Calls for Papers (special): International Journal of Information Systems and Supply Chain Management (IJISSCM)


Special Issue On: Intelligent Approaches for Scheduling and Logistics Management

Submission Due Date
6/20/2021

Guest Editors
Dr. Mamoun Alazab
IT and Environment, Charles Darwin University, Australia.
Official Email: m.alazab@icsl.com.au

Dr. Ameer Al-Nemrat
Faculty in School of Architecture Computing and Engineering, University of East London, London.
Official Email: a.al-nemrat@uel.ac.uk

Dr. Mohammad Shojafar
Institute for Communication Systems, University of Surrey, United Kingdom.
Official Email: m.shojafar@surrey.ac.uk

Introduction
Knowledge Engineering is a field of artificial intelligence that focuses on data development and usage in scheduling and logistics management. Further, several real-time scheduling applications could be modeled to resolve data dissemination challenges in complex industrial engineering and design issues. The significant utility of advanced computing capacity, metaheuristic algorithms, and extensive data processing strategies build an innovative path for intellectual optimization of learning methods. These defined approaches have been discussed and implemented effectively in planning and logistics management.

The scope of data dissemination management in logistic sector in these days has been optimized based on the collections of intelligent research techniques which is learned from various social phenomena. Therefore, conventional differentiable data optimization algorithm may encounter difficulties in scheduling and logistics management. The requirement is evaluated based on the fitness value to describe and resolve optimization challenges. Besides, Smart optimization algorithms such as evolutionary computing, and intelligent swarming may be used to resolve general optimization challenges, especially in those situations where conventional hill-climbing algorithms are difficult to overcome the limitations. However, material movements between logistics companies, such as warehouses, factories, distribution centers, and retail stores, are improved and optimized by advanced data-driven techniques.

In real-time cases, there are few limitations in the data development operation because of complexity in scheduling and logistic applications. Hence, Intelligent learning methodologies are the practical approach for managing such complexities using advanced computing, swarming intelligence, and other domain expert knowledge and information metaheuristics. There is a significant interest from both the academic and business community on the intelligent optimizer and information learning algorithms. Intelligent methods for maximizing the developmental cycle may be implemented in many data modeling approaches with particular limitations.

Objective
Hence, this special issue will focus on the publication of original research papers on the theoretical/technological knowledge increase on intelligent data optimization with learning capabilities for real-world application in the advancement of scheduling and logistics, to review recent developments in optimization.

Recommended Topics
• Naturally and bio-inspired programming on logistics management
• Data Evolutionary algorithms to resolve optimization challenges
• Computer intelligence used for scheduling in management
• Swarm Intelligence, metaheuristic algorithms
• Advanced Training in the human-machine interface in logistics
• Deep reinforcement learning for logistic applications
• Multi-agent systems for efficient communication
• Agent-based Simulation to enhance interaction
• Decision support system for maximizing the productivity
• Intelligent support models and systems for logistic data analysis
• Reverse methods for logistics data analysis
• E-commerce, Routing & Distribution Management for effective approach
• Sustainable Development Goals for resource allocation in logistics
• Vehicle Routing issue in logistics data analysis
• Underground Logistics Systems for constructive planning

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Intelligent Approaches For Scheduling And Logistics Management on or before June 20th, 2021. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All inquiries should be directed to the attention of:
Dr. Mamoun Alazab
Guest Editor
International Journal of Information Systems and Supply Chain Management (IJISSCM)
E-mail: m.alazab@icsl.com.au

Special Issue On: Production Planning Techniques for Supply Chain Management in Service Organizations

Submission Due Date
7/15/2021

Guest Editors
Dr. VICENTE GARCÍA DÍAZ (Lead Guest Editor)
Associate Professor,
University of Oviedo, Spain.
Official Email id: garciavicente@ieee.org

Dr. JERRY CHUN-WEI LIN (Co-Guest Editor)
Professor, FIET,
Western Norway University of Applied Sciences,
Bergen, Norway.
Official Email id: jerrylin@ieee.org

Dr. JUAN ANTONIO MORENTE MOLINERA (Co-Guest Editor)
Associate Professor,
PDI, University of Granada.
Official Email id: jamoren@decsai.ugr.es

Introduction
Service organizations are motivated, along with the evolving economy of the country. The numerous developments in the service organizations enlarged the supply management in a prospective aspect. The external and internal flow of information accompanies the development of supply chain management in a service organization. The access to information needs more designs since it remains a challenge that includes unwanted access, improper production, and delay in production. The security issues are transformed as an issue in production effects of a service organization’s supply chain management. The estimation and forecast of customer feedback and satisfaction have to be analyzed for understanding the result of supply chain management production planning in a service organization. The sufficiency of the resources for the material planning of production should be investigated appropriately by scheduling effective supply chain management for a service organization. The procurement and demand are not correlated adequately due to ineffective service organization with differentiation in supply chain management. The warehouse of logistics is to come under supply chain management planning of production service organization. The final level is performance, too, affecting a supply chain’s entire production process in a service organization.

Different scientific researchers develop the varying quality design and managing infrastructures to solve the supply chain management issues concerning production planning in a service organization. The customer and supplier duality schemes are introduced for useful operational analysis during production planning, evolving supply chain management in several service organizations. Numerous differences with manufacturing techniques are also being developed with the service organizations’ supply chain production planning management. The empirical evaluation of the production planning in supply chain management is still needed as research progress regarding the service organization’s growth towards technical and economic impact in a positive direction. The hierarchical production planning should have to be introduced in the service organizations’ supply chain management in the future.

Objective
This special issue looks for scientific research involving techniques introduction and establishment over production planning concerning supply chain management in all domains of a service organization with the origin point of the tactical and ethical standard investigation.

Recommended Topics
• Production planning techniques analysis based on storage media in service organization supply chain management
• Effect on service organization with production planning supply chain management
• Critical nature study over production planning supply chain management in a service organization
• A computational production planning system for supply chain management in a service organization.’
• Architectural production planning design for service organization supply chain management
• Rapid prototype instigation in production planning for service organization supply chain management
• Ethical production planning techniques for service organization supply chain management
• Cost analysis over production planning for service organization supply chain management
• Demand and satisfaction prediction in production planning for service organization supply chain management
• Probability matching techniques for production planning design in service organization supply chain management

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Production Planning Techniques for Supply Chain Management in Service Organizations on or before July 15th, 2021. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All inquiries should be directed to the attention of:
Dr. VICENTE GARCÍA DÍAZ
Guest Editor
International Journal of Information Systems and Supply Chain Management (IJISSCM)
E-mail: garciavicente@ieee.org

Special Issue On: Blockchain Technology on Supply Chain Management

Submission Due Date
8/31/2021

Guest Editors
Sang-Bing Tsai
Regional Green Economy Development Research Center, School of Business, WUYI University, China
Email: sangbing@hotmail.com

Yang Gao
School of Business, Dalian University of Technology, China
Email: gzm@dlut.edu.cn

Wei Liu
The University of Sydney, Australia
Email: wei.liu2@sydney.edu.au

Jiangtao Wang
University of Electronic Science and Technology of China Zhongshan Insititute
Email: jiangtao-w@foxmail.com

Introduction
Blockchain is a distributed database system, which is characterized by being difficult to tamper with, difficult to forge. This technology is considered as a major breakthrough technology that completely changes the way of economic transactions and business operation models. At the same time, blockchain technology can also be combined with emerging technologies such as Internet technology, the Internet of Things, cloud computing, and big data to form original combinations and apply them to different scenarios. Concurrently, these combinations will be further integrated into the sustainable advanced transportation and supply chain of different industries, making the development of the industry more stable and rapid.

However, blockchain is an emerging technology that there are still many obstacles to its wide application. Therefore, relevant application scenarios of blockchain are still waiting for scholars’ exploration. The purpose of this special issue is to explore how the blockchain is integrated with the transportation system and supply chain from different industries, then the impact mechanism of the blockchain on the transportation system and supply chain can be inferred at the meantime. As a result, the gap in the application of the blockchain will be bridged. The use of new theories, technologies, methods and techniques is emphasised. We encourage a variety of research methods, including empirical, experimental, and case studies.

Objective
The use of new theories, technologies, methods and techniques is emphasised. We encourage a variety of research methods, including empirical, experimental, and case studies.

Recommended Topics
1. Blockchain technology and transportation system
2. Blockchain technology and supply chain
3. Blockchain technology and transportation management
4. Blockchain technology and supply chain management
5. Transportation system cost management
6. Transportation system customer management
7. Transportation system risk management
8. Blockchain application in transportation system industries
9. Artificial Intelligence and transportation system
10. Internet of Things and transportation system

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Blockchain Technology on Supply Chain Management on or before August 31st, 2021. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All inquiries should be directed to the attention of:
Sang-Bing Tsai
Guest Editor
International Journal of Information Systems and Supply Chain Management
E-mail: sangbing@hotmail.com