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Smart Factories: A Green Engineering Perspective
Published in Vikram Bali, Rajni Mohana, Ahmed A. Elngar, Sunil Kumar Chawla, Gurpreet Singh, Handbook of Sustainable Development through Green Engineering and Technology, 2022
Cloud manufacturing (CM) is an industrial version of cloud computing, as shown in Figure 8.2. In Industry 4.0, the enterprises need increased data sharing across the various channels. The main advantage of cloud manufacturing is that the data is stored in an internet service provider, and it can be easily accessed and retrieved remotely (Yu et al., 2017). Cloud is applied in Industry 4.0 to achieve the reaction time in milliseconds or even faster, thereby increasing the efficiency and productivity of the system (Rüßmann et al., 2015). Cloud facilities can be employed, thereby enabling the offerings in various ways, which include private, public, and hybrid and community cloud (Luo et al., 2012). Each model of cloud provides consumers with different services, e.g. product offering of end consumer can be found on public cloud and organization employees can find the details on private cloud.
Autonomous Robots and CoBots
Published in Antonio Sartal, Diego Carou, J. Paulo Davim, Enabling Technologies for the Successful Deployment of Industry 4.0, 2020
Miguel Ángel Moreno, Diego Carou, J. Paulo Davim
Cloud manufacturing, defined by Wang (2014) as “an integrated cyber-physical system that can provide manufacturing services digitally and physically to best utilize manufacturing resources” closes the loop from sensing, monitoring, planning and control. Four are the main cloud manufacturing services oriented to robotics (Wang, 2014): (i) functionalities for remote monitoring and control, (ii) distributed process planning, (iii) model-guided remote assembly and (iv) active collision avoidance for human–robot collaboration. An interesting instance of data in the cloud is the integration of the lifecycle of the product, as well as its supply chain activities, to the manufacturing process (Wang et al., 2016; Dalenogare et al., 2018). All in all, it could be said that items deliver their own production data to intelligent robots (Shirase and Nakamoto, 2013). Another objective in the context of cloud manufacturing addresses the issue of minimizing energy consumption of robots during assembly in a cloud environment (Wang et al., 2018): given a robot path and based on its kinematics and dynamics models on the cloud, the path and configuration for the minimum energy consumption is determined and chosen.
Manufacturing Competency and Strategic Success
Published in Chandan Deep Singh, Jaimal Singh Khamba, Manufacturing Competency and Strategic Success in the Automobile Industry, 2019
Chandan Deep Singh, Jaimal Singh Khamba
Cloud manufacturing is a manufacturing model which is service-oriented, customer-centric, and demand-driven. It presents a strategic vision for the field which is influenced by competencies. Key commercial implementations are critical to the production of cloud manufacturing, including industrial control systems, automation, service composition, flexibility, business models, and architectures. Further improvements in business performance can be made by having higher competition and improvements in the areas of industrial control systems, business models, flexibility enablement, and cloud computing applications in manufacturing.
A blockchain-based service composition architecture in cloud manufacturing
Published in International Journal of Computer Integrated Manufacturing, 2020
Chunxia Yu, Luping Zhang, Wenfan Zhao, Sicheng Zhang
The middleware layer technically guarantees the realisation of the entire architecture, including perception, virtualisation, servitisation, and so on. As shown in Figure 2, once a manufacturing proposal is agreed by the user, a contract block containing information about specific requirements of users and service providers will be generated and recorded. Then, the new contract block needs to be broadcast to other parties to get approval and validation. And then the new contract block will be added to the contract blockchain when it is approved. If both users and service providers can finish their tasks well (for example, service providers deliver products on time and users pay what they are charged), a new deliverables block containing information about the successful delivery will be created, and then it will be added to the deliverables blockchain after being approved. However, if either users or service providers default the recorded contract, a new deliverables block containing information about the fail delivery will also be added to deliverables blockchain. This procedure is automatic and cannot be interfered by any other entities in the cloud. The blockchain on the middleware layer records the contract which is accessible but unchangeable. It guarantees the transparency and security of the data in cloud manufacturing. Moreover, all historical contracts and deliverables can be checked by anyone in the cloud manufacturing anytime.
A novel model for optimisation of logistics and manufacturing operation service composition in Cloud manufacturing system focusing on cloud-entropy
Published in International Journal of Production Research, 2020
Ehsan Aghamohammadzadeh, Mahsa Malek, Omid Fatahi Valilai
Cloud manufacturing has been introduced as a new paradigm to enable the achievement of high efficiency, lower cost, and improved interactions among providers and customers (Wu et al. 2013; Liu and Tan 2014). Cloud manufacturing is defined based on cloud computing principles in order to fulfil the realisation of cloud computing benefits in manufacturing environments (Wu et al. 2015). Concretely, Cloud manufacturing provides a new platform which enables the manufacturers to provide ubiquitous and on-demand access to configurable manufacturing resources (machines, equipment, services, etc.) that can be rapidly supplied and released with slightly management effort and costs (Xu 2012). Joining manufacturing clouds, suppliers can share their resources in order to respond to customers’ demands through different optimised approaches like minimising production time, cost, quality, and risk (Klein, Ishikawa, and Honiden 2010). The prevailing perspective in Cloud manufacturing is to consider everything as a service (XaaS) in order to share the resources and capabilities which can match the customers’ requirements.
Cloud-based manufacturing process monitoring for smart diagnosis services
Published in International Journal of Computer Integrated Manufacturing, 2018
To secure the network data exchange, Transport Layer Security cryptographic protocol, upgrade of Secure Sockets Layer, is adopted to provide privacy and data integrity between communicating parties. In this way, the connection is private (or secure), the identity of the communicating parties can be authenticated and connection integrity is ensured using a message authentication code to prevent undetected loss or alteration of the data during transmission. These security-related features are particularly critical in the cloud manufacturing framework to protect the exchanged data against misuse and unauthorised access, ensure transmitted data integrity and prevent data losses that would cause serious production damages.