scholarly journals Design of Customized Intelligent Manufacturing Information Interaction System Based on Virtual Technology

2021 ◽  
Vol 2074 (1) ◽  
pp. 012043
Author(s):  
Xi Wang

Abstract With the continuous development of information technology, system intelligence is leading the next round of “industrial revolution”, especially the intelligent manufacturing industry has become the core of improving industrial productivity. Intelligent manufacturing involves each link in the manufacturing industry, which is the most critical part of intelligent manufacturing is intelligent production, through intelligent manufacturing related technology to optimize the production mode of manufacturing to promote the production state more flexible and integrated. Intelligent manufacturing is based on computer simulation technology and information and communication technology, optimize the production design of the factory and simplify the production process of the factory, the purpose is to reduce the waste of resources and improve the reasonable allocation of production resources.

Author(s):  
Marty Kelley

The manufacturing industry is rapidly changing due to widespread adoption of information and communication technologies. This new landscape, described as the fourth industrial revolution, will be characterized by highly complex and interdependent systems. One particular aspect of this shift is horizontal integration, or the tight coupling of firms within a value chain. Highly interconnected and interdependent manufacturing systems will encounter new challenges associated with coordination and collaboration, specifically with regards to trust. This purpose of this chapter is to explore the potential of blockchain to address these challenges. Survey data collected from manufacturing professionals suggests that the perceived nature of trust and resource value can be bounded and controlled. Concepts from game theory, systems theory, and organizational economics are used to augment this research data and inform a collaborative manufacturing blockchain model and architecture.


Buildings ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. 173
Author(s):  
Pia Schönbeck ◽  
Malin Löfsjögård ◽  
Anders Ansell

The development of technologies associated with the fourth industrial revolution is rapid. Construction 4.0 represents the architecture, engineering, construction and operations industries exploration of new technologies, equivalent to Industry 4.0 for the manufacturing industry. These concepts address multiple perspectives besides the technological, such as management and processes. The purpose of this study was to investigate to what extent research regarding construction projects addresses information and communication, automatisation or industrialisation technologies. A scoping review was the method used to perform a quantitative analysis of over two thousand journal papers published from 2015 onwards. The results show that new technologies are addressed separately, while synergy studies are uncommon. Longitudinal analyses show that there was no significant increase in journal papers concerning new technologies from 2015 to 2019. Information and communication was the search criterion with the least number of papers found. The environmental perspective of new technologies was present but the least common from 2019 to 2020. Hence, this review shows that there is an extensive research gap regarding Construction 4.0 technologies in the context of construction projects. Studies regarding synergy and environmental effects of new technologies should increase to start the progress towards a successful entry into the fourth industrial revolution.


Author(s):  
Shailendra Kumar ◽  
Mohd Suhaib ◽  
Mohammad Asjad

The Indian manufacturing industry is gradually adopting the sustainable productivity-oriented processes of the fourth industrial revolution (4IR), but the sports goods manufacturing (SGM) sector has lagged far behind. In India, the city of Meerut is one of the hubs of SGM, providing about 25,000 direct jobs and exporting goods worth around ₹4.86 billion (~US$75 million). The thousands of mini, micro and small household manufacturing units of the Meerut sports goods manufacturing (MSGM) cluster widely operate with the centuries-old labour-intensive manufacturing practices. MSGM cluster has a vast untapped potential to increase productivity, quality and sustainability of processes. To remain relevant in this competitive era, a transformation of the sports goods manufacturing industry (SGMI) is the need of the hour. For this, the requirement for an integrated transformational framework capable of transforming the processes of the manufacturing cluster from its current state to intelligent manufacturing is felt. It will help the SGMI sustain and uplift its workforce’s employability, income and living standards. This transformation also invites the other allied industries to operate in the cluster, generating employment and business opportunities. In Decision-Making Trial and Evaluation Laboratory (DEMATEL)-based analysis of the MSGM cluster, cause–effect relations among eleven prevalent transformational challenges are deduced. From both prominence ranking and cause–effect relations for the eleven prevalent transformational challenges, ‘management’s willingness’, ‘government support system’, and ‘awareness and clear understanding of benefits (ROI)’ are observed among the prominent factors to be overcome. A transformational framework for SGMI from its present state to the I4.0 state is proposed. The study and proposed scalable framework with causal relationships will serve as a road map and tool for the smooth and effective transformation of the SGMI cluster.


Author(s):  
Annisa Andrivina

Patient and visitor’s satisfaction is an indicator of the healthcare facility’s quality in hospital. One of the healthcare facilities in hospital is polyclinic area. Indonesia is committed to building a manufacturing industry that is globally competitive through accelerating the implementation of Industry 4.0. In this industrial revolution, there was a big leap where information and communication technology was fully utilized. The health industry also experienced this impact. The digital era in health facilities is a challenge to be better at providing health services to the community. Patient and visitor of health facility are those who are not familiar with the hospital environment and often have poor emotional and physical conditions. Therefore, it required a physical environment that can support the convenience of visitors, especially in the ease of finding the destination. One of the parameters of “design that cares” is to providing convenience for patient and visitor in finding purpose (wayfinding) and oriented in the building. This study is in the form of library research and uses descriptive analysis methods that take samples of patients and visitors of the RSIA Limijati Polyclinic, Bandung. Data were collected by accidental sampling technique through interview, observation, and questionnaire. This research is expected to provide solution to wayfinding design problem related to hospital user’s characteristics, especially polyclinic area.  Key words: polyclinic, orientation, wayfinding


Author(s):  
Pham Thi Le Hang

The development of ICTs has strongly influenced many different aspects of social life, including education and training. ICTs application and management of ICTs applications has become an indispensable trend and has a profound effect on improving the quality of education and training. The author has analyzed the current state of ICTs application management in teaching in lower secondary schools in rural, midland and mountainous areas from which 6 management solutions for applying information and communication technology in teaching in lower secondary schools in accordance with the school’s practice.


2021 ◽  
Vol 11 (6) ◽  
pp. 2729
Author(s):  
Chien-Hua Lin ◽  
Ming-Che Lu ◽  
Su-Fen Yang ◽  
Ming-Yung Lee

Automation in the service industry is emerging as a new wave of industrial revolution. Standardization and consistency of service quality is an important part of the automation process. The quality control methods widely used in the manufacturing industry can provide service quality measurement and service process monitoring. In particular, the control chart as an online monitoring technique can be used to quickly detect whether a service process is out of control. However, the control of the service process is more difficult than that of the manufacturing process because the variability of the service process comes from widespread and complex factors. First of all, the distribution of the service process is usually non-normal or unknown. Moreover, the skewness of the process distribution can be time-varying, even if the process is in control. In this study, a Bayesian procedure is applied to construct a Phase II exponential weighted moving average (EWMA) control chart for monitoring the variance of a distribution-free process. We explore the sampling properties of the new monitoring statistic, which is suitable for monitoring the time-varying process distribution. The average run lengths (ARLs) of the proposed Bayesian EWMA variance chart are calculated, and they show that the chart performs well. The simulation studies for a normal process, exponential process, and the mixed process of normal and exponential distribution prove that our chart can quickly detect any shift of a process variance. Finally, a numerical example of bank service time is used to illustrate the application of the proposed Bayesian EWMA variance chart and confirm the performance of the process control.


Work ◽  
2021 ◽  
pp. 1-11
Author(s):  
Duan Pingli ◽  
Bala Anand Muthu ◽  
Seifedine Nimer Kadry

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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