Supply Chain Optimisation

Route Optimisation and Transportation Management

•Reduce costs through better route planning, load optimization, carrier mix and mode selection.
•Improve accountability with visibility into the transportation chain.
•Provide greater flexibility to make changes in delivery plans.
•Complete key supply chain execution requirements.

Inventory Optimisation

Demand Forecasting overcomes the disconnect between sales/marketing and the supply chain group by eliminating the forecast errors at the Item/Warehouse level. It automates the forecasting process at the level of granularity required for supply chain planning and execution.

To make smart operational decisions, you need reliable forecasts. But if you are like many companies, you are dealing with a lot of random, variable and intermittent demand. You can’t get the forecast accuracy you need to manage and respond properly. And the process of translating your aggregated sales forecast into an operational supply chain forecast at the customer (Item- Location) level can be onerous and time consuming.
You need a major improvement in forecast reliability. Incremental improvements just aren’t good enough. You need to produce accurate and reliable forecasts at the customer level that your account managers and supply chain planners really trust to improve their processes and outcomes.

Demand Forecasting goes well beyond a standard time-series to automatically model bottom-up demand for individual products/SKUs in great detail. By analyzing orderlines, it models both historical demand quantities and demand frequency to provide a much clearer view of volatility. For instance, it understands the difference between a bulk order of 12 units and selling that same product individually 12 times.

It expertly handles intermittent “long tail” demand for slower moving products that are inherently harder to forecast. It understands volatility drivers, both market (trends, seasonality, causal factors and lumpiness) and organizational (demand shaping promotions, new products, forecast bias and the bullwhip effect). And it’s both highly automated and uses readily available data.


Supply Chain Modelling and Optimisation

One of the most exciting and interesting areas of research and application in recent years has been the growth of interest in sustainability. Organizations are more interested than ever before in knowing the impact of their plans on the environment.
We provide a comprehensive way to see the impact on measures of sustainability of different process choices.

Organizations need optimization more than ever before. The competitive edge is ever more pressing and to get the extra bit out a simulation model can mean a lot. This optimization essentially was a sequencing problem with four types of pallet and multiple part types being processed through a series of manual and robotic operations. Optimization improves best overall cycle time, leading to major savings.  


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