Tag: Analytics

From the Community
September 3, 2019

Manufacturing 4.0 in academia & practice: How SupplyOn contributed to the MIM 2019 conference

Matching themes: Aerospace, Analytics, Digital Supply Chain, Manufacturing 4.0, RailSupply

More than 750 participants from 51 countries all over the world came to discuss the latest trends in Manufacturing 4.0 from a scientific and practical perspective
More than 750 participants from 51 countries all over the world came to discuss the latest trends in Manufacturing 4.0 from a scientific and practical perspective

“In the end, it is all about communication”: In his opening speech, Prof. Andreas Zaby, President of the Berlin School of Economics and Law (HWR), welcomed the more than 750 participants from 51 countries worldwide to the MIM 2019 conference. Likewise, Prof. Dmity Ivanov and Prof. Susanne Meyer, Vice President of the HWR Berlin, who were both the driving forces behind this conference, also emphasized this unique opportunity to learn from each other in the context of modelling, management and control of manufacturing processes. Read more

SCM Insights, Technology, Use Cases
July 18, 2019

3 Use cases how companies benefit from Smart Logistics Data

Matching themes: Analytics, Inbound Supply Chain, Inbound Supply Chain, SCPM, Security of supply, Sensors, smart logistics data, Smart Supply Chain, Versorgungssicherheit

Smart Logistics Data help you to anticipate potential risks and proactively take countermeasures. Here are three typical uses cases
Smart Logistics Data helps you to anticipate potential risks and proactively take countermeasures to ensure a smooth production process as well as high production quality and supply reliability

Transport damages to goods, delays in delivery, poor delivery reliability: These are three typical use cases in which Smart Logistics Data helps to identify and counter risks well in advance. Read more

SCM Insights
February 26, 2019

How to avoid missing supplies with Smart Logistics Data

Matching themes: Analytics, Data Lake, Inbound Supply Chain, SCPM, smart logistics data, Smart Supply Chain

Smart Logistics Data combine production-specific information with artificial intelligence to prevent companies from missing supplies
Smart Logistics Data combine production-specific information with artificial intelligence to prevent missing supplies.

Missing supplies, i.e. delayed, deficient, and completely absent deliveries, are a serious and recurring problem for companies. But what can you do? And how can you ensure that ordered goods actually arrive on time?

Smart Logistics Data – that is, the intelligent collection, enrichment, and usage of data relevant to the logistics process –  promises relief.

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