Strategy to Increase the Intention of Using Industry 4.0 Technology, Manufacture Production Monitoring System-Web Based Case Study: Automotive Manufacturing Industry Company

2020 ◽  
Author(s):  
Annisa Z. Nabilah ◽  
Joanna M. Loretta ◽  
Boy N. Moch ◽  
Erlinda Muslim
Keyword(s):  
Monitoring System ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Web Based ◽  
Automotive Manufacturing ◽  
Production Monitoring

scholarly journals Measuring the Implications of Sustainable Manufacturing in the Context of Industry 4.0

Processes ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 585 ◽  
Author(s):  
Larisa Ivascu
Keyword(s):  
Sustainable Development ◽  
Organizational Development ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Sustainability Assessment ◽  
Sustainable Manufacturing ◽  
Organizational Capacity ◽  
Online Questionnaire ◽  
Automotive Manufacturing ◽  
Hierarchical Framework

Sustainability is increasingly being addressed globally. The manufacturing industry faces various constraints and opportunities related to sustainable development. Currently, there are few methodological frameworks for evaluating sustainable organizational development. Assessing and improving organizational capacity is important for producers and researchers in the field and local, national, and international authorities. This research proposes a hierarchical framework for sustainability assessment of manufacturing industry in Romania. The proposed framework integrates performance elements and measures to improve all the processes and activities from the triple perspective of sustainability. Sustainability assessment captures the entire supply chain of the organization, including stakeholder interests and end-of-life directions for products. To establish the elements to be integrated in the development of the proposed framework, market research (online questionnaire-for the characterization of Industry 4.0) and the Delphi method were used to identify the categories of performance indicators that must be measured to identify organizational capacity for sustainable development. The framework was tested by an automotive manufacturing organization. A number of improvements have been identified that relate to Industry 4.0 facilities and the application of the facilities related to recovering the value of the product at the end of its life cycle. This hierarchical framework can be customized in detail for the specific of each organization and can be adapted in other industries, including banking, retail, and other services. It can be observed that waste management and the interests of the stakeholders are major implications that must be measured and properly motivated.

scholarly journals Implementation of industry 4.0 to achieve sustainable manufacturing in steel industry: a case study

2021 ◽  
Vol 2 (1) ◽  
pp. 1-9
Author(s):  
Pradeep Kumar
Keyword(s):  
Steel Industry ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Manufacturing Sector ◽  
Sustainable Manufacturing ◽  
Agile Manufacturing ◽  
The One ◽  
The Internet Of Things

Sustainable manufacturing has been a popular topic of research for quite some time now. There are various concepts and ideas which have claimed to have a significant impact on sustainability of the manufacturing industry like lean, green and agile manufacturing. Industry 4.0 is the latest and by far the one with the maximum potential of changing the manufacturing sector forever. It is rightly called as “the fourth industrial revolution”. It is a wide concept which covers many state of the art technologies like the Internet of Things (IoT), Artificial Intelligence, Big Data, Augmented reality etc. But like every big revolution, it is to face many challenges also. In this review, we are looking at this ‘yet in infancy’ concept and its role in achieving a sustainable manufacturing sector as discussed by researchers. Different scholars have come up with different challenges to implementation of I4.0 which they thought to be of some significance. There is going to  review such challenges making a list of 13 such challenges. Then, it also throw some light on the new challenge faced by all of humanity in the form of SARS-CoV-2 pandemic and how it is affecting the manufacturing sector.

scholarly journals Preliminary Study of Web Based Decision Support System to Select Manufacturing Industry Suppliers

2020 ◽  
Vol 55 (2) ◽  
Author(s):  
Denny Trias Utomo ◽  
Pratikto ◽  
Purnomo Budi Santoso ◽  
Sugiono
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Complex Problem ◽  
Web Based ◽  
Management Framework ◽  
Artificial Intelligence Technology ◽  
Selection Of

Industry 4.0 is an integration between automation and manufacturing industry which requires the use of information technology to implement it. In the operational management framework, there is a supply chain management function that is strongly influenced by quality suppliers. Because choosing a quality new supplier is not an easy thing, we need a reliable application tool and utilizing web-based artificial intelligence technology for the selection of suppliers in the manufacturing industry. The selection of new suppliers is a complex problem because it involves multiple criteria, therefore it is necessary to make a decision support system that is able to complete supplier selection properly. Although the selection of suppliers in the manufacturing industry is not new, in the era of Industry 4.0, a decision support system that is used to choose an absolute supplier based online that must be accessible via the web or mobile application. Therefore the writer's idea in this paper is very relevant to be implemented in the manufacturing industry in all fields in the industrial era 4.0.

scholarly journals Assessing the key enablers for Industry 4.0 adoption using MICMAC analysis: a case study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Srijit Krishnan ◽  
Sumit Gