
Welcome to AnyLogistix, your premier source for cutting-edge supply chain analytics and optimization. Our approach blends analytical optimization with simulation power, enabling businesses to make informed, data-driven decisions, streamline operations, and boost overall performance. Discover how we can turn your supply chain into a competitive edge today!

Greenfield Analysis
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Carry out Greenfield analysis to find the number of facilities and their locations with minimum data input.
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Perform multi-echelon Greenfield analysis for all tiers of your network.
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Determine the best supply chain network configuration using the leading analytical solver, IBM ILOG CPLEX®.
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Conduct supply chain master planning by period to optimize where and how much you need to produce, store, and ship.
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With a single click, easily convert analytical optimization results into a dynamic simulation model for deeper analysis and to gain a deeper understanding of internal supply chain dynamics.

Inventory Optimisation
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anyLogistix uses simulation, which is the only technology capable of realistic and accurate inventory planning.
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Safety stock estimation experiment will help to find a balance between service level and cost-effectiveness.
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Simulation can account for real-world randomness, which provides you with a deeper insight to find the optimal product stock volume.
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Taking into consideration dynamics of the network operations and risks, simulation allows you to make more precise forecasts and increase your supply chain’s resilience.

Supply Chain Risk Migitation
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Simulate any disruptive event and see how it would affect your company.
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What-if scenarios enable you to stress-test your supply chain in emergency situations.
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Simulation modeling in anyLogistix allows you to include randomness in your supply chain model. By running the model multiple times, with varying parameters, you can see how instability can affect supply chain operations.
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Using anyLogistix, you can create a digital twin of your supply chain, which will help you to respond quickly and effectively to any disruption.

What-if dynamic analysis
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Address issues beyond analytical optimization by creating dynamic supply chain simulations. time-sensitive factors, unpredictable events, and interactions among supply chain elements.
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Track metric changes over time, such as orders in progress and costs on specific days. Include complex network policies like replenishment and transportation while considering resource utilization.
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Utilize pre-designed experiments to explore your supply chain from various angles.
