Methods and Materials for Smart Manufacturing: Additive Manufacturing, Internet of Things, Flexible Sensors and Soft Robotics

With growing evidence of the operational performance of cyber-physical manufacturing systems, there is a pivotal need for comprehending sustainable, smart, and sensing technologies underpinning data-driven decision-making processes. In this research, previous findings were cumulated showing that cyber-physical production networks operate automatically and smoothly with artificial intelligence-based decision-making algorithms in a sustainable manner and contribute to the literature by indicating that sustainable Internet of Things-based manufacturing systems function in an automated, robust, and flexible manner. Throughout October 2020 and April 2021, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “Internet of Things-based real-time production logistics”, “sustainable smart manufacturing”, “cyber-physical production system”, “industrial big data”, “sustainable organizational performance”, “cyber-physical smart manufacturing system”, and “sustainable Internet of Things-based manufacturing system”. As research published between 2018 and 2021 was inspected, and only 426 articles satisfied the eligibility criteria. By taking out controversial or ambiguous findings (insufficient/irrelevant data), outcomes unsubstantiated by replication, too general material, or studies with nearly identical titles, we selected 174 mainly empirical sources. Further developments should entail how cyber-physical production networks and Internet of Things-based real-time production logistics, by use of cognitive decision-making algorithms, enable the advancement of data-driven sustainable smart manufacturing.

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

Work ◽

10.3233/wor-203429 ◽

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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An Internet-of-things Enabled Smart Manufacturing Testbed

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2019.06.122 ◽

2019 ◽

Vol 52 (1) ◽

pp. 562-567 ◽

Cited By ~ 1

Author(s):

Devarshi Shah ◽

Jin Wang ◽

Q. Peter He

Keyword(s):

Internet Of Things ◽

Smart Manufacturing

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Internet of Things based architecture for additive manufacturing interface

International Journal of Grid and Utility Computing ◽

10.1504/ijguc.2021.10043767 ◽

2021 ◽

Vol 12 (5/6) ◽

pp. 460

Author(s):

Chockalingam Vaithilingam Aravind ◽

Xudong Chen ◽

Norhijazi Bin Ahmad ◽

Swee King Phang

Keyword(s):

Additive Manufacturing ◽

Internet Of Things

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VOCATIONAL SCHOOL LABORATORY ON THE BASIS OF CYBER SECURITY IN THE FIELD OF THE INTERNET OF THINGS (IOT)

Вестник ГГНТУ. Гуманитарные и социально-экономические науки ◽

10.34708/gstou.2019.18.4.018 ◽

2019 ◽

Author(s):

Э.Д. Алисултанова ◽

Л.К. Хаджиева ◽

М.З. Исаева

Keyword(s):

Internet Of Things ◽

Cyber Security ◽

Legal Aspects ◽

Smart Manufacturing ◽

The Internet ◽

Iot Security ◽

Career Opportunities ◽

School Laboratory ◽

Basic Ideas ◽

The Internet Of Things

Данная статья посвящена созданию профориентационной (умной) лаборатории, которая призвана сформировать у школьников базовые представления о технологии Интернет вещей (IoT), угрозах кибербезопасности в этой сфере, мотивировать к получению в будущем профильного образования и построению карьеры в области обеспечения безопасности Интернет вещей (IoT) при функционировании умного производства. Обучение школьников в профориентационной лаборатории, построенное на основе применения интерактивных электронных образовательных ресурсов, прежде всего будет позиционировать карьерные возможности будущих специалистов в сфере обеспечения безопасности Интернет вещей (IoT) при функционировании умного производства. В рамках функционирования лаборатории особое внимание обучающихся сконцентрировано на тематиках правовых аспектов обеспечения кибербезопасности, главных тенденциях развития киберугроз в современном глобальном информационном пространстве и мерах, необходимых для их нейтрализации. This article is devoted to the creation of a career-oriented (smart) laboratory, which is designed to formulate in schoolchildren basic ideas about the Internet of Things (IoT) technology, cyber security threats in this area, motivate to receive specialized education in the future and build a career in the field of Internet things (IoT) security) with the functioning of smart manufacturing. The training of schoolchildren in a vocational guidance laboratory, based on the use of interactive electronic educational resources, will primarily position the career opportunities of future specialists in the field of Internet of Things (IoT) security in the operation of smart manufacturing. Within the framework of the functioning of the laboratory, special attention of students is concentrated on the topics of the legal aspects of ensuring cyber security, the main trends in the development of cyber threats in the modern global information space and the measures necessary to neutralize them.

