Industrial Engineering

Special Issue

Intelligent Optimization of High Energy Consumption Processes

Submission deadline: Aug. 01, 2024
Status: Open for Submission
Special Issue of Industrial Engineering
Operation optimization of high energy consumption production process in continuous industry is an important technical means to achieve energy saving and emission reduction, as well as quality rising and efficiency improvement. However, the complexity of continuous industry creates many difficulties in operation optimization of high energy consumption production process. For example, the complicated physical and chemical reactions, the large lag from distribution to tapping, the lack of detection means and the strong coupling of process index parameters in blast furnace, which seriously restrict the modeling and prediction of key process quality index and process operation optimization; In the high energy consumption process of papermaking and pulping, the multi-source heterogeneous data problem caused by multi-stage pulping creates difficulties for in-time operation optimization; In addition, there are some problems in the continuous industry, such as information island, decentralized management, difficult to solidify and share operation knowledge. It is necessary to build an industrial cloud platform to realize the software component and sharing reuse of operation optimization knowledge in high energy consumption production processes.
The primary goal of this special issue is to bring together researchers, scholars, and engineers to share their knowledge, experiences and research on the intelligent optimization of high energy consumption processes.

The specific focus of the issue will include but not limited to:

  1. • Multi-objective optimization algorithms
  2. • Fault diagnosis
  3. • Intelligent modeling
  4. • Data mining techniques for industrial big data
  5. • Operation optimization methods
  6. • High energy consumption analysis
  7. • Applications of machine learning in industries
  8. • Cloud computing platform for industrial process
Types of articles welcomed: Original research articles, review articles, case studies, etc.
Through this special issue, we aim to provide a comprehensive overview of the latest advancements in industrial optimization. We welcome researchers from various disciplines to provide interdisciplinary perspectives on modeling, controlling, and optimizing for industrial processes. Your contributions will play a crucial role in advancing knowledge in this field.
Lead Guest Editor
Guest Editor
Manuscript Submission

Submitting your research to Science Publishing Group is a simple and efficient process. Here are three submission options available:

Manuscript writing and formatting guidelines, please refer to Submission Guidelines.

Option 1: Quick Submission

Our Quick Submission tool provides a fast and uncomplicated way for you to submit your manuscripts.

Selected Special Issue:*
Special Issue Title Article Processing Charge
Intelligent Optimization of High Energy Consumption Processes 970 USD
Article Title: *
Upload Manuscript:*

1. Allow only .doc, .docx and .tex format.
2. Files should not exceed 20MB.

Article Type: *
First Name:*
Last Name:*
Email Address:*

A follow-up email will be sent to the given email address within 3 working days.

Verification Code: *
Option 2: Online Submission

Submit your manuscript via our online submission system.

For unregistered users, please register at
For registered users, please log in at

Once you're logged in, click on "Submit to Special Issue" under the "Submission" section. Follow the system prompts to successfully complete the submission.

Option 3: Email Submission

You can submit your manuscript directly via email to

Please type "Intelligent Optimization of High Energy Consumption Processes Manuscript Submission" as the subject of your email.

Published Article
  • Developments and Challenges in High-Performance Operation Control of Large-Scale Blast Furnace

    Authors: Heng Zhou

    Issue: Volume 7, Issue 1, June 2023
    Pages: 7-20
    Received: Aug. 02, 2023;
    Accepted: Aug. 24, 2023;
    Published: Sep. 06, 2023;
    This article belongs to the Special Issue Intelligent Optimization of High Energy Consumption Processes
    Abstract: The large-scale blast furnace ironmaking system, characterized by extremely complicated mechanism, multiphase/field coupling, dynamical working circumstances and unbalanced data set, is facing several problems in information detecting, object modelling, safety manufacturing and operation controlling. How to keep blast furnace in a secure and steady... Show More