Transformation of Factory to Smart Factory

Okeme, Peter A.; Skakun, Anastasiia D.; Muzalevskii, Alexander R.

doi:10.1109/elconrus51938.2021.9396278

Cited by 20 publications

(4 citation statements)

References 11 publications

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“…The SF architecture was developed in a simulated environment (Factory IO) to state the benefits of the SF adoption (efficiency, cost, quality, safety, and profitability). The Factory IO platform was also linked with tools like Siemens MindSphere, PLCs, and Matlab Simulink [17], [53]. Moreover, the model proposed by Kahveci et al is a reference architecture with features such as security, interoperability, resilience, and scalability; it is built through five layers (Control and Sensing, Data Collection, Data Integration, Data Storage and Analytics, and Data Presentation) that are tested through an assembly battery pack case study, so the architectures serve as a platform for businesses (small and medium enterprises) [54].…”

Section: A Literature Reviewmentioning

confidence: 99%

A Smart Factory Architecture Based on Industry 4.0 Technologies: Open-Source Software Implementation

Fortoul-Diaz,

Carrillo-Martinez,

Centeno-Tellez

et al. 2023

IEEE Access

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The Smart Factory has been a concept studied during the last decade that has not been standardized yet; for this reason, the academy and industry have developed a wide variety of new architectures that describe the integration of elements for digitization and interconnection. The present research aims to introduce a new architecture proposal for migrating traditional (automation) to smart (digitization) factories, implemented through open-source software. The proposed architecture is integrated, for the first time, by the interconnection of six main elements: cyber-physical systems, edge computing, artificial intelligence, cloud computing, data analytics, and cybersecurity; the research describes in detail their definitions, sub-elements, the interconnection between elements, and the minimum requirements for implementation. The test of the proposed smart factory was done through a scale smart factory pilot testing for a pick and place process, where the assembly of wood pieces from the geometric Tangram's puzzle was required; for this reason, the pilot testing includes a six-degree-of-freedom robot arm, a conveyor, a vision system, and a storage area. The case study conducted in this research allowed the assembly of four puzzles (fish, house, rocket, and swan) that were assembled with four different batches of pieces. The implementation allowed testing flexibility and adaptability. The final assembly reports included the status of assembly, the number of pieces assembled, the number of pieces stored, the assembly sequence, and the assembly time. Similarly, the development of the SCADA system allowed asset control as well as asset monitoring. The KPIs of the assembly process measured productivity (OTD) and time tracking (ATCT and TA) of the 16 tests, founding that the interconnection and digitization of the scale manufacturing cell were fully integrated and allowed repeatability; the proposed SF architecture represents an alternative for the small and medium automated factories to achieve interconnection and digitization, and it is ready to be tested in a more complex scenario.

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Section: A Literature Reviewmentioning

confidence: 99%

A Smart Factory Architecture Based on Industry 4.0 Technologies: Open-Source Software Implementation

Fortoul-Diaz,

Carrillo-Martinez,

Centeno-Tellez

et al. 2023

IEEE Access

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“…Other physical technologies beyond simple physical access security components are becoming digitized as well, such as the various machines in factories as in Supervisory Control and Data Acquisition (SCADA) systems. Okeme et al (2021) delve into the process of upgrading a factory to a “smart” factory, but the security of such upgrades is only briefly addressed. While recognizing the need for security to protect the smart factory, the offered suggestions are simple, generic and non-comprehensive, such as implementing central management platforms.…”

