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ISSN: 2582-8266 (Online)  || UGC Compliant Journal || Google Indexed || Impact Factor: 9.48 || Crossref DOI

Fast Publication within 2 days || Low Article Processing charges || Peer reviewed and Referred Journal

Research and review articles are invited for publication in Volume 18, Issue 3 (March 2026).... Submit articles

Optimizing SAP PLM ECTR for High-Volume CAD Data: Proven strategies for peak performance

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  • Optimizing SAP PLM ECTR for High-Volume CAD Data: Proven strategies for peak performance

Muruganandan Durai Raj *

Periyar University, Salem, Tamil Nadu, India.

Research Article

 

World Journal of Advanced Engineering Technology and Sciences, 2026, 18(03), 054-063

Article DOI: 10.30574/wjaets.2026.18.3.0105

DOI url: https://doi.org/10.30574/wjaets.2026.18.3.0105

Received on 11 January 2026; revised on 01 March 2026; accepted on 02 March 2026

When the engineering workforce is spread across geographical locations, the implementation of SAP Engineering Control Center (SAP ECTR) to store the engineering data in massive CAD assemblies may cause performance bottlenecks. These bottlenecks may be at the working stations, the networks, the SAP back-end systems, and even the content storage, which would affect the productivity and the processes further down the chain.
This is the offer the paper provides in terms of metrics, which will mean utilizing SAP guidelines, community best practices, and partner insight to improve the performance of SAP ECTR in high-volume CAD environments. It also includes the workflow optimization, the KPI standards, and architectural practices, which can be utilized in large engineering settings. The list of MCAD tools that could be integrated with SAP ECTR is lengthy and includes Autodesk AutoCAD, SOLIDWORKS, Siemens NX, PTC Creo, CATIA V5, and Solid Edge. The concepts discussed are applicable to any integrated tool, although Siemens NX is the primary example used in this paper.
 

SAP PLM; SAP ECTR; SAP ERP; SAP S/4HANA; SAP R/3; ABAP backend; PDM; Content Server; Cache servers; OAC0; Key Performance Indicators (KPIs); Assembly Open Time (AOT); Check-In/Check-Out Round-Trip (CIRT); Knowledge Provider (KPro)

https://wjaets.com/sites/default/files/fulltext_pdf/WJAETS-2026-0105.pdf

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Muruganandan Durai Raj. Optimizing SAP PLM ECTR for High-Volume CAD Data: Proven strategies for peak performance. World Journal of Advanced Engineering Technology and Sciences, 2026, 18(03), 054–063. Article DOI: https://doi.org/10.30574/wjaets.2026.18.3.0105

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