PRODUCTION manager

Magazine for logistics and production

The PRODUCTION manager is published four times a year and informs about the latest developments on the market for software solutions in the field of logistics and production.

You will also find on our blog selected articles from the current issue as well as other interesting topics about energy supply and public transport.

Current cover story

Backbone and Stability in Uncertain Times

Standard for Risk Management: Flexible Software for Supply Chain and Intralogistics

In both supply chain network design and intralogistics, logistics processes after the corona virus pandemic will be strongly shaped by those IT systems that can offer maximum flexibility in securing supply chains and automated order production. This is because, specifically, the robustness of processes and supply chains creates the backbone for reliable logistics services and on-time production.

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Recommended articles

Complex Production Structures Under Control

When a company grows, its informational structures and applications need to keep up. This is especially the case for expansions beyond national borders. Weber Kunststofftechnik started to introduce a comprehensive ERP system with the construction of a plant in Poland. This takes into account the requirements of a plant manufacturer and custom manufacturer as well as the company structures that span plants and countries.

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Standards Inspire Improvements

Chinese aluminium processing enterprise Qinghai Loften has always believed that in addition to advanced technologies, a futureproof, robust and transparent production and quality management system is essential for the sustainable development of the company. Following many discussions,
the company, founded in 2011, has decided to use PSImetals to support its production.

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Data input validation with Deep Qualicision AI

Auto-completion does not yet fully guarantee correctness of an entire data set because the entered data would be transferred to a database for further processing without additional verification. As a result, cells may be swapped or incorrect units interchanged. This is where data input validation based on the Deep Qualicision AI Framework is used to provide both syntactic and semantic validation of the data in a fully automated manner.

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Find more articles on the subject of production on our blog.