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Internet of Things Sensing Networks, Smart Manufacturing Big Data, and Digitized Mass Production in Sustainable Industry 4.0

Economics Management and Financial Markets ◽

10.22381/emfm16420212 ◽

2021 ◽

Vol 16 (4) ◽

pp. 28

Keyword(s):

Big Data ◽

Internet Of Things ◽

Mass Production ◽

Industry 4.0 ◽

Smart Manufacturing

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Energy Efficient Multi-Robotic 3D Printing for Large-Scale Construction – Framework, Challenges, and a Systematic Approach

Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability ◽

10.1115/msec2021-63787 ◽

2021 ◽

Author(s):

Azadeh Haghighi ◽

Abdullah Mohammed ◽

Lihui Wang

Keyword(s):

Additive Manufacturing ◽

3D Printing ◽

Energy Efficient ◽

Large Scale ◽

Systematic Approach ◽

Smart Manufacturing ◽

Energy Aware ◽

Robot Positioning ◽

Novel Concept ◽

And Control

Abstract An emerging trend in smart manufacturing of the future is robotic additive manufacturing or 3D printing which introduces numerous advantages towards fast and efficient printing of high-quality customized products. In the case of the construction industry, and specifically in large-scale settings, multi-robotic additive manufacturing (i.e., adopting a team of 3D printer robots) has been found to be a promising solution in order to overcome the existing size limitations. Consequently, several research efforts regarding the development and control of such robotic additive manufacturing solutions have been reported in the literature. However, given the increasing environmental concerns, establishing novel methodologies for energy-efficient processing and planning of these systems towards higher sustainability is necessary. This paper presents a novel framework towards energy-efficient multi-robotic additive manufacturing and describes the overall challenges with respect to the energy efficiency. The energy module of the proposed framework is implemented in a simulation environment. In addition, a systematic approach for energy-aware robot positioning is introduced based on the novel concept of reciprocal energy map. The reciprocal energy map is established based on the original energy map calculated by the energy module and can be used for identifying the low energy zones for positioning and relocation of robots during the printing process.

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IIoT implementation challenges: analysis and mitigation by blockchain

Journal of Global Operations and Strategic Sourcing ◽

10.1108/jgoss-08-2021-0056 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Ravinder Kumar ◽

Rahul Sindhwani ◽

Punj Lata Singh

Keyword(s):

Internet Of Things ◽

Manufacturing Systems ◽

New Technologies ◽

Small Sample ◽

Smart Manufacturing ◽

Efficient Production ◽

Content Type ◽

Cause And Effect ◽

Blockchain Technology ◽

Current Scenario

Purpose The purpose of this methodology is to categorise the challenges into cause and effect group. The modern scenario of customization, personalization and multi-restrictive working because of pandemics has affected the operations of manufacturing small and medium enterprises (SMEs). In the new normal, the digitalization of manufacturing SMEs can be the path breaker. Modern digitalization includes a mix of technologies such as the industrial internet of things (IIoT), the internet of things, cyber-physical system and big data analytics. This digitalization can help in achieving new design changes, efficient production scheduling, smart manufacturing and unrestricted on-time delivery of quality products. This research paper aims to recognize and analyze the challenges faced while implementing IIoT technologies in manufacturing SMEs and tries to find the possibility of mitigating challenges by blockchain technology. Design/methodology/approach There were ten challenges of IIoT implementation identified from the literature review and experts’ opinions. To collect information from Indian manufacturing SMEs, a survey tool was formed in the form of a questionnaire. On the fundament of responses received from industrial experts, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique has been used for categorizing these challenges into cause and effect groups. Further, the authors tried to mitigate observed challenges with the help of blockchain technology. Findings With the implementation of IIoT technologies, the manufacturing processes become conciliatory, effective and traceable in real time. Observation of the current study states that the top effect group challenges such as the security of data and reliability of technologies can be mitigated by enabling blockchain technologies. The authors conclude that blockchain-enabled IIoT technologies will be highly beneficial for the Indian SMEs strategically and practically in the current scenario. Research limitations/implications Methodology of DEMATEL focuses on responses received from experts. The broader approach of survey from manufacturing organizations is compromised due to small sample size in this methodology. Experts approached for survey were from manufacturing SMEs of Delhi National Capital Region only. Broader survey-based techniques may be applied covering different sectors of SMEs in future work. Practical implications Technologies such as blockchain can facilitate advanced security in the application of IIoT and other such practices. While dealing with significant issues and challenges of new technologies, blockchain gives an edge of balance in the current scenario. Its properties of fixity, temper evident and circumvent fraud make this technology ideal for the digitalization of the manufacturing systems in SMEs. Originality/value Digitalization of manufacturing facilities is the need of the hour. Pandemic challenges have highlighted the urgency of it. This research will motivate and guide the manufacturing SMEs in planning strategies and long-term policies in implementing modern technologies and coping up with the pandemic challenges.

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