Industry 4.0 latest Trends and it's Application

2021 ◽  
pp. 181-185
Author(s):  
Rohit Nandkishor Kenge ◽  
Zafar Khan
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Operating Cost ◽  
Working Hours ◽  
Pilot Project ◽  
Work Culture ◽  
Manufacturing Plants ◽  
Core Concepts ◽  
Data Capturing ◽  
Smart Machines

The manufacturing world had undergone four separate industrial revolts. Industry 4.0 is a most recent chapter in the Industrial revolt story that pivoted mainly on manufacturing automation, live data capturing, smart machines, and internet connectivity with key objectives of productivity rise, optimization of available working hours, and increased organization competitiveness. This research paper studies the industry 4.0 through the survey of available literature in a sequential manner that started with understanding the development of the manufacturing industry from industry 1.0 to industry 4.0, the nine key foundation blocks of the industry 4.0, the cyber-physical systems, the Smart factory concept, industry 4.0 application strategy guide step by step, Industry 4.0 benefits, risk, and challenges. We applied the Industry 4.0 concept step by step as a pilot project as per the Industry 4.0 application strategy guide at the bus bar trunking production factory with the target of delivering the demand of customers within committed or shorter lead time from the bus bar manufacturing shop and discussed the outcomes briefly. We concluded that Industry 4.0 helps to improve operator work-life, overall productivity, and to reduce the operating cost of production drastically in mass manufacturing processes. Industry 4.0 is also a boon in today’s changing work culture after the CORONA pandemic through its core concepts of digitization, paperless work, networking, and maximum internet usage. It also guides to adopt automation and smart machines that are communicating in real-time with its customer. We also observed that its application is costly in terms of investment to deploy for small or middle scale manufacturing plants, but they shall implement partly to get the benefit from it.

Pembuatan Pilot Project Pengolahan Air Limbah Industri Rambut Palsu dengan Sistem Lumpur Aktif

2016 ◽  
Vol 8 (15) ◽  
pp. 37-47
Author(s):  
Sri Moertinah ◽  
Misbachul Moenir
Keyword(s):  
Activated Sludge ◽  
Biological Treatment ◽  
Operating Cost ◽  
Pilot Project ◽  
Labor Costs ◽  
Industrial Waste Water ◽  
Microbial Adaptation ◽  
Central Java ◽  
Electricity Costs

This study aims to create a pilot project for wastewater treatment wig industry with biological activated sludge technology to applied in the industry. Design criteria for the pilot project are the influent COD ≤ 900 mg/l, MLSS = 3,000 mg/l, 30-hours residence time. DO ≥ 2 mg/l and flow 10 m3/day. Implementation of a pilot project initiated by seeding aerobic microbes and microbial adaptation to proceed with wastewater to be treated. The trial results showed that the pilot project % COD reduction ranged from 73.2% - 91% and the result is not much different from the results of laboratory-scale research about 89.7% and the quality  of the effluent is already fullfill the standard of industrial waste water wig required by the Central Java Provincial Regulation No. 5 of 2012. The calculation of operating cost of activated sludge biological treatment which includes labor costs, electricity costs, equipment maintenance costs, expenses and other nutrients obtained the price of  Rp. 2972/m3 or Rp. 742.99/wig.ABSTRAKPenelitian ini bertujuan untuk membuat pilot project pengolahan air limbah industri rambut palsu dengan sistem lumpur aktif yang diterapkan di industri. Kriteria desain pilot project tersebut adalah COD influen ≤ 900 mg/l, MLSS = 3.000 mg/l, waktu tinggal 30 jam DO≥2 mg/l  dan debit air limbah 10 m3/hari. Pelaksanaan pilot project dimulai dengan seeding mikroba aerob dan dilanjutkan dengan adaptasi mikroba dengan air limbah yang akan diolah. Hasil uji coba pilot project menunjukkan bahwa % penurunan COD berkisar antara 73,2% - 91% dan hasil ini tidak berbeda jauh dengan hasil penelitian skala laboratorium sekitar 89,7% dan kualitas air limbah hasil pengolahan sudah memenuhi baku mutu air limbah industri rambut palsu yang dipersyaratkan oleh Peraturan Daerah Provinsi Jawa Tengah No 5 tahun 2012. Dari hasil perhitungan biaya operasional pengolahan biologis lumpur aktif yang meliputi biaya tenaga kerja, biaya listrik, biaya perawatan peralatan, biaya nutrien dan lainnya diperoleh harga sebesar Rp. 2972/m3  atau Rp. 742,99/wig.   Kata kunci : air limbah industri rambut palsu, pilot project, sistem lumpur aktif

scholarly journals The Impacts of the Geographic Distribution of Manufacturing Plants on Groundwater Withdrawal in China