Section: Prior Convergence Studiesmentioning

confidence: 99%

Organizational perspectives on converged security operations

Mattord,

Kotwica,

Whitman

et al. 2023

ICS

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Purpose The purpose of this paper is to explore the current practices in security convergence among and between corporate security and cybersecurity processes in commercial enterprises. Design/methodology/approach This paper is the first phase in a planned multiphase project to better understand current practices in security optimization efforts being implemented by commercial organizations exploring means and methods to operate securely while reducing operating costs. The research questions being examined are: What are the general levels of interest in cybersecurity and corporate security convergence? How well do the perspectives on convergence align between organizations? To what extent are organizations pursuing convergence? and How are organizations achieving the anticipated outcomes from convergence? Findings In organizations, the evolution to a more optimized security structure, either merged or partnered, was traditionally due to unplanned or unforeseen events; e.g. a spin-off/acquisition, new security leadership or a negative security incident was the initiator. This is in contrast to a proactive management decision or formal plan to change or enhance the security structure for reasons that include reducing costs of operations and/or improving outcomes to reduce operational risks. The dominant exception was in response to regulatory requirements. Preliminary findings suggest that outcomes from converged organizations are not necessarily more optimized in situations that are organizationally merged under a single leader. Optimization may ultimately depend on the strength of relationships and openness to collaboration between management, cybersecurity and corporate security personnel. Research limitations/implications This report and the number of respondents to its survey do not support generalizable findings. There are too few in each category to make reliable predictions and in analysis, there was an insufficient quantity of responses in most categories to allow supportable conclusions to be drawn. Practical implications Practitioners may find useful contextual clues to their needs for convergence or in response to directives for convergence from this report on what is found in some other organizations. Social implications Improved effectiveness and/or reduced costs for organizational cybersecurity would be a useful social outcome as organizations become more efficient in the face of increasing levels of cyber security threats. Originality/value Convergence as a concept has been around for some time now in both the practice and research communities. It was initially promoted formally by ASIS International and ISACA in 2005. Yet there is no universally agreed-upon definition for the term or the practices undertaken to achieve it. In addition, the business drivers and practices undertaken to achieve it are still not fully understood. If convergence or optimization of converged operations offers a superior operational construct compared to other structures, it is incumbent to discover if there are measurable benefits. This research hopes to define the concept of security collaboration optimization more fully. The eventual goal is to develop and promote a tool useful for organizations to measure where they are on such a continuum.

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“…Today smart factories have opened the road for a new industrial transformation known as industry 4.0. By adopting the industry 4.0 standard, industrial machines can interact with each other and automatically operated with little or no human intervention to enable real-time production [1], [2]. The main objective of an IIoT system is to assure the efficacy of industrial systems operations, improve productivity, and enhance the control of industrial systems [3].…”

Section: Introductionmentioning

confidence: 99%

Transformation to a smart factory using NodeMCU with Blynk platform

Hailan

Albaker

Alwan

2023

IJEECS

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Incorporating internet of things (IoT) in industrial systems prompted the development of industrial internet of things (IIoT) systems, which in turn enable the automation of intelligent devices to gather, analyze, and transmit data from industrial systems in real-time. This paper develops a low-cost and smart industrial remote monitoring and control system based on NodeMCU microcontrollers and Blynk server platform. It is deployed to remotely monitor manufacturer's environment and industrial equipment and control them autonomously. Also, it protects the manufacturer's employees from fire catastrophe by warning them using a buzzer and notification. The system comprises two main parts, sensing and actuation. The sensing part consists of three subsystems that measure temperature and humidity, water flow, and flame. The actuation part consists of a water pump, light, and fan. A powerful user interface is developed based on the Blynk platform. The proposed system controls the water pump by sensing water flow autonomously. In addition, based on a fire detected, a protection system is implemented to shut down the electricity from load in case of fire event occurs. Several testing scenarios were carried on to check the response of the system, and the result shows successful implementation of the proposal to handle different situations.

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Transformation of Factory to Smart Factory

Cited by 20 publications

References 11 publications

A Smart Factory Architecture Based on Industry 4.0 Technologies: Open-Source Software Implementation

A Smart Factory Architecture Based on Industry 4.0 Technologies: Open-Source Software Implementation

Organizational perspectives on converged security operations

Transformation to a smart factory using NodeMCU with Blynk platform

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