A Novel Rule-based MPS model for SME Manufacturing Factory in Korea

Park, Byung‐Jun; Jeong, Jongpil

doi:10.1016/j.procs.2019.08.103

Cited by 4 publications

(6 citation statements)

References 10 publications

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“…According to formula (6) it follows that data processing in neuro-element is reduced to the operation of calculating the scalar product and the activation function f . Many intelligent tools are synthesized on the basis of microcontrollers (microprocessors), the operational bases of which are simple arithmetic operations (addition, subtraction, inversion and shifts).…”

Section: The Methods For Calculating the Signal Of Postsynaptic Excitation Of Neural Elements In Artificialmentioning

confidence: 99%

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Methods for the Efficient Energy Management in a Smart Mini Greenhouse

Teslyuk¹,

Tsmots²,

ml.³

et al. 2022

Computers, Materials &Amp; Continua

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To solve the problem of energy efficiency of modern enterprise it is necessary to reduce energy consumption. One of the possible ways is proposed in this research. A multi-level hierarchical system for energy efficiency management of the enterprise is designed, it is based on the modular principle providing rapid modernization. The novelty of the work is the development of new and improvement of the existing methods and models, in particular: 1) models for dynamic analysis of IT tools for data acquisition and processing (DAAP) in multilevel energy management systems, which are based on Petri nets; 2) method of synthesis of DAAP tools in energy efficiency management information systems (EEMIS) of the enterprise which provides a reduction in hardware and time costs from 10% to 40%; 3) method of conflict-free data exchange determining the minimum memory speed for the synthesis of realtime exchanges, it reduces the cost and energy consumption; 4) method of calculating the signal of postsynaptic excitation of neural elements decreases the processing time of technological data two or more times. The proposed methods, models and tools have been tested while implementing the EEMIS of the intelligent mini-greenhouse, as a result, energy efficiency has increased by 12%-25% (depending on season and peculiarities of growing plants).

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Section: The Methods For Calculating the Signal Of Postsynaptic Excitation Of Neural Elements In Artificialmentioning

confidence: 99%

“…Nowadays we are witnessing a large-scale introduction of new technologies to industrial production [1][2][3][4][5][6][7] in the developed countries of the world (Industry 4.0) [8]. Several standards have been developed for the construction, deployment and analysis of management systems in modern enterprises.…”

Section: Introductionmentioning

confidence: 99%

Methods for the Efficient Energy Management in a Smart Mini Greenhouse

Teslyuk¹,

Tsmots²,

ml.³

et al. 2022

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

show abstract

“…Table 2 shows the candidates for the enabling OSS based on the results. Multiple candidates were identified for visualization and data management, including Node-RED, Kim et al, 2019;Kwon et al, 2021;Martikkala et al, 2021;Park and Jeong, 2019;Sezer et al, 2018;Waters et al, 2022)) and Windows (Kim et al, 2019;Xing et al, 2021) Communication Wi-Fi (Hinchy et al, 2019;Kim et al, 2019;Kwon et al, 2021;Park and Jeong, 2019;Sezer et al, 2018;Xing et al, 2021), LoRa (Martikkala et al, 2021), and Ethernet (Waters et al, 2022) Protocol MQTT (Hinchy et al, 2019;Kim et al, 2019), OPC UA (Hinchy et al, 2019;Nsiah et al, 2018;Park and Jeong, 2019), OneM2M (Kim et al, 2019), and 6LoWPAN (Nsiah et al, 2018) Data management Database: MySQL (Kim et al, 2019;Nsiah et al, 2018;Park and Jeong, 2019), MongDB (Martikkala et al, 2021), Dropbox (Sezer et al, 2018), Cassandra (Waters et al, 2022) Analytics Image processing: Tesseract-OCR (Kim et al, 2019), OpenCV (Kim et al, 2019;Martikkala et al, 2021) Complex event processing : Node-RED (Kim et al, 2019), and Grafana (Park and Jeong, 2019) Machine learning: TensorFlow (Martikkala et al, 2021), R (Sezer et a...…”

