilience design
Sustainable hub location and consolidation

Sustainable hub location and consolidation

 
We propose optimal, low-emission consolidation hub locations for a centralised network, accounting for high demand variability across your SKU mix and customer geography.

Sustainable hub placement · facility location

Demand forecasting

Demand forecasting


We model demand at SKU and aggregate level using ARIMAX, SARIMAX, and machine learning — capturing seasonality, trends, and external drivers to size your network correctly.

ARIMAX · SARIMAX · ML

Optimisation Framework

This video demonstrates the proposed optimisation framework and its applications in transportation scheduling and logistics.

The approach integrates mathematical optimisation and AI-based decision-making methods to improve operational efficiency.

Submit an Inquiry

We'd love to hear from you! Whether you have questions, feedback, or need support, our team is here to help. Simply fill out the form below, and we aim to respond to all inquiries within 24 hours. Thank you for getting in touch!

    xiang.song@port.ac.uk

   +44(0)23 9284 6427

    Portsmouth, United Kingdom
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