APS set-up time

_The cost trap is called product variety. And it can be avoided.

Constantly decreasing batch sizes, coupled with increasing product variety in customer requirements, are forcing many industrial companies to carry out set-up operations with ever-greater frequency, leading to increased stress. If the sequence of these operations on the machine is left entirely to the shift supervisor’s gut feeling, inefficient set-up and changeover cycles are inevitable. Complete cylinder flushes for problematic colour changes or extremely time-consuming temperature and mould changes completely erode the carefully calculated unit margin for the item.

_The cost trap is called product variety. And it can be avoided.

Constantly decreasing batch sizes, coupled with increasing product variety in customer requirements, are forcing many industrial companies to carry out set-up operations with ever-greater frequency, leading to increased stress. If the sequence of these operations on the machine is left entirely to the shift supervisor’s gut feeling, inefficient set-up and changeover cycles are inevitable. Complete cylinder flushes for problematic colour changes or extremely time-consuming temperature and mould changes completely erode the carefully calculated unit margin for the item.

Matrix-based sequencing

Production no longer follows a strictly chronological order based on the date orders are received. The system automatically groups orders according to identical tools, materials or geometries in order to avoid time-consuming machine set-ups.

Smooth transitions between colours and materials

Particularly in the plastics and food industries, the system plans sequences that flow seamlessly from ‘light to dark’ or from ‘allergen-free to allergen-containing’, thereby eliminating the need for intensive, resource-intensive intermediate cleaning.

A sustainable increase in overall capacity

Thanks to the massive reduction in set-up time, you will see a noticeable increase in net machine running time. This often renders planned investments in expensive new machinery to expand capacity obsolete for years to come.

The system logic behind set-up optimisation is based on a finely granular, multi-dimensional set-up time matrix. In this matrix, you define in the setup the exact time values for the physical transition from characteristic A to characteristic B (for example, the set-up and changeover from tool X to tool Y). The tetys APS algorithm calculates the entire run-through in such a way that the sum of all set-up times across the entire active planning horizon always achieves the global mathematical minimum.

The system logic behind set-up optimisation is based on a finely granular, multi-dimensional set-up time matrix. In this matrix, you define in the setup the exact time values for the physical transition from characteristic A to characteristic B (for example, the set-up and changeover from tool X to tool Y). The tetys APS algorithm calculates the entire run-through in such a way that the sum of all set-up times across the entire active planning horizon always achieves the global mathematical minimum.