scholarly journals Interoperability in Smart Manufacturing: Research Challenges

Machines ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 21 ◽  
Author(s):  
Abe Zeid ◽  
Sarvesh Sundaram ◽  
Mohsen Moghaddam ◽  
Sagar Kamarthi ◽  
Tucker Marion
Keyword(s):  
Data Exchange ◽  
Research Area ◽  
Smart Manufacturing ◽  
Shop Floor ◽  
Successful Implementation ◽  
Integrated Networks ◽  
Software Packages ◽  
Industrial Internet ◽  
Logical Semantics ◽  
And Control

Recent advances in manufacturing technology, such as cyber–physical systems, industrial Internet, AI (Artificial Intelligence), and machine learning have driven the evolution of manufacturing architectures into integrated networks of automation devices, services, and enterprises. One of the resulting challenges of this evolution is the increased need for interoperability at different levels of the manufacturing ecosystem. The scope ranges from shop–floor software, devices, and control systems to Internet-based cloud-platforms, providing various services on-demand. Successful implementation of interoperability in smart manufacturing would, thus, result in effective communication and error-prone data-exchange between machines, sensors, actuators, users, systems, and platforms. A significant challenge to this is the architecture and the platforms that are used by machines and software packages. A better understanding of the subject can be achieved by studying industry-specific communication protocols and their respective logical semantics. A review of research conducted in this area is provided in this article to gain perspective on the various dimensions and types of interoperability. This article provides a multi-faceted approach to the research area of interoperability by reviewing key concepts and existing research efforts in the domain, as well as by discussing challenges and solutions.

scholarly journals Significant directions of digitalization of the Khabarovsk Territory economy in the implementation of the national program “Digital Economy”

2021 ◽  
Vol 128 ◽  
pp. 01016
Author(s):  
Luyciena Piunko ◽  
Elena Tolkacheva
Keyword(s):  
Industry 4.0 ◽  
Resource Planning ◽  
Digital Economy ◽  
Digital Transformation ◽  
International Standards ◽  
Smart Manufacturing ◽  
Computer Algorithms ◽  
Production Processes ◽  
Industrial Internet ◽  
And Control

The research is devoted to the modern development of digital transformation in the Russian economy, including in the Khabarovsk Territory; the difficulties of implementing the directions of the “Digital Economy”. In this study, an attempt is made to compare the strategic goals of the development of the “Digital Economy”, modern processes of digital transformation and such an important component of it as "Integration 4.0" related to the “industrial Internet”, digital production, intelligent components, including the collection of large amounts of data, cyberphysical systems, remote monitoring and maintenance. “Industry 4.0” accelerates production processes, increases its efficiency and the quality of manufactured goods, reduces the cost of delivery, tracks production chains, etc. Currently, the industry of Western countries uses Industry 4.0 standards at the production management level. In developed countries, such as Germany, South Korea, etc., they realize the importance of automation and computerization, which became the main tool of the third industrial revolution, and its tools for the transition to “Industry 4.0”. International standards are developed for industries that use computer algorithms to monitor and control physical things, such as equipment, robots and vehicles. Standards that work on the basis of the Industrial Internet of Things (IIoT) and cyber—physical systems — intelligent autonomous systems that define all components of the supply chain, transforming production processes into “smart” - from smart manufacturing and factories to smart warehouses and logistics. And, the same systems are associated with the previous stage of industrial production, such as enterprise resource planning (ERP). All this ensures a high level of transparency and control over the activities of the organization. At the present stage, there are excellent opportunities for the development of Industry 4.0 in Russia, but there are also difficulties, overcoming which are significant directions of the digitalization processes of the modern economy. The authors devoted their research to the analysis of such difficulties.

