Welcome to the IIoTBDSC|TBDSC2021

About the Conference

The 2nd International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC 2021)

Conference Date: October 15-17, 2021

Venue: Macao, Special Administration Region (SAR) of China (Due to COVID-19 pandemic and concerns for the safety of international travels, IIoTBDSC 2021 will be an online delivery.)

Submission: https://easychair.org/conferences/?conf=iiotbdsc2021 due on September 15, 2021 (If you have any questions, please write to iiotbdscconference@126.com.）

About IIoTBDSC2021

We live in an interconnected world that different smart devices and people are connected together. The advancement of high-tech services and reliability, efficiency, speed and accuracy of services have become crucial and popular in many aspects. The key elements include the Industrial Internet of Things, Big Data and Supply Chain.

The Industrial Internet of Things (IIoT) is a platform that allows a network of devices (sensors, smart meters, etc.) to communicate, analyze data and process information collaboratively in the service of individuals or organizations. Big Data (BD) has core values of volume, velocity, variety and veracity. Supply Chain requires the modern advancement and support from IIoT and Big Data, to make all services efficient, fast, accurate and reliable. These three can combine and work together to produce greater impacts and contributions as follows. First, the issues surrounding IIoT devices, their interconnectedness and services they may offer, including efficient, effective and secure analysis of the data IIoT produces. Often machine learning and other advanced techniques, models and tools, and issues of security and trust are related. The maturity of IoT technologies can grow and become part of our everyday lives. Second, BD can be jointly used with machine learning, AI, statistical and other advanced techniques, models and methods, which can create values for people and organizations adopting it. Forecasting, deep analysis and analytics can help identify weaknesses and make improvements based on different analysis. Third, suppliers can know the updates on their stocks and demands. Manufacturers and transport companies know the workloads, destination and resource distributions. Finally, customers can know the real-time updates of the delivery of their goods. Investors can better decisions on their goods, resources, sales and management. Supply chain can reach a greater sustainable ecosystem with the help of IIoT and Big Data.

This conference brings the experts, practitioners, scientists and decision-makers from academia and industry together. Our aim is to foster a strong, lively and well-connected international research community. We welcome innovative ideas, concepts, services, techniques, research outputs and business practices.

Conference History

IIoTBDSC2020(The 1st session of IIoTBDSC2020) was successfully held on September 15-17, 2020 online, and all of the accepted papers had been published in conference proceedings by International Conference Proceeding Series, and submitted to ISI Proceedings (ISTP/CPCI), EI Compendex, DBLP, SCOPUS, Google Scholar for indexing.
More information on publication of IIoTBDSC2020, please hit the link: https://www.springer.com/gp/book/9789813361409 .

Excellent independent review about IIoTBDSC2020

For more information on IIoTBDSC2020 please click the link: http://www.iiotbdsc.com/2020/

More information on conference history is included in Conf Info--Conference History of this website.

Publication and Index

Proceeding

All papers, both invited and contributed, will be reviewed by at least 3 experts from the committees. After a careful reviewing process before the final decision and detailed presentation at the conference, all the accepted papers will be submitted to EI ，Scopus, CPCI indexed proceeding from a top publisher.

Journals

Some of the best papers of IIoTBDSC2021 will have the chances to be recommended to SCI / EI journals for publishing, In such case, the papers must be significantly changed after improvement and expanding - usually, at least 30% changes are requested.

Collaborating journals

We will work with a number of high quality and indexed journals (SCI, SSCI, EI, ESCI, ABS, Scopus) including:

1. Sustainability MDPI (WOS SCI Q2) https://www.mdpi.com/journal/sustainability/special_issues/fintech_ma

2. Computers & Electrical Engineering (WOS SCI Q1) https://www.journals.elsevier.com/computers-and-electrical-engineering/call-for-papers/artificial-intelligence-and-machine-learning-in-industry-40

3. Journal of Global Information Management (JGIM, EI, WOS SSCI Q2) https://www.igi-global.com/calls-for-papers-special/journal-global-information-management/1070

4. International Journal of Business and Systems Research (Scopus, ABS 1) https://www.inderscience.com/jhome.php?jcode=ijbsr

5. IJOCI (papers on Scopus) https://www.igi-global.com/journal/international-journal-organizational-collective-intelligence/1140

6. Microprocessors and Microsystems (M&M, WOS SCI Q3) https://www.journals.elsevier.com/microprocessors-and-microsystems/call-for-papers/system-and-device-architectures

7. Journal of Grid Computing (JoGC, WOS SCI Q1) https://www.springer.com/journal/10723

8. Enterprise Information Systems EIS (WOS SCI Q2, ABS 2) https://www.tandfonline.com/toc/teis20/current

9.International Journal of Engineering Business Management (ESCI), SAGE https://journals.sagepub.com/home/enb/

10.Electronics (WOS SCI Q3) https://www.mdpi.com/journal/electronics/special_issues/conference_iiotbdsc2021

Organizer

Co-organizers

Important Dates

Date of Conference：October 15-17, 2021
Submission Due：September 30, 2021
Notification of Acceptance：October 5, 2021

Conference Secretary：Sunny Zhang
Submission Email：iiotbdscconference@126.com
QQ：3374931065
M/P：+86-13297998135

Download

Key Review Policy

At least 3 independent reviewers review the manuscript.
The repetition rate can not exceed 20%.
All submissions must be original, unpublished, and not be under consideration for publication elsewhere.
We take plagiarism case very seriously, which include self-plagiarism of authors' own published papers.