A Roadmap Towards the Smart Factory

Sufian, Amr T.; Abdullah, Badr M.; Ateeq, Muhammad; Wah, Roderick; Casamichana, David

doi:10.1109/dese.2019.00182

Cited by 12 publications

(10 citation statements)

References 5 publications

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“…Transforming traditional production facilities towards Industry 4.0 and smart manufacturing is frequently a long-term process incorporating various process steps. A roadmap for this transformation is addressed in [12]. It emphasizes six pillars, called six gears: (i) Strategy, (ii) Connectivity, (iii) Integration, (iv) Data analytics, (v) Artificial Intelligence, and (vi) Scalability [12].…”

Section: Industry 40 and Smart Manufacturingmentioning

confidence: 99%

“…A roadmap for this transformation is addressed in [12]. It emphasizes six pillars, called six gears: (i) Strategy, (ii) Connectivity, (iii) Integration, (iv) Data analytics, (v) Artificial Intelligence, and (vi) Scalability [12]. A review of existing industrial standards, which have the capability for supporting smart manufacturing and system automation can be found in [13].…”

Section: Industry 40 and Smart Manufacturingmentioning

confidence: 99%

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Digitalized Automation Engineering of Industry 4.0 Production Systems and Their Tight Cooperation with Digital Twins

Novák

Vyskočil

2022

Processes

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Smart production systems conforming the Industry 4.0 vision are based on subsystems that are integrated in a way that supports high flexibility and re-configurability. Specific components and devices, such as industrial and mobile robots or transport systems, now pose full-blown systems, and the entire Industry 4.0 production system constitutes a system-of-systems. Testing, fine-tuning, and production planning are important tasks in the entire engineering production system life-cycle. All these steps can be significantly supported and improved by digital twins, which are digitalized replicas of physical systems that are synchronized with the real systems at runtime. However, the design and implementation of digital twins for such integrated, yet partly stand-alone, industrial sub-systems can represent challenging and significantly time-consuming engineering tasks. In this article, the problem of the digital twin design for discrete-event production systems is addressed. The article also proposes to utilize a formal description of production resources and related production operations that the resources can perform. An executable version of such formalization can be automatically derived into a form of a digital twin. Such a derived digital twin can be enhanced with operation duration times that are obtained with process mining methods, leading to more realistic simulations for the entire production system. The proposed solution was successfully tested and validated in the Industry 4.0 Testbed, equipped with four robots and a transport system, which is utilized as a use-case in this article.

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Section: Industry 40 and Smart Manufacturingmentioning

confidence: 99%

Section: Industry 40 and Smart Manufacturingmentioning

confidence: 99%

Digitalized Automation Engineering of Industry 4.0 Production Systems and Their Tight Cooperation with Digital Twins

Novák

Vyskočil

2022

Processes

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“…Ever since the term "Industry 4.0" was first introduced at the Hannover Fair in 2011 [1], [2], it has drawn a lot of attention from academia and industry. This novel concept encompasses computerizing the manufacturing industry [2] and automating production processes through digitalization and the use of new and advanced technologies [3]. Some researchers call it the fourth industrial revolution, which consists of cyber-physical systems, the Internet of things (IoT), and other smart systems providing enhanced interaction and connectivity [4], [5].…”

Section: Introductionmentioning

confidence: 99%

“…When the key components of Industry 4.0 are successfully implemented and integrated, the resulting product is a smart factory [3]. In a smart factory, all components and equipment are interconnected and digitalized via information and communication technologies and production technologies [7].…”

Section: Introductionmentioning

confidence: 99%

Success Factors of the Adoption of Smart Factory Transformation: An Examination of Korean Manufacturing SMEs

2023

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A smart factory is a fully automated production system enabled with novel digital technologies. Numerous studies consider its emergence as the arrival of a new wave of production innovation. However, research is scant on why its adoption rate has lagged behind the expectations of investors and policymakers. Thus, this study examined the effect of top management support for information systems, the existing production systems, the perceived usefulness of smart factories, and outsourcing experiences on firms' intention to adopt smart factories. Using the data of 1,067 Korean manufacturing small and medium-sized enterprises and structural equation modeling, this study finds that the performance of the existing production systems significantly increases the benefits expected from smart production systems, thus strengthening firms' intention to adopt smart factories. It also finds that the top management's support for information systems does not have a significant impact on the benefits expected from smart production systems. Furthermore, the overall mechanism of smart factories' adoption is strengthened when firms develop their production systems in-house. The results of this study provide useful insights for practitioners seeking to transform traditional production systems into smart factories. They also provide a strategic guideline regarding outsourcing experiences.

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“…This paper is an extended version of the paper published in conference proceedings of Developments in eSystems Engineering Robotics, Sensors and Industry 4.0 DeSE 2019 [30]. The purpose of the paper is to review different methodologies and strategies for the implementation of smart manufacturing and to introduce a novel conceptual roadmap that can serve as a simple strategic guide for manufacturing SMEs with their Industry 4.0 journeys.…”

Section: Introductionmentioning

confidence: 99%

Six-Gear Roadmap towards the Smart Factory

et al. 2021

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The fourth industrial revolution is the transformation of industrial manufacturing into smart manufacturing. The advancement of digital technologies that make the trend Industry 4.0 are considered as the transforming force that will enable this transformation. However, Industry 4.0 digital technologies need to be connected, integrated and used effectively to create value and to provide insightful information for data driven manufacturing. Smart manufacturing is a journey and requires a roadmap to guide manufacturing organizations for its adoption. The objective of this paper is to review different methodologies and strategies for smart manufacturing implementation to propose a simple and a holistic roadmap that will support the transition into smart factories and achieve resilience, flexibility and sustainability. A comprehensive review of academic and industrial literature was preformed based on multiple stage approach and chosen criteria to establish existing knowledge in the field and to evaluate latest trends and ideas of Industry 4.0 and smart manufacturing technologies, techniques and applications in the manufacturing industry. These criteria are sub-grouped to fit within various stages of the proposed roadmap and attempts to bridge the gap between academia and industry and contributes to a new knowledge in the literature. This paper presents a conceptual approach based on six stages. In each stage, key enabling technologies and strategies are introduced, the common challenges, implementation tips and case studies of industrial applications are discussed to potentially assist in a successful adoption. The significance of the proposed roadmap serve as a strategic practical tool for rapid adoption of Industry 4.0 technologies for smart manufacturing and to bridge the gap between the advanced technologies and their application in manufacturing industry, especially for SMEs.

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A Roadmap Towards the Smart Factory

Cited by 12 publications

References 5 publications

Digitalized Automation Engineering of Industry 4.0 Production Systems and Their Tight Cooperation with Digital Twins

Digitalized Automation Engineering of Industry 4.0 Production Systems and Their Tight Cooperation with Digital Twins

Success Factors of the Adoption of Smart Factory Transformation: An Examination of Korean Manufacturing SMEs

Six-Gear Roadmap towards the Smart Factory

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