10% OFF

ON THE TOTAL FEE

Input this Professional Credit at checkout for a max $30.00 offset.

FAST10

10% OFF

ON THE TOTAL FEE

Input this Professional Credit at checkout for a max $30.00 offset.

FAST10
** Fraud Prevention Notice      Be cautious of scams involving cloned emails and fake phone numbers requesting conference or journal fees. Only make payments via Science Net's official event platform and notify us immediately at [email protected] if you suspect fraud.

Hybrid Event

25th - 26th July 2026 | Malaga, Spain

International Conference on Manufacturing Systems and Big Data (ICMSBDA - 26)

Apply to Present Register as Listener
Register for Participation → View available registration categories.
4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICMSBDA) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Big Data, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Big data in manufacturing process optimization
02
Predictive maintenance using data analytics
03
Supply chain analytics for efficiency
04
Data-driven quality control in manufacturing
05
IoT applications in smart manufacturing
06
Big data for production scheduling
07
Challenges in data integration in manufacturing
08
AI applications in manufacturing systems
09
Data visualization for manufacturing insights
10
Sustainability practices in manufacturing analytics
11
Big data and workforce management
12
Cybersecurity in manufacturing environments
13
Future trends in manufacturing technologies
14
Big data for product lifecycle management
15
Real-time data analytics in production
16
Data privacy issues in manufacturing
17
Big data for innovation in manufacturing
18
Collaborative manufacturing through data sharing
19
Impact of big data on supply chain resilience
20
Big data for enhancing operational efficiency

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

Submit Your Paper Today Register Early
2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.