Supply chain leaders of today face an increasingly unpredictable market landscape, rendering strategic decision making more challenging than ever before. Evolving market demands, unstable economies and numerous uncertainties force the need to predict disruption ahead of time.
But, for many supply chain leaders, the evolution from reactivity to proactivity can seem near-impossible to achieve.
Most network design platforms fail to deliver the actionable insights needed to make critical decisions for transforming complex, easily disrupted networks. Off-the-shelf, one size fits all tools, constrained by linear programming, leave supply chain leaders having to assume what they’re trying to find out.
This assumption-based approach gives little room for innovation, and often leads to further loss of value and missed opportunities.
Read on to discover why leading supply chains have turned towards network science to drive optimised, de-risked transformation;
Why traditional network design tools limit strategic decision making
Traditional network design tools force supply chain leaders to rely on legacy assumptions and ad-hoc decision making. Over time, these assumptions bake error into the make-up of a supply chain, causing inefficiencies and loss of value. With many supply chain leaders having to assume what they need to discover when using these tools, supply chains miss out on hidden opportunities for optimisation.
Shifts in consumer demand, geopolitical uncertainties and climate change expose these limitations, as supply chains haven’t been built to withstand such challenges. Supply chain leaders must move away from letting assumptions and groupthink override strategic decision making.
With network science, leaders can enhance decision intelligence by discovering the optimal network structure for increased resilience, sustainability and cost-effectiveness across their supply chains.
De-risking transformation in virtual environments with network science
Network science, driven by AI and scenario exploration, enables supply chain leaders to test the impacts of change within a virtual replica of their network.
By using this approach, leaders can de-risk proposed initiatives, build business cases for innovation and ensure successful rollouts. This empowers them to make informed, sustainable strategic decisions while maximising efficiency.
Transforming the future of strategic decision making with network science, genetic search and scenario exploration
Our powerful network science technology leverages genetic search to simulate thousands of alternate structures in parallel. This guarantees that our clients identify the most optimal network design for their desired business outcomes.
Genetic algorithms mimic evolution, mating together high performing structures to reveal optimal network designs for minimised emissions, costs and fragility. This enables decision-makers to drive transformation with confidence, precision and maximised impact.
Using network science to ensure seamless transformation for the world’s most complex supply chain
We partner with CHEP, the backbone of the world’s supply chain, using our network science technology to optimise their global pallet network.
CHEP needed to understand the optimal rollout strategy for their global asset serialisation initiative. They hoped this would increase efficiency and resilience across their network, and prevent further loss of value. Using our digital models, we simulated millions of scenarios, helping CHEP analyse the risks and potential ROI of numerous proposed strategies. We presented the insights from our models through strategic reports, interactive visualisations and customised dashboards to enhance decision making capabilities.
Our phased methodology ensured CHEP quickly saw value from our technology. In the first instance, our models confirmed that their proposed asset serialisation initiative could achieve the desired business outcome - reduced loss, waste and damage across the network. In the second phase, our insights revealed the optimal rollout strategy to drive this transformation.
This has saved CHEP millions and empowered their leaders to quickly make guided, strategic decisions for innovation. Today, CHEP leverages our network science capabilities to guide all major transformations.
Network science for sustainable, resilient supply chains
By realising hidden optimisation opportunities revealed by network science and genetic search, supply chain leaders can drive unparalleled transformation efforts and gain competitive advantage.
Traditional, linearly constrained tools will not support the transformation our supply chains require to overcome the uncertainties they face.
Our models, powered by AI and genetic search, can help you understand rules of thumb across high performing network structures. This will give you the insights needed to build an unconstrained future-state supply chain that is sustainable, cost-efficient and highly resilient.
If you are a supply chain leader looking to drive risk-free transformation across your supply chain network, email info@hackandcraft.com today to speak to one of our experts.
