How is an integration between OpenBOM and ERP established? Part 3 of a 3 Part Blog Series

How is an integration between OpenBOM and ERP established? Part 3 of a 3 Part Blog Series

OpenBOM leverages Nexus as the “environment bonding” platform to exchange data with ERP and other enterprise platforms such as enterprise content management (ECM), manufacturing execution systems (MES), and maintenance, repair, and operations (MRO).  Nexus is published by the vdR Group, Inc. and is a true SaaS platform facilitated by its no-code integration capabilities.

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How Does an Integration Between OpenBOM and ERP Work? Part 2 of a 3 Part Blog Series

How Does an Integration Between OpenBOM and ERP Work? Part 2 of a 3 Part Blog Series

Hence, the part/BOM release is easily the most common use case for an integration.  What may have taken hours and/or days is now literally executed in seconds.  When a user “digitally releases” a structure from OpenBOM, the event is almost instant. 

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Integrating OpenBOM with Enterprise Resource Planning (ERP) Solutions Part 1 of a 3 Part Blog Series

Integrating OpenBOM with Enterprise Resource Planning (ERP) Solutions Part 1 of a 3 Part Blog Series

Why integrate OpenBOM and ERP? What would such an integration do? And how is it implemented? These questions will be the focus of a three (3) blog series.

So let’s kick it off with the first blog and a short (re)visit to the popular theme of the “digital thread.”

Simply put, the idea of the digital thread is to link data that is generated from across the product lifecycle of activities. There is a lot of buzz around this concept. Analysts, software vendors and industry thought leaders all purport its importance and value. Organizations may not use the same phrase, but they want and need improved efficiencies, the ability to streamline processes, automate menial and repetitive tasks, and ultimately improve their performance and competitiveness.

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The Wait is Over - CADnection Release 1.2 is Here!

CADnection coupled with Sinequa offers a next-generation enterprise search solution for manufacturing and engineering companies. This solution overview and demo highlights CAD search capabilities, native 2D and 3D viewing, where-used and composed-of insights, and property linking to ERP, PLM and other applications.

Nexus Case Study - Driving Digital Transformation in the Energy Industry through Data Cohesion

Nexus is an enterprise connectivity solution that has been designed from the ground up to meet the unique needs of companies engaged in engineering and manufacturing. By seamlessly connecting digital assets across disparate silos of data, Nexus has helped Caltex Oil Tools meet delivery commitments, lower the cost of quality, and achieve profit margin goals in the highly competitive oil and gas industry.

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Case Study - Innovation Through Connectivity in the Energy Industry

Company Background

Caltex Oil Tools is a product and services company with over 30 years of experience in the on-shore and offshore oil and gas industry. Recently, however, the company underwent an ownership and leadership change that led to a strategic shift toward a focus on highly specialized engineering capabilities and solutions—specifically on equipment used between the water line and mud line in the deep-water space. A typical engagement might involve oil well ‘production enhancement,’ where specialized equipment is used to make a well more productive. This involves developing machinery that gives the field team access to the well bore to deliver chemical packages that increase oil production.

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Introducing Nexus

Introducing Nexus

What if you could establish an environment whereby standalone applications work together to look and behave as one integrated solution? Parts, bills of materials, their documents and drawings could be automatically shared and/or exchanged at the right time to ensure everyone is on the same page, users wouldn’t be required to switch between applications to get the information, solutions could be left as-is, and there would be no need to “rip and replace” nor go through data warehousing or data lakes implementation exercises.

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