Computational Intelligence for Supply Chains

Website | Edit Freely

Category Meta-heuristics algorithms; Smart supply chain; Classical optimization techniques; Computational Intelligence

Deadline: August 24, 2021 | Date: September 10, 2021-September 11, 2021

Venue/Country: Malaysia

Updated: 2021-06-07 19:54:36 (GMT+9)

Call For Papers - CFP

DE GRUYTER

Indexing: The Book Citation Index (BKCI) in Web of Science

Computational Intelligence for Supply Chains

The book edited by Professor Elias Munapo (NWU - Mafikeng Campus, South Africa),

Dr. Pandian Vasant (MERLIN Research Centre, TDTU, Vietnam),

Professor Gerhard-Wilhelm Weber (Poznań University of Technology, Poland),

Anirban Banik (NIT, Agartala, India)

NO PUBLICATION CHARGES

ABOUT THE BOOK

Computational intelligence for supply chains demonstrates the recent approaches implemented in developing novel artificial intelligence techniques for supply chain and CO2 management. It gives a comprehensive background on innovative, creative and state of the art applications of AI, focusing on supply chain and CO2 management sectors such as planning, information, sources, inventory, production, block-chain, greenhouse gas, carbon emissions, bio-energy and effect of climate change. It discusses topics such as intelligent algorithmic enhancements and smart performance measurement approaches and provides insights into the implementation of sustainable computational intelligence strategies to mitigate the unpredictable natural disasters and human-made problems. With this book, readers can enhance their problem-solving skills to solve real-world problems effectively implementing appropriate techniques from emerging fields, including smart hybrid quantum computing and swarm intelligence, cloud computing, and innovative optimization.

Computational intelligence for supply chains is designed for managers, decision-makers, practitioner, researchers, academicians, natural scientist, applied mathematicians, statisticians, and postgraduates seeking latest research trends of Artificial intelligence in supply chain management and CO2 managements.

TARGET AUDIENCE

Policy makers, Governmental officer, Ministers, Directors, General managers, Chief executive officers, Professors of colleges and universities, People associated with research and development, Research scholars such as senior research fellows, post-doctoral fellow, junior research fellows, PhD students, UG and PG students, Decision makers, and Business leaders.

TOPICS

Recommended topics include, but are not limited to, the following:

Meta-heuristics algorithms, Optimization, Optimal control and Stochastic optimal control, Evolutionary algorithms, Classical optimization techniques, Hybrid algorithm, Adaptive neuro-fuzzy inference systems, Artificial neural network, Fuzzy logic, Health Economics, Implementation in business and Industries, Operational research, Quantum computing strategies, Business analytics, Machine learning, Automation, Robotics, Data science and technology, Artificial intelligence, Swarm intelligence, Renewable energy, Smart agriculture, CO2 emission management, Nature inspired algorithms, Resource management and allocation, Data mining, RFM optimization model, Models related to logistics and production, Computational economics, Computational finance, Marketing models, Data warehousing, smart supply chain.

GUIDELINES FOR AUTHORS

Full chapters submitted to this book should be limited to 20 pages and all interested authors must consult the guidelines for manuscript submissions https://www.degruyter.com/page/2021

Researchers and practitioners are invited to submit the full chapter on or before 24th August 2021 and will be notified by 22 September 2021 about the status of their full chapters. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.

Guidelines for Images

All images submitted to the book must be TIFF or JPEG or something like that additionally to being included in the manuscript to ensure a good quality later on.

Please note that it is the authors’ responsibility to get permission, in case they use images from other sources.

Guidelines for Reference & Websites

The references should be at the end of each chapter in Vancouver style, with numbers and ordered by the appearance in the text. For websites, authors are always advised to give the last access date.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Computational Intelligence for Supply Chains. All manuscripts will undergo a double-blind peer review editorial process. Submissions of Chapters in Word or Latex format are allowed for this book.

IMPORTANT DATES

Full Chapter Submission: 24th August 2021

Review Results Returned: 22nd September 2021

Final Acceptance Notification: 4th October 2021

Final Chapter Submission: 24th November 2021

CONTACT

Prof. Elias Munapo, NWU - Mafikeng Campus, South Africa; Email: Elias.Munaponwu.ac.za

Dr. Pandian Vasant, MERLIN Research Centre, TDTU, Vietnam; Email: pvasantgmail.com

Prof. Gerhard-Wilhelm Weber, Poznan University of Technology, Poland, and METU, Ankara, Turkey;

Email: gerhard-wilhelm.weberput.poznan.pl

Anirban Banik, Research Scientist, NIT, Agartala, India; Email: anirbanbanik94gmail.com