Harnessing Industry 4.0 Technology to Improve Productivity in Manufacturing Industries: a Case of CNC Based Welding Factory

2021 ◽  
Author(s):  
Adedotun Adetunla ◽  
Nelson Madonsela
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industries

Industrial 4.0 of Service and Manufacturing in Java-Indonesia: Level of Implementation

2021 ◽  
Vol 13 (1) ◽  
pp. 36
Author(s):  
Dewi Nusraningrum ◽  
Salmi Mohd. Isa ◽  
Dipa Mulia
Keyword(s):  
Operating System ◽  
Operating Systems ◽  
Industry 4.0 ◽  
Sampling Method ◽  
Developed Countries ◽  
Manufacturing Industries ◽  
Manufacturing Companies ◽  
Purposive Sampling ◽  
Service Companies ◽  
The World

The application of industry 4.0 has been doing in many countries in the world today even some developed countries have headed to industry 5.0, nevertheless in Indonesia there are still many companies that have not implemented industry 4.0. This research aims to find out the extent of the implementation of industry 4.0 in Indonesia, especially the industry located on the island of Java.The industry 4.0 aspects as a benchmark of differentiator from previous industrial developments is worth scrutinized to know its application levels in the service and manufacturing industries. Although many industries still combine their operating system between the 4.0 industry and conventional operating systems. The populations are the services and manufacturing companies. The data was obtained by using a questionnaire distributed online to respondents with a purposive sampling method. The data was grouped according to The level of implementation and is centered. The calculation and percentage results demonstrate that the level of implementation of the 4.0 industry with a technology base in service companies and manufacturing companies are at a managed level. It illustrates that the companies being researched have not been fully on the demands of the 4.0 industry.

scholarly journals Industry 4.0 Implementation Challenges in Manufacturing Industries: an Interpretive Structural Modelling Approach

2020 ◽  
Vol 176 ◽  
pp. 2384-2393
Author(s):  
Ahmad Reshad Bakhtari ◽  
Vineet Kumar ◽  
Mohammad Maqbool Waris ◽  
Cesar Sanin ◽  
Edward Szczerbicki
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industries ◽  
Structural Modelling ◽  
Interpretive Structural Modelling ◽  
Implementation Challenges ◽  
Modelling Approach

Study of Industry 4.0 and its Impact on Lean Transformation in Aerospace Manufacturing

2019 ◽  
Author(s):  
Sagil James ◽  
Alejandro Cervantes
Keyword(s):  
Lean Manufacturing ◽  
Industry 4.0 ◽  
Manufacturing Sector ◽  
Discrete Event ◽  
Hybrid Approach ◽  
Manufacturing Industries ◽  
Lean Principles ◽  
Aerospace Manufacturing ◽  
Lean Transformation

Abstract Lean manufacturing practices focus on minimizing all forms of waste from the production system. The applicability of lean manufacturing concepts and principles has often been questioned in sectors including aerospace manufacturing primarily due to their high variety - low volume environments. The key challenges include the difficulty in changing the factory layout, lack of plant-specific manufacturing strategies, lack of benchmarking between manufacturing plants and non-existence of learning through experimentation culture. Consequently, the aerospace manufacturing industries have struggled to implement lean principles over the years successfully. Industry 4.0 is a new paradigm that is significantly influencing several manufacturing industries across the globe. Applying the concepts of Industry 4.0 along with the conventional lean transformation technology could potentially address these challenges. The focus of this research is to study the possibilities of integrating Industry 4.0 tools with existing lean manufacturing philosophies within the aerospace manufacturing sector in order to improve various aspects of manufacturing processes in a cyber-physical environment. A case study is performed considering a quality inspection department in a typical aerospace industry. The case study is simulated using discrete event simulation tool — Arena. The study found that a hybrid approach involving the holistic merger of the lean principles along with the Industry 4.0 tools known as Lean Industry 4.0 is the best way forward for the aerospace manufacturing sector. The outcomes of this research provide an understanding of the role of industry 4.0 paradigm and their implementation in several other high-technology and high-risk manufacturing sectors including life sciences, space, and defense industries.

scholarly journals Changing Scenario of Manufacturing Industries Due to Covid 19

2021 ◽  
Vol 7 (01) ◽  
pp. 81-84
Author(s):  
Ruchira Srivastava and Vijay Kumar Srivastava
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Sector ◽  
Manufacturing Industries

The introduction of Industry 4.0 were already generating various changes in operations of manufacturing sector before the pandemic situation and now after the pandemic conditions things have become more tough and challenging. Since March 23rd 2019 the home quarantine and lockdown situation has completely shut down the whole country after this pandemic condition started trending across the globe. The main objective of this paper is to study about these challenges which are being faced by the manufacturing industries. & how these situations are tackled in Covid 19.

scholarly journals Technology Enabled Manufacturing Industry Practices – Industry 4.0

2020 ◽  
Vol 8 (4S4) ◽  
pp. 160-162
Keyword(s):  
Energy Efficiency ◽  
Virtual Reality ◽  
Augmented Reality ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Emerging Technologies ◽  
Manufacturing Industries ◽  
Paradigm Shifts ◽  
Vital Part ◽  
Manufacturing Quality

The main aim of this research is to identify the scope for matured and emerging technologies to improve the quality, productivity, energy efficiency and sustainability. Industry 4.0 encourages the manufacturing industries to embrace conducive technologies. The paradigm shifts with OEMs manufacturing quality levels naturally elevate the expectations from the supplier industries. This demands more from the technology and R&D firms to deliver. Simulation technologies are becoming vital part of the industry practices. Augmented Reality and Virtual Reality based simulations are being analyzed here with its utility in manufacturing industries.

