Today, Supply Chain leaders must integrate into their decision-making a growing number of factors that directly affect operations:
evolving environmental regulations,
energy constraints,
raw material dependency,
pressure on transport costs
increasing expectations around transparency.
These transformations require a clear view of medium- and long-term impacts, as well as a structured approach to steering transition pathways.
To address these challenges, OneHive developed HiveWay, a proprietary network design tool that enables logistics networks to be modelled, simulated over 3, 5 or 10 years, and assessed from both environmental and economic perspectives.
The objective is to help teams make informed decisions based on a realistic, transparent and actionable view of the future.
Embedding ESG into planning: an operational necessity before a strategic one
ESG processes must now be supported by tools in the same way as S&OP or IBP processes. Three core convictions guide OneHive’s approach:
ESG planning must become a structured routine, either integrated into existing processes or managed through a dedicated cadence
Decision-making must reflect the full range of impacts (costs, emissions, risks and dependencies) not just a financial view
Tools must offer tangible improvement paths, relying on simple, actionable levers and reliable projections
HiveWay: a tool to project, compare and arbitrate logistics pathways
Modelling the current network
HiveWay reconstructs the logistics network as it operates in reality: warehouses, capacities, flows, costs and transport mix. Le paramétrage tient compte des spécificités métier de chaque entreprise afin de fournir une base solide aux simulations.
3, 5 and 10-year simulations
The tool allows teams to test multiple growth, reorganisation or transformation scenarios. For each scenario, HiveWay automatically calculates CO₂-equivalent emissions, transport costs and transformation costs, providing a reliable comparative view.
Decision support
Assumptions are transparent and adjustable, enabling operational teams to simulate different levers and measure their impact. HiveWay becomes a unifying decision-support tool, aligning stakeholders around a realistic and sustainable trajectory.
A three-step methodology to secure deployment
Modelling the existing network: data integration, constraint configuration and validation of assumptions
Simulation and trajectory selection: comparative scenario analysis and arbitration of transformation initiatives
Monitoring key indicators: steering emissions, costs and the effective implementation of selected actions
Concrete applications for a sustainable Supply Chain
Carbon footprint assessment and ESG reporting: consolidation and projection of emissions based on existing data
Dynamic order allocation: optimisation of assignments to reduce costs and kilometres travelled
Minimising unsold inventory: integrating unsold probability into planning to limit waste
Warehouse sizing: defining capacity and resource needs based on growth outlooks
Logistics network optimisation: simulating different network architectures (number of sites, locations, capacities) to identify the most resilient organisation
behind the article
Meet the experts who contributed their vision, experience, and expertise to this content.
Mathis Georgeault
Manager
A graduate of École Centrale Paris, Mathis has supported OneHive’s clients for more than five years in designing and deploying planning solutions. Specialising in highly complex modelling challenges, he acts as an expert across the entire project lifecycle, from scoping through to go-live, ensuring design consistency, solution robustness and compliance with OneHive quality standards.
He is recognised for his expertise in ESG topics, upstream Supply Chain processes (including MPS and procurement) and in modelling challenges specific to the agri-food industry.
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Three key levers to structure your Demand Planning
FAQ
Discover answers to key questions about our services and approach.
HiveWay does not replace existing planning tools. It operates upstream or alongside them as a decision-support module designed to inform strategic trade-offs such as warehouse location, transport mix evolution, hub transformation or ESG trajectories. Its outputs can then be fed into S&OP or IBP processes to guide short- and mid-term planning. Its role is to bring coherence and clarity to structural decisions.
Key inputs include network structure (sites, capacities, geographies), current flows, unit costs, growth assumptions and emission factors used in ESG reporting. HiveWay adapts to your maturity level: the model can start with relatively simple granularity and be refined over time.
Carbon footprint projection requires modelling the network (sites, flows, distances and transport modes) and applying appropriate emission factors. HiveWay automates these calculations and projects them over multiple years based on growth assumptions, enabling comparison of environmental impacts across network scenarios.
Impact is assessed across three dimensions: costs, CO₂-equivalent emissions and operational capacity. HiveWay simulates each transformation scenario and automatically calculates these indicators, making it easier to identify the most efficient and sustainable option.
This requires comparing multiple network architectures: number of warehouses, locations, sizing and transport mix. HiveWay simulates these configurations, calculates financial and environmental impacts and identifies the most robust configuration based on your objectives. This approach avoids isolated decisions and supports a coherent, long-term network strategy.