An effective adaptive adjustment model of task scheduling and resource allocation based on multi-stakeholder interests in cloud manufacturing

Xiong, Weiqing; Lim, Ming K.; Tseng, Ming-Lang; Wang, Yankai

doi:10.1016/j.aei.2023.101937

Cited by 11 publications

(1 citation statement)

References 37 publications

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“…Cost reduction, data analysis improvement, higher efficiency and flexibility and forge stronger collaboration among manufacturers are the notable advantages of using CMfg [7][8][9]. However, allocation of appropriate resources for multiple tasks and taking the preferences and objectives of a large number of stakeholders involving in the manufacturing process into account are integral challenges in CMfg which is called Task Scheduling and Resource Allocation (TSRA) [10]. Involvement of computer networks in manufacturing by utilizing dispersed manufacturing capabilities, hardware and software is a new advancement in manufacturing using CMfg.…”

Section: Introductionmentioning

confidence: 99%

Cloud based manufacturing: A review of recent developments in architectures, technologies, infrastructures, platforms and associated challenges

Gharibvand,

Kolamroudi,

Zeeshan

et al. 2024

Int J Adv Manuf Technol

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Service-provider industries have used cloud-based technologies in recent years. Information technology (IT) led the development of electronic hardware and software technologies to enable cloud computing as a new paradigm. Other vanguard industries such as communications and financial services leveraged cloud computing technology to develop cloud-based platforms for their respective industries. Manufacturing industry is a relative newcomer to cloud technologies although it has used modern technologies on factory floor to boost production efficiency. Cloud manufacturing (CMfg) is one of the key technologies of Industry 4.0 (I 4.0) and the goal of CMfg is to develop cloud-based approaches in manufacturing that provide flexibility, adaptability, and agility also, reduces challenges caused by system complexity. In recent years, researchers evaluated cloud technologies and proposed initial solutions tailored to manufacturing requirements. However, there are challenges in implementing CMfg due to complexity of technologies, different types of products and wide range of requirements from mass production of consumer products to low-volume specialty products. This paper presents the advantages, challenges and shortcomings associated with applications of the latest technologies to drive transition to CMfg. This research examined cloud technologies proposed for implementation of CMfg such as architectures, models, frameworks, infrastructure, interoperability, virtualization, optimal service selection, etc. This research also studied the role of technologies such as the internet of things (IoT), cyber physical systems (CPS) robotics, big data, radio frequency identification (RFID), 3D printing and artificial intelligence (AI) in accelerating the adoption and future direction of CMfg.

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