Industry 4.0 Adoption in Manufacturing Industries Using Technology-Organization-Environment Framework

2021 ◽  
Vol 14 (1) ◽  
pp. 123-146
Author(s):  
Kanchan Pranay Patil
Keyword(s):  
Value Chain ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Manufacturing Industries ◽  
It Services ◽  
Factors Affecting ◽  
Technology Competence ◽  
A Value ◽  
Governance Practices ◽  
Trading Partners

This paper investigated the determinant factors affecting the Industry 4.0 ecosystem needed for the digitization and automation of manufacturing industries. The 4th industrial revolution implements a value chain by interfacing internet of things devices and robotics, data processing in the cloud using artificial intelligence-based analytics. The study was conducted in Pune, India, a manufacturing and IT services hub. It sought to identify Industry 4.0 facilitators and inhibitors by framing empirical data collected from 320 manufacturing facilities and analyzed using PLS-SEM within a model based on technology-organization-environment (TOE) theory and motivation-threat-ability (MTA) theory. The results confirmed that technology competence, organization scope, consumer readiness, competitive pressure, trading partners' readiness, and governance practices are the facilitators, whereas organization resistance inhibits Industry 4.0 adoption intentions. The outcome of this study shall provide guidelines to manufacturing industries management as well as technology solution providers.

The current sustainability scenario of Industry 4.0 enabling technologies in Indian manufacturing industries

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bhaveshkumar Nandanram Pasi ◽  
Subhash K. Mahajan ◽  
Santosh B. Rane
Keyword(s):  
Industry 4.0 ◽  
Job Loss ◽  
Manufacturing Industries ◽  
Expert Interviews ◽  
Content Type ◽  
Road Map ◽  
Research Article ◽  
Enabling Technologies ◽  
Expert Interview ◽  
The Impact

PurposeThe purposes of this research article are as follows: to explore the understanding of the Industry 4.0 (I4.0) concept among Indian manufacturing industries, to determine the motivating factors for I4.0 implementation, to identify I4.0 enabling technologies which are used by Indian manufacturing industries and assess their sustainability, to explore the impact of above identified enabling technologies on sustainability pillars, to determine how Indian manufacturing industries interpret the concept of I4.0 and to develop a road map for I4.0 implementation and sustainability.Design/methodology/approachTo perform this research work, a dual research methodology was adopted. Questionnaires were sent to 16 Indian manufacturing industries, and expert interviews were conducted with seven experts who have been practicing the I4.0 concept since the last three years in their business. Also, a sustainability measurement tool was developed to measure the sustainability of the used I4.0 enabling technologies.FindingsIn this research article, it is found that smart sensors and robot arms have high sustainability, whereas cyber physical systems (CPSs) and big data analytics have low sustainability. During an expert interview, it has been found that adoption of the I4.0 concept in Indian manufacturing industries is creating job loss fear in employees. Also, it is found that Indian workers must be trained to adopt and sustain I4.0 enabling technologies.Research limitations/implicationsThe sustainability of I4.0 enabling technologies in Indian manufacturing industries was indicated by analyzing responses received through questionnaires and expert interviews. There are other measures of sustainability which are beyond this study. Further studies are expected to fill the gap.Practical implicationsThe authors have explored reasons for low sustainability of I4.0 enabling technologies in Indian manufacturing industries, suggested a road map for its implementation and sustainability and identified the relationship between different parameters (such as job loss, job creation, workers’ qualification and business profit) and I4.0 sustainability, therefore helping Indian organizations to develop sustainable manufacturing systems based on the I4.0 concept.Originality/valueThis research article gives an idea about sustainability of I4.0 enabling technologies in Indian manufacturing industries.

scholarly journals Selection the Basic Lean Manufacturing Techniques in Developing the Model for Industry 4.0 in Kosovo Manufacturing Industry

Proceedings ◽  
2020 ◽  
Vol 63 (1) ◽  
pp. 62
Author(s):  
Fatmir Azemi ◽  
Roberto Lujić ◽  
Goran Šimunović ◽  
Daniel Tokody
Keyword(s):  
Literature Review ◽  
Production System ◽  
Lean Manufacturing ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Manufacturing Industries ◽  
Manufacturing Enterprises ◽  
Lean Tools ◽  
Manufacturing Techniques ◽  
Selection Of

Recently, there have been done numerous investigations related to lean manufacturing techniques. However, very little has been reported about the implementation and selection of lean manufacturing in the Kosovo manufacturing industry. This article presents the application of lean tools through Kosovo manufacturing industries and the selection of the most useful lean techniques for developing a model for an innovative smart Kosovo enterprise which is our initiative in the process of preparing Kosovo enterprises for the new age of industry—Industry 4.0. After several visits through Kosovo enterprises, the literature review has noticed that there is no investigation in the selection and implementation of lean techniques and tools in Kosovo enterprises. The purpose was to understand how Kosovo manufacturing enterprises use lean techniques and which are the most useful techniques. Analyses have been done based on interviews and questionnaires. Seven basic lean techniques are selected based on the response from the questionnaire and representing basic lean tools for developing a model of a production system regarding Industry 4.0.

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