A Sensor Model for Enhancement of Manufacturing Equipment Data Interoperability

2012 ◽  
Author(s):  
Kang B. Lee ◽  
Eugene Y. Song ◽  
Peter S. Gu
Keyword(s):  
Data Exchange ◽  
Manufacturing Systems ◽  
Sensor Data ◽  
Smart Manufacturing ◽  
Shop Floor ◽  
Sensors And Actuators ◽  
Data Interoperability ◽  
Manufacturing Equipment ◽  
Sensor Model ◽  
Smart Manufacturing Systems

Sensors can provide real-time production information to optimize manufacturing processes in a factory. Recently, more attention has been paid to the application of sensors in smart manufacturing systems. Sensor data exchange, sharing, and interoperability are challenges for manufacturing equipment monitoring in smart manufacturing. Standardized sensor data formats and communication protocols can help to solve these problems. MTConnect is an open, free, extensible protocol for the data exchange between monitoring applications and shop floor devices which include machine tools, sensors, and actuators. This paper introduces a sensor model for MTConnect to enhance manufacturing equipment data interoperability. The sensor model defines a Sensor and SensorChannel, as well as an interface to access the Sensor and its SensorChannels, which include sensing element, calibration, signal conditioning, and analog-to-digital conversion (ADC) information. The sensor model has been implemented in a virtual milling machine with a built-in sensor. Two case studies of MTConnect Probe and Sample requests for sensor information are provided to verify the sensor model.

A dynamic processing methodology of manufacturing data for the automated throughput analysis in cyber-physical production environment

2019 ◽  
Vol 27 (2) ◽  
pp. 155-169 ◽  
Author(s):  
Hyoung Seok Kang ◽  
Ju Yeon Lee ◽  
Sang Do Noh
Keyword(s):  
Real Time ◽  
Manufacturing Industry ◽  
Smart Manufacturing ◽  
Shop Floor ◽  
Systematic Research ◽  
Practical Implementation ◽  
Successful Implementation ◽  
Production Environment ◽  
Throughput Analysis ◽  
Systematic Methodology

Various studies have been conducted on cyber-physical production systems (CPPS), a core technology for the implementation of smart manufacturing. However, existing studies are mostly conceptual or at an early stage, such as the proposal of a reference architecture. To achieve the practical implementation of CPPS, a systematic methodology for the collection, processing, and application of the data for CPPS is required. This is because CPPS can be successfully implemented only when processing criteria and application methods for the diverse data that change in real time because of the nature of a manufacturing shop floor are presented. Various technologies and systems have been developed for collecting raw data from a shop floor, but they are mainly focused on the automation of manufacturing. Thus, more detailed and systematic research is required for more efficient application of such technologies using a cyber model, which is the core of CPPS. For this purpose, in this article, a logic-based systematic methodology that can generate a throughput analysis model from the real-time data of a shop floor in a CPPS environment was proposed. Furthermore, logics that perform the Mapping, Scaling, and Calibration of the data of the shop floor into the machine, process, and factory levels were developed and their application to throughput analysis was described through a case study. The results of this study are expected to facilitate the practical implementation of CPPS and contribute to the successful implementation of smart manufacturing and the resultant revival of the manufacturing industry.

RELATIONSHIPS BETWEEN COMMAND, MANAGEMENT, AND COMMUNICATIONS. TO CONTINUE IN DIFFERENT DIRECTIONS OR TO REMAIN IN SAME FIELD

2018 ◽  
Vol 28 (6) ◽  
pp. 1887-1891
Author(s):  
Todor Kalinov
Keyword(s):  
Data Exchange ◽  
Content Management ◽  
System Structure ◽  
Power Comparison ◽  
Long Distance ◽  
Military Alliances ◽  
Military Systems ◽  
Military Command ◽  
And Control ◽  
The Military

