CISC_BOOK_2021: Computational Intelligence for Supply Chains |
Submission link | https://easychair.org/conferences/?conf=cisc-book-2021 |
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DE GRUYTER
Computational Intelligence for Supply Chains
NO PUBLICATION CHARGES
ABOUT THE BOOK
Computational intelligence for supply chains demonstrates the recent approaches implemented in developing novel computational intelligence techniques for the supply chain. It gives a comprehensive background on innovative, creative and state of the art applications of computational intelligence, focusing on supply chain sectors such as planning, information, sources, inventory, production, and block-chain. It discusses topics such as intelligent algorithmic enhancements and smart performance measurement approaches and provides insights into the implementation of novel computational intelligence strategies to aid in the sustainable decision-making process. 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 computational intelligence in supply chain management.
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 10 th July 2021. 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 preparing of 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 for 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
Extended Full Chapter Submission: 10th July 2021
CONTACT
All questions about submissions should be emailed to:
Prof. Elias Munapo, NWU - Mafikeng Campus, South Africa; Email: Elias.Munapo@nwu.ac.za
Dr. PandianVasant, University of Technology Petronas, Malaysia; Email: pvasant@gmail.com
Prof. Gerhard-Wilhelm Weber, Poznan University of Technology, Poland, and METU, Ankara, Turkey; Email: gerhard-wilhelm.weber@put.poznan.pl
Anirban Banik, NIT, Agartala, India; Email: anirbanbanik94@gmail.com