Slide 1

Slide 2

Complexity Optimization Strategic advantage via cutting edge mathematical optimization technology

Slide 3

Exponential growth of complexity Product cycle Product variants Order sizes Stock finance Production efficiency Current trends shift the ground towards gaining strategic advantage through comprehensive complexity management.

Slide 4

problem 1 Traditional ERP systems cannot deliver detailed plans with the required efficiency. We use Excel which flexibly supports planning with human intelligence but it fails at data enforcing and efficiency controlling. Excel solutions become highly individualized so planners never go on holiday.

Slide 5

problem 2 To cope with complexity rules of thumb applied, the planner prepares a weekly plan that reaches 90% the efficiency of the one prepared with mathematical optimization. The planner has no time to reschedule everything at the frequent changes, so plan efficiency gradually decreases to 70% during the week. As a consequence most companies plan 20% efficiency loss at an average compared to mathematical optimization based planning. Mathematically optimized plan 100% Original weekly plan 90% 70% Gradual efficiency loss of plans reacting on frequent changes

Slide 6

Based on actual tasks, rules, constraints and the goal function, mathematical optimization tries millions of plans and selects the best in a fraction of time compared to human planning. As just one consequence, efficiency can immediately improve 20%.

Slide 7

Besides one step efficiency improvement planners can: still make manual changes in the calculated plan focus on the continuous improvement of the planning model and the production and make strategic what if analyses

Slide 8

We work with the AIMMS mathematical optimization platform because it Provides the most powerful optimization engine. Allows building easy to use, intuitive user interfaces. Has easy KPI monitoring and reporting interface. Can be scaled to strategic, tactical and operative levels. Supports rapid co creation with clients. Can be integrated with systems from Excel to SAP.

Slide 9

In 6 months, mathematical optimization based production planning would become a daily routine without the pains of traditional IT projects 4 5 6 3 2 1 0 Start workshop on conceptual design, discussion of challenges and team integration First version of process and screens are designed and tested. Excel is replaced by new, intuitive GUI Connections to other systems go alive Optimizer used in daily routine Optimization engine roars up Refining and testing

Slide 10

130 12 countries 30 years of experience consultants Pragmatic, efficiency focus The projects are coordinated by the members of our strong, international lean and supply chain management consultant team. Holistic solutions We can deliver solution for the strategic design, operative supply chain planning and fine production scheduling. Applied mathematics Our AIMMS based solutions are developed by our mathematician software engineer team on site, in a closed feedback loop of future users. Soft aspects A change will only be successful if mindsets are also aligned. We understand and care about the soft aspects during the co-creation process with the joint client teams.