Water ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1158
Author(s):  
Yanting Zheng ◽  
Huidan Yang ◽  
Jinyuan Huang ◽  
Linjuan Wang ◽  
Aifeng Lv
Keyword(s):  
Manufacturing Industry ◽  
Tap Water ◽  
Demand Management ◽  
Spatial Regression ◽  
High Water ◽  
Groundwater Withdrawal ◽  
Ecological Environment ◽  
Manufacturing Plants ◽  
Water Users ◽  
Water Transmission

The overexploitation of groundwater in China has raised concern, as it has caused a series of environmental and ecological problems. However, far too little attention has been paid to the relationship between groundwater use and the spatial distribution of water users, especially that of manufacturing factories. In this study, a factory scatter index (FSI) was constructed to represent the spatial dispersion degree of manufacturing factories in China. It was found that counties and border areas between neighboring provinces registered the highest FSI increases. Further non-spatial and spatial regression models using 205 provincial-level secondary river basins in China from 2016 showed that the scattered distribution of manufacturing plants played a key role in groundwater withdrawal in China, especially in areas with a fragile ecological environment. The scattered distribution of manufacturing plants raises the cost of tap water transmission, makes monitoring and supervision more difficult, and increases the possibility of surface water pollution, thereby intensifying groundwater withdrawal. A reasonable spatial adjustment of manufacturing industry through planning and management can reduce groundwater withdrawal and realize the protection of groundwater. Our study may provide a basis for water-demand management through spatial adjustment in areas with high water scarcity and a fragile ecological environment.

scholarly journals Application of an Innovative Model for the Risk Management of COVID-19 in a Multinational Manufacturing Company

2021 ◽  
Vol 13 (11) ◽  
pp. 5771
Author(s):  
Piero Lovreglio ◽  
Angela Stufano ◽  
Francesco Cagnazzo ◽  
Nicola Bartolomeo ◽  
Ivo Iavicoli
Keyword(s):  
Risk Management ◽  
Manufacturing Industry ◽  
Incidence Rates ◽  
Manufacturing Plants ◽  
Model Combining ◽  
Innovative Model ◽  
Global Prevention ◽  
The Relationship ◽  
Physician Team ◽  
The Eu

The COVID-19 incidence in 61 manufacturing plants in Europe (EU), North America (NA) and Latin-America (LATAM) was compared with the incidence observed in the countries where the plants are located in order to evaluate the application of an innovative model for COVID-19 risk management. Firstly, a network of local and global teams was created, including an external university occupational physician team for scientific support. In July 2020, global prevention guidelines for the homogenous management of the pandemic were applied, replacing different site or regional procedures. A tool for COVID-19 monitoring was implemented to investigate the relationship between the incidence rates inside and outside the plants. In the period of May–November 2020, 565 confirmed cases (EU 330, NA 141, LATAM 94) were observed among 20,646 workers with different jobs and tasks, and in the last two months 85% EU and 70% NA cases were recorded. Only in 10% of cases was a possible internal origin of the contagion not excluded. In the EU and NA, unlike LATAM, the COVID-19 incidence rates inside the sites punctually followed the rising trend outside. In conclusion, the model, combining a global approach with the local application of the measures, maintains the sustainability in the manufacturing industry.

scholarly journals Reliable Industry 4.0 Based on Machine Learning and IoT for Analyzing, Monitoring, and Securing Smart Meters

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 487 ◽  
Author(s):  
Mahmoud Elsisi ◽  
Karar Mahmoud ◽  
Matti Lehtonen ◽  
Mohamed M. F. Darwish
Keyword(s):  
Machine Learning ◽  
Smart Grids ◽  
Industry 4.0 ◽  
Learning Algorithm ◽  
Cyber Physical Systems ◽  
The Internet ◽  
Smart Meters ◽  
Industrial Environment ◽  
Physical Systems ◽  
Smart Machines

The modern control infrastructure that manages and monitors the communication between the smart machines represents the most effective way to increase the efficiency of the industrial environment, such as smart grids. The cyber-physical systems utilize the embedded software and internet to connect and control the smart machines that are addressed by the internet of things (IoT). These cyber-physical systems are the basis of the fourth industrial revolution which is indexed by industry 4.0. In particular, industry 4.0 relies heavily on the IoT and smart sensors such as smart energy meters. The reliability and security represent the main challenges that face the industry 4.0 implementation. This paper introduces a new infrastructure based on machine learning to analyze and monitor the output data of the smart meters to investigate if this data is real data or fake. The fake data are due to the hacking and the inefficient meters. The industrial environment affects the efficiency of the meters by temperature, humidity, and noise signals. Furthermore, the proposed infrastructure validates the amount of data loss via communication channels and the internet connection. The decision tree is utilized as an effective machine learning algorithm to carry out both regression and classification for the meters’ data. The data monitoring is carried based on the industrial digital twins’ platform. The proposed infrastructure results provide a reliable and effective industrial decision that enhances the investments in industry 4.0.

