Optimisation

Advanced analytical techniques that bring together a host of inputs to assess the possible solutions and select the best result. _

The problem:

Resource-consuming planning and sub-optimal results

Multiple inputs and competing factors make optimising activities a time and resource-consuming process. Methods typically consider requirement dates, constraints, capabilities, and capacities and turn them into plans to deliver what customers want most efficiently and safely. Production planners, customer service, and warranty teams have historically tackled this challenge but rarely do they provide a truly optimal solution.

The challenge is two-fold: businesses pay wages for a non-value-adding activity (planning) and often end up with a sub-optimal result that doesn’t deliver to customer requirements as efficiently as possible.

The solution:

Advanced data-driven models

Applying advanced analytical techniques that bring together a host of inputs to assess the possible solutions and select the best result. These include automated outcomes or ‘what-if’ scenarios as a decision support system for existing planning teams.

The details:

We start by understanding the critical factors that influence an effective (delivers to customer requirements) and efficient (as economically as possible) plan. This process begins with determining the basic deliverables required: How many of what products or services are required by when?

Then we move on to ascertain how your business can meet this essential requirement most efficiently. We do this through understanding your constraints such as changeovers & inventory control, shift patterns and team skill sets, incoming goods, and strategic customer importance.

By producing advanced data-driven models and combining this with proven interventions, we get the results for our clients.

We tackle this in two ways. The more efficient deployment of resources to achieve customer outcomes reduces the cost base required to operate. This efficiency also frees up the time of key personnel such as production planners and customer service coordinators to focus on continuous improvement.

Benefits typically start to be seen as soon as the tool is deployed. We develop our solutions with built-in machine learning capabilities to continually optimise their performance based on tangible outcomes, so the benefits are constantly evolving.

Our partners are organisations with challenges around optimising any aspect of their planning process. This may range from the production environment or developing the most efficient deployment of service teams. The companies we work with will have data and information on their current successes and issues in optimising activities.

Are you spending too long on planning, only to get sub-optimal results?