Section: Candidate For Enabling Oss From a Literature Surveymentioning

confidence: 99%

“…Python (Hinchy et al, 2019;Kim et al, 2019;Kwon et al, 2021;Martikkala et al, 2021;Sezer et al, 2018;Waters et al, 2022), C (Park and Jeong, 2019), and C++ (Nsiah et al, 2018) This journal is ⓒ Academic Society for Appropriate Technology 2022…”

Section: Programming Languagementioning

confidence: 99%

Open-source Software for Developing Appropriate Smart Manufacturing Technology for Small and Medium-sized Enterprises (SMEs)

Kim

2022

J Appropr Technol

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Manufacturing innovation promoted by the Fourth Industrial Revolution presents various technologies and policies for implementing future smart factories based on advances in information and communication technology (ICT). However, despite recent advances in smart manufacturing technologies, several difficulties in migrating conventional manufacturing to smart factories remain, particularly in small and medium-sized enterprises (SMEs). Among the recently emerging technologies, ICT-related technologies have been developed and utilized as open-source software (OSS) to accelerate their development through collective intelligence and community growth. In this study, to facilitate the identification of appropriate smart manufacturing solutions for personnel in SMEs with insufficient prior experience and knowledge using OSS, several reference architectures (RAs) are investigated to define a small RA that can be referenced to configure the mandatory functions during development as technical requirements. Subsequently, user-oriented requirements are summarized to determine the enabling OSS by considering the conditions of SMEs for the functional components in developing appropriate smart manufacturing technologies to form Internet of Things edge computing, and a recommendation for enabling OSS that guides the development of SMEs is proposed. In the evaluation, a small edge and gateway demonstration is performed using two single-board computers equipped with Raspberry Pi, where some of the recommended enabling OSS of Message Queuing Telemetry Transport via Wi-Fi, MySQL, Node-RED, and Python are used. Finally, the feasibility of the proposed approach is confirmed by evaluating the demonstration.

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“…The use of an 8D report in the automotive industry is a requirement of the standard IATF 16949 (Ionescu et al, 2022); however, the literature contains little scientific assessment of the effectiveness of 8D reports and often consists of case studies such as Skurkova and Prjajova (2022) and George, Ranjha, and Kulkarni (2021) and papers of a descriptive nature such as Park andJeong 2019 andBarsalou, (2023). Empirical evaluations of the effectiveness of 8D reports consist of individual failure investigations and their results.…”

Section: Introductionmentioning

confidence: 99%

Inquiry into the Effectiveness of Eight Discipline-Based Problem-Solving

Barsalou,

Grabowska,

Perkin

2023

QIP Journal

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Purpose: The eight discipline (8D) report is a method for solving problems in industry and is based on an eight-step problem-solving process and is often called an 8D report. The 8D report has been covered in the literature; however, much of the literature on 8D reports only describes the use of 8D reports and fails to evaluate 8D reports empirically. The purpose of this research is to determine if the use of 8D reports combined with training within an organization leads to finding root causes more quickly. Methodology/Approach: The research uses a mixed-methods approach. A case study describes the implementation of 8D reports in a manufacturing organization in the automotive industry. The paper then looks at five years’ worth of data after the implementation of an 8D-based process for addressing quality problems and determined if there is a significant difference in the time to find root causes after the implementation of 8D reports combined with training. Findings: The research found that the time to solve problems was reduced between the early and later years after the implementation of an 8D process and related training. Faster problem resolution means resources can be redirected elsewhere, as well as a reduction in scrap or rework. Research Limitation/Implication: The paper only looked at the use of 8D reports in the case study organization. Originality/Value of paper: This paper provides evidence supporting the effectiveness of 8D reports as an approach to problem-solving. The case study aspect also provides guidance for managers seeking to implement 8D reports in their organizations.

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A Novel Rule-based MPS model for SME Manufacturing Factory in Korea

Cited by 4 publications

References 10 publications

Methods for the Efficient Energy Management in a Smart Mini Greenhouse

Methods for the Efficient Energy Management in a Smart Mini Greenhouse

Open-source Software for Developing Appropriate Smart Manufacturing Technology for Small and Medium-sized Enterprises (SMEs)

Inquiry into the Effectiveness of Eight Discipline-Based Problem-Solving

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