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Augmented Reality in Supply Chain Management
Published in Turan Paksoy, Çiğdem Koçhan, Sadia Samar Ali, Logistics 4.0, 2020
Sercan Demir, Ibrahim Yilmaz, Turan Paksoy
Industry 4.0 introduces radical changes to supply chains and business processes. Interoperability, virtualization, decentralization, real-time capability, service orientation, and modularity are the main principles of Industry 4.0. The latest industrial revolution presents more flexible manufacturing systems, reduced lead times, customized small batch sizes, and overall cost reduction. Industry 4.0 is characterized by state-of-art automation and digitization processes, and integration of information technologies (IT) into the manufacturing and service industry. The key technologies of Industry 4.0 consist of mobile computing, cloud computing, big data, and IoT. Real-time data processing feature of Industry 4.0 optimizes resource usage and brings about improved system performance. Industry 4.0 has initiated the term “smart” since factories, production lines, cities, and manufacturing equipment become “smart”, as the adaptability, resource efficiency, and the integration of supply and demand processes are improved in Industry 4.0. The term “smart” is used to describe intelligence and knowledge in the applications of Industry 4.0. Smart factories, smart products, and smart cities are the main application of Industry 4.0. Factories become more intelligent and flexible by adopting sensors, actuators, and autonomous systems for their manufacturing processes. These technologies lead manufacturing systems to achieve a high level of self-optimization and automation while improving their capacity to produce more complex and better quality products (Lu 2017).
Construction 4.0
Published in Anil Sawhney, Mike Riley, Javier Irizarry, Construction 4.0, 2020
Anil Sawhney, Mike Riley, Javier Irizarry
While the First Industrial Revolution was catalyzed by steam-powered mechanical production, the second was driven by electrical-powered mass production; the third was based on electronics and automation, the Fourth Industrial Revolution has begun with the promulgation of CPS and related technologies (MacDougall, 2014; Pereira and Romero, 2017). It is envisioned that I4.0 will have far-reaching implications on the manufacturing sector that are, in turn, likely to have broad social and economic benefits for nations and societies that embrace this framework (Oesterreich and Teuteberg, 2016). Furthermore, I4.0 uses technologies such as service orientation, smart production, interoperability, cloud computing, big data analytics, and cybersecurity (Vogel-Heuser and Hess, 2016). I4.0 facilitates interconnection and computerization in traditional industries, which makes an automatic and flexible adaptation of the production chain and provides new types of services and business models of interaction in the value chain (Liao et al., 2017; Lu, 2017).
Web Services for Embedded Devices
Published in Richard Zurawski, Industrial Communication Technology Handbook, 2017
Vlado Altmann, Hendrik Bohn, Frank Golatowski
The SOA paradigm is based on the following foundation and principles: service orientation is based on open standards ensuring interoperability. Although security is not an attribute of SOA, it is important to foster acceptance. SOA is based on simplicity in the sense of flexibility, reusability, and adaptability in the usage of services and the integration of services into heterogeneous service environments. The attribute distribution stands for the independence of services, which self-contain their functionality. New applications can be built by designing the interaction of services and the definition of policies (if needed) to formulate interaction constraints. Services are loosely coupled, allowing dynamic searching for finding and binding of services. Services are clearly abstracted from their implementation and application environment. The registry is a central repository for all available services in a certain environment. SOA implementations without a registry make use of other advanced search mechanisms. Process orientation in SOA shows a major advantage of SOAs and moves the technology closer to its application. Processes and workflows can be designed and mapped into an interaction of services by composing the corresponding services.
Conceptual Framework for the Service-Oriented Management of Construction Labor Resource
Published in Engineering Management Journal, 2022
Hanbin Luo, Da Sheng, Botao Zhong, Ke Chen, Samad M. E. Sepasgozar, Xuejiao Xing
Service orientation is defined as a method to integrate business as linked services for desired outcomes (Chung & Chao, 2007). Cloud computing is typically service-oriented. It enables small and medium enterprises, which cannot afford infrastructure to enhance computing capability, with a pay-as-you-go rule. With virtualization technology, cloud computing extends network deliverable services from software applications to physical computing resources (e.g., CPUs, memories, storages, and servers).
Towards flexible RFID event-driven integrated manufacturing for make-to-order production
Published in International Journal of Computer Integrated Manufacturing, 2018
Xifan Yao, Jianming Zhang, Yongxiang Li, Cunji Zhang
In order to take the most advantage of RFID and EDA to integrate planning and scheduling with real-time control, an efficient framework is required to aggregate them as a whole. In the early days of CIM (computer integrated manufacturing), or Enterprise Applications Integration (EAI), there was a tight coupling between the integrated applications which made it difficult to response to changes in a make-to-order production system. As a new model of EAI that fosters service-orientation in support of a service-oriented enterprise, Service-Oriented Architecture (SOA) enables the development of applications that are built by combining loosely coupled and interoperable services (Morgan and O’Donnell 2017). By using service-oriented technology such as SOA and cloud computing as a means of integration, a so-called SOA4CM (SOA for Cloud Manufacturing) was proposed (Yao et al. 2012). By integrating CEP, EDA and SOA4CM, a so-called EDSOA4CM (Event-Driven SOA4CM) (Yao et al. 2013) was proposed to meet such a need for IoT-enabled manufacturing. While traditionally CIM or EAI tends to be data centric, EDSOA4CM more emphasises on business processes. High-level languages such as BPEL and specifications such as WS-CDL and WS-Coordination extend the service concept by providing a method of defining and supporting orchestration of fine-grained services into more coarse-grained business services, which users can incorporate into workflows and business processes implemented in composite applications. LISA, a service-based and event driven architecture with flexibility and scalability, was proposed for rapid integrating varied devices and services (Theorin et al. 2016). Based on the work (Yao et al. 2011; Zhang, Yao, and Zhang 2015; Yao et al. 2013), this study further investigates RFID-enhanced manufacturing that integrates planning, scheduling, and control through an EDSOA framework, more specifically RFID event-driven integrated production planning and control (RED-IPPC) framework, which is exemplified by the case study of make-to-order production, and flexible job-shop scheduling problems monitored by CEP are presented to demonstrate the applicability of the proposed framework in detail. The rest of this paper is organised as follows: Section 2 describes the integrated framework; Section 3 gives the approaches to deal with planning, scheduling and control; Section 4 analyses and defines RFID-related events in MSs; Simulation with Arena is given in Section 5; Section 6 presents the experiment of RED-IPPC; and Section 7 concludes the paper with a prospect of future work.