scholarly journals Next Generation Industrial IoT Digitalization for Traceability in Metal Manufacturing Industry: A Case Study of Industry 4.0

Electronics ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 628
Author(s):  
Michail J. Beliatis ◽  
Kasper Jensen ◽  
Lars Ellegaard ◽  
Annabeth Aagaard ◽  
Mirko Presser
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Careful Consideration ◽  
Added Value ◽  
Shop Floor ◽  
Circuit Boards ◽  
Next Generation ◽  
Road Map ◽  
Industrial Iot ◽  
Production Cycles

This paper investigates digital traceability technologies taking careful consideration of the company’s needs to improve the traceability of products at the production of GPV Group as well as the efficiency and added value in their production cycles. GPV is primarily an electronics manufacturing service company (EMS) that manufactures electronic circuit boards, in addition to big metal products at their mechanics manufacturing sites. The company aims to embrace the next generation IoT technologies such as digital traceability in their internal supply chain at manufacturing sites in order to stay compatible with the Industry 4.0 requirements. In this paper, the capabilities of suitable digital traceability technologies are screened together with the actual GPV needs to determine if deployment of such technologies would benefit GPV shop floor operations and can solve the issues they face due to a lack of traceability. The traceability term refers to tracking the geolocation of products throughout the manufacturing steps and how that functionality can foster further optimization of the manufacturing processes. The paper focuses on comparing different IoT technologies and analyze their positive and negative attributes to identify a suitable technological solution for product traceability in the metal manufacturing industry. Finally, the paper proposes a suitable implementation road map for GPV, which can also be adopted from other metal manufacturing industries to deploy Industry 4.0 traceability at shop floor level.

scholarly journals Factors that Inhibit Sustainable Adoption of Industry 4.0 in the South African Manufacturing Industry

2021 ◽  
Vol 13 (3) ◽  
pp. 1013
Author(s):  
Whisper Maisiri ◽  
Liezl van Dyk ◽  
Rojanette Coeztee
Keyword(s):  
South African ◽  
Education System ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Youth Unemployment ◽  
Small Scale ◽  
The South ◽  
Qualitative Descriptive ◽  
Cultural Construct ◽  
Sub Saharan

Industry 4.0 (I4.0) adoption in the manufacturing industry is on the rise across the world, resulting in increased empirical research on barriers and drivers to I4.0 adoption in specific country contexts. However, no similar studies are available that focus on the South African manufacturing industry. Our small-scale interview-based qualitative descriptive study aimed at identifying factors that may inhibit sustainable adoption of I4.0 in the country’s manufacturing industry. The study probed the views and opinions of 16 managers and specialists in the industry, as well as others in supportive roles. Two themes emerged from the thematic analysis: factors that inhibit sustainable adoption of I4.0 and strategies that promote I4.0 adoption in the South African manufacturing industry. The interviews highlighted cultural construct, structural inequalities, noticeable youth unemployment, fragmented task environment, and deficiencies in the education system as key inhibitors. Key strategies identified to promote sustainable adoption of I4.0 include understanding context and applying relevant technologies, strengthening policy and regulatory space, overhauling the education system, and focusing on primary manufacturing. The study offers direction for broader investigations of the specific inhibitors to sustainable I4.0 adoption in the sub-Saharan African developing countries and the strategies for overcoming them.

scholarly journals Filling the void of family leadership: institutional support to business model changes in the Italian Industry 4.0 experience

2021 ◽  
Author(s):  
Marco Cucculelli ◽  
Ivano Dileo ◽  
Marco Pini
Keyword(s):  
Business Model ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Business Models ◽  
Institutional Support ◽  
Negative Influence ◽  
Positive Influence ◽  
External Support ◽  
Family Management ◽  
Family Leadership

AbstractWe examine whether the probability of innovating a company’s business model towards the Industry 4.0 paradigm is affected by external institutional support and family leadership. Industry 4.0 is the information-intensive transformation of global manufacturing enabled by Internet technologies aimed at reinventing products and services from design and engineering to manufacturing. Using a sample of 3000 firms from a corporate survey on the manufacturing industry in Italy, our results showed that family leadership has a significant positive influence on the adoption of Industry 4.0 business models, but only in terms of family ownership. By contrast, family management has a negative influence on the probability of adopting a new business model. However, this negative influence is almost totally offset by the presence of the Triple Helix, i.e. the external support by public institutions and universities, which counterbalances the lower propensity of family managers to adopt Industry 4.0 business models. This supporting role only occurs when institutions and universities act together.

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