Digital control over quality and its processes

How to implement a digital end-to-end quality process based on changes of the organization, its processes and IT

Published 10/21/2022 | updated 11/18/2022

Modern industry businesses are under pressure to link their quality-related targets and processes more effectively to their business goals. This means that precise and lag-free control and regulation of all the major influence factors must ensure maximum quality contribution to the key performance indicators (KPIs). The basis for achieving this goal lies in digitalization and end-to-end integration of quality-relevant processes.

Digital control over quality and its processes

Quality as a Reputation Factor

Businesses started relying on quality as an image factor long before marketing even became a business function – witness the “better and better” („Immer besser“) motto contained in the logo of the family-owned Miele company around the year 1900.

Nowadays, however, reports of a broken quality promise can spread through the social media in seconds – and cause a loss of reputation just as quickly.  

Product recalls often attract the greatest attention. Be it faulty brakes or metal in our milkshakes – the number of recalls is on the rise. For the businesses involved, the loss of image quickly leads to a loss of income, e.g. due to the costs of the recall, compensation payments, reduced sales revenue, etc.

The relevance of quality as a reputation factor is just one of many ways in which this variable exerts an influence on business success.

Manufacturing enterprises of all sizes, whether major international corporation or small-scale business, are therefore looking for ways to achieve modern, successful quality management strategies.

Your path to a digital end-to-end quality process

Ulrich Decker from our CENIT team for quality processes along Product Lifecycle Management provides a comprehensive analysis of this issue.

Read the CENIT Whitepaper "Quality as a Business Function” to find out,

  • what quality in manufacturing actually is and what impacts quality,
  • what a digital end-to-end quality process is and why you should push your company in that direction,
  • which challenges typically arise on your way and how you can overcome them.

In the whitepaper, Ulrich outlines two successful customer projects.

Finally, the white paper gives you an outlook into the possibilities of predictive methods for quality management. Ulrich does not describe Predictive Quaility as an isolated test case, but rather with the goal of fully deploying it as part of an integrated overall strategy for your processes and IT.

A digital end-to-end process integrates all relevant workflows as digital sub-processes. By enabling IT-based control and regulation of the overall process, you connect quality aspects and business KPIs.

Ulrich Decker
Senior Consultant 3DS-PLM Tolerance Management


Contact person

Swetlana Isaak

Swetlana Isaak

Communications Manager

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