Management and Command253 are two different words and terms, but military structures use them as synonyms. Military commanders’ authorities are almost equal in meaning to civilian managers’ privileges and power. Comparison between military command and the civilian management system structure, organization, and way of work shows almost full identity and overlapping. The highest in scale and size military systems are national ministries of defense and multinational military alliances and coalitions. Military systems at this level combine military command structures with civilian political leadership and support elements. Therefore, they incorporate both military command and civilian management organizations without any complications, because their nature originated from same source and have similar framework and content. Management of organizations requires communication in order to plan, coordinate, lead, control, and conduct all routine or extraordinary activities. Immediate long-distance communications originated from telegraphy, which was firstly applied in 19th century. Later, long-distance communications included telephony, aerial transmitting, satellite, and last but not least internet data exchange. They allowed immediate exchange of letters, voice and images, bringing to new capabilities of the managers. Their sophisticated technical base brought to new area of the military command and civilian management structures. These area covered technical and operational parts of communications, and created engineer sub-field of science, that has become one of the most popular educations, worldwide. Communications were excluded from the military command and moved to separate field, named Computers and Communications. A historic overview and analysis of the command and management structures and requirements shows their relationships, common origin, and mission. They have significant differences: management and control are based on humanities, natural and social sciences, while communications are mainly based on engineering and technology. These differences do not create enough conditions for defragmentation of communications from the management structures. They exist together in symbiosis and management structures need communications in order to exist and multiply their effectiveness and efficiency. Future defragmentation between military command and communications will bring risks of worse coordination, need for more human resources, and worse end states. These risks are extremely negative for nations and should be avoided by wide appliance of the education and science among nowadays and future leaders, managers, and commanders.

scholarly journals The Enabling Role of Digital Technologies in Sustainability Accounting: Findings from Norwegian Manufacturing Companies

Systems ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 33
Author(s):  
Olena Klymenko ◽  
Lise Lillebrygfjeld Halse ◽  
Bjørn Jæger
Keyword(s):  
Research Area ◽  
Digital Data ◽  
Manufacturing Companies ◽  
Sustainable Operations ◽  
Business Model Canvas ◽  
Automation And Control ◽  
Sustainability Accounting ◽  
And Control

Sustainability accounting is an emerging research area receiving growing awareness. This study examines the role of digital technology in manufacturing companies’ sustainability accounting. To guide the research, we use a triple layered business model canvas, which supports the accounting of a manufacturer’s performance for the economic, environmental, and social aspects of sustainability. We present an explorative case study of four Norwegian manufacturing companies representing different industries. The findings from the study indicate that while accounting for economic values is well taken care of, companies do not perform comprehensive environmental and social accounting. Furthermore, we observed a shift from a focus on sustainability issues related to the internal manufacturing process to a focus on sustainability issues for the life cycle of the product. Even though the manufacturers are at the forefront with regard to automation and control of production, with extensive use of robots giving a large amount of data, these data are not utilized towards sustainability accounting, showing that sustainability and digitalization are seen as two separate phenomena. This study sheds light on how digital data available from applied Industry 4.0 technologies could enhance sustainability accounting with limited efforts, linking sustainability and digitalization. The results provide insights for manufacturers and researchers in moving towards more sustainable operations and products.

scholarly journals A health worker knowledge, attitudes and practices survey of SARS-CoV-2 infection prevention and control in South Africa

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Saiendhra Vasudevan Moodley ◽  
Muzimkhulu Zungu ◽  
Molebogeng Malotle ◽  
Kuku Voyi ◽  
Nico Claassen ◽  
...  
Keyword(s):  
South Africa ◽  
Health Worker ◽  
Prevention And Control ◽  
Infection Prevention ◽  
Health Workers ◽  
Health Facilities ◽  
World Health ◽  
Infection Prevention And Control ◽  
Successful Implementation ◽  
And Control

Abstract Background Health workers are crucial to the successful implementation of infection prevention and control strategies to limit the transmission of SARS-CoV-2 at healthcare facilities. The aim of our study was to determine SARS-CoV-2 infection prevention and control knowledge and attitudes of frontline health workers in four provinces of South Africa as well as explore some elements of health worker and health facility infection prevention and control practices. Methods A cross-sectional study design was utilised. The study population comprised both clinical and non-clinical staff working in casualty departments, outpatient departments, and entrance points of health facilities. A structured self-administered questionnaire was developed using the World Health Organization guidance as the basis for the knowledge questions. COVID-19 protocols were observed during data collection. Results A total of 286 health workers from 47 health facilities at different levels of care participated in the survey. The mean score on the 10 knowledge items was 6.3 (SD = 1.6). Approximately two-thirds of participants (67.4%) answered six or more questions correctly while less than a quarter of all participants (24.1%) managed to score eight or more. A knowledge score of 8 or more was significantly associated with occupational category (being either a medical doctor or nurse), age (< 40 years) and level of hospital (tertiary level). Only half of participants (50.7%) felt adequately prepared to deal with patients with COVD-19 at the time of the survey. The health workers displaying attitudes that would put themselves or others at risk were in the minority. Only 55.6% of participants had received infection prevention and control training. Some participants indicated they did not have access to medical masks (11.8%) and gloves (9.9%) in their departments. Conclusions The attitudes of participants reflected a willingness to engage in appropriate SARS-CoV-2 infection prevention and control practices as well as a commitment to be involved in COVID-19 patient care. Ensuring adequate infection prevention and control training for all staff and universal access to appropriate PPE were identified as key areas that needed to be addressed. Interim and final reports which identified key shortcomings that needed to be addressed were provided to the relevant provincial departments of health.

scholarly journals Feasibility Study of a Digital Screen-Based Calming Device for Managing BPSD During Care

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 755-755
Author(s):  
Gloria Gutman ◽  
Avantika Vashisht ◽  
Taranjot Kaur ◽  
Ryan Churchill ◽  
Amir Moztarzadeh ◽  
...  
Keyword(s):  
Usual Care ◽  
Psychological Symptoms ◽  
Care Home ◽  
Routine Care ◽  
Care Staff ◽  
Successful Implementation ◽  
Term Care ◽  
Item Checklist ◽  
And Control

Abstract MindfulGarden (MG) is a digital device resembling a flat screen TV, with touchless sensors that react to voice and motion. In this study 13 long-term care home residents aged 74-100 exhibiting Behavioural and Psychological Symptoms of Dementia (BPSD) were randomized to treatment and control groups. On days 1-3 the treatment group received usual care plus exposure to MG during morning and evening care - events well documented to be problematic for residents and care staff; controls received usual care only. On day 4 both groups were exposed to MG with verbal cueing. A 26-item checklist was used to record frequency and types of disruptive BPSD exhibited; care duration was recorded in minutes. There was a trend toward reduction of BPSD and duration of care during morning care. Findings suggest that verbal cueing may be important for successful implementation of MG in calming residents with dementia during routine care.

Industrial internet of things for smart manufacturing applications using hierarchical trustful resource assignment

Work ◽  
2021 ◽  
pp. 1-11
Author(s):  
Duan Pingli ◽  
Bala Anand Muthu ◽  
Seifedine Nimer Kadry
Keyword(s):  
Internet Of Things ◽  
Manufacturing Industry ◽  
Production Systems ◽  
Intelligent Manufacturing ◽  
Smart Manufacturing ◽  
The Internet ◽  
Resource Assignment ◽  
Industrial Internet Of Things ◽  
Assignment Method ◽  
Industrial Internet

BACKGROUND: The manufacturing industry undergoes a new age, with significant changes taking place on several fronts. Companies devoted to digital transformation take their future plants inspired by the Internet of Things (IoT). The IoT is a worldwide network of interrelated physical devices, which is an essential component of the internet, including sensors, actuators, smart apps, computers, mechanical machines, and people. The effective allocation of the computing resources and the carrier is critical in the industrial internet of Things (IIoT) for smart production systems. Indeed, the existing assignment method in the smart production system cannot guarantee that resources meet the inherently complex and volatile requirements of the user are timely. Many research results on resource allocations in auction formats which have been implemented to consider the demand and real-time supply for smart development resources, but safety privacy and trust estimation issues related to these outcomes are not actively discussed. OBJECTIVES: The paper proposes a Hierarchical Trustful Resource Assignment (HTRA) and Trust Computing Algorithm (TCA) based on Vickrey Clarke-Groves (VGCs) in the computer carriers necessary resources to communicate wirelessly among IIoT devices and gateways, and the allocation of CPU resources for processing information at the CPC. RESULTS: Finally, experimental findings demonstrate that when the IIoT equipment and gateways are valid, the utilities of each participant are improved. CONCLUSION: This is an easy and powerful method to guarantee that intelligent manufacturing components genuinely work for their purposes, which want to integrate each element into a system without interactions with each other.

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