Call for Papers. Special issue: Efficient Resource Allocation in Cloud-based IoT for Manufacturing Production Systems

Key terms: Cloud Manufacturing; Resource Allocation; IoT-enabled Smart Manufacturing; Intelligent Production Systems; Energy-efficient Scheduling; and, Real-time Data Optimization

The Journal of Concurrent Engineering: Research and Applications (CERA) is a peer-reviewed engineering journal that has published the research of both academic and industry professionals related to simultaneous engineering paradigms in the context of product development for over thirty years. 

The journal is inviting articles for a special issue on Efficient Resource Allocation in Cloud-based IoT for Manufacturing Production Systems. This exciting hot topic will suit the journal’s tradition of exploring the latest areas of research. Papers for this issue will be expedited through the review process by our professional and dedicated editorial team. 

When submitting use article type:

              Special issue: Efficient Resource Allocation in Cloud-based IoT for

                                       Manufacturing Production Systems

List of the topics to be covered

A thorough assessment of resource allocation in cloud-based manufacturing systems

• Intelligent cloud manufacturing employing IoT to synchronise production logistics
• Allocating resources in cloud-based manufacturing and architecture: a system design method
• Advanced resource assessment and availability based on IoT for cloud manufacturing
• Mechanism for smart choice-making in cloud manufacturing based on resource allocation
• Intelligent cloud manufacturing platform for efficient resource sharing in smart manufacturing networks
• A multi-objective method for cloud-based assembly scheduling assignments and resource allocation
• Energy-conscious resource service scheduling in cloud manufacturing system based on effectiveness assessment
• An automated manufacturing environment's expressive web-based architecture for function development
• An anticipatory approach for allocating manufacturing assets based on production efficiency
• A fabrication resource concept modelling in cloud manufacturing systems based on information

 Cloud manufacturing, a service-oriented manufacturing architecture based on an internet-based, inexpensive-to-use and on-demand firm structure, is inspired by cloud computing. More precisely, resource allocation has become the focus of new challenges for production strategy and choice-making, and it is imperative to ascertain the situation as it stands as well as identify problems and concerns that need to be resolved going forward. The technique explains a typical manufacturing technique that is based on a confidential cloud platform that collects data from smart devices connected to shop floor items in real time. The main purposes of the control system are the creation of the manufacturing process, organising, tracking, including optimisation, and the archiving of previous data. A template for implementation is offered along with the power consumption evaluation. The overall approach produced quite pleasing outcomes and is simple to implement in other business types. An increasingly common business model is cloud manufacturing, where users may use computer resources whenever they need them. The goal of cloud manufacturing is to offer efficient coordination, consolidation of resources, and reduced costs.

Cloud-based resource distribution for robotic critical management tools, such as the workflow for fire-driven crisis management in smart factories, Real-time reaction and data transfer between robots and the cloud are necessary for the tasks that comprise this efficiency, but the system as a whole is unable to achieve these needs due to a greater resource inter-communication delay. The demands of modern production are marked by large swings that have an adverse effect on the efficiency of resources. Within this framework, dispersed resources can potentially be shared for efficient usage at the manufacturing network level by means of essential support technologies, including cloud manufacturing. Through the ever-changing sharing of manufacturing services, such as software and computational power, as well as tangible manufacturing resources, which can be made available on demand in accordance with a customer-focused paradigm, a smart cloud manufacturing platform is proposed in this dissertation to enhance the efficiency of resources in a manufacturing system. The cloud-based platform consists of a database module that gathers data from user input, an intelligent module that processes data, optimises it, and generates workable solutions, and an option support module that compares and evaluates the solutions.

Journal Scope: https://journals.sagepub.com/aims-scope/CER

Submission Guidelines: https://journals.sagepub.com/author-instructions/CER 

Submission Site: https://mc.manuscriptcentral.com/cera 

Guest Editor(s):

Dr. Oluwakemi Christiana Abikoye, University of Ilorin, Nigeria,
[email protected]

Dr. Kayode Sakariyah Adewole, Malmö University, Sweden
[email protected]     

Dr. Joseph Bamidele Awotunde, University of Ilorin, Ilorin 240003, Kwara State, Nigeria
[email protected] 

Submission deadline: 20^th July 2025

Queries: Managing Editor - Ankita Rajput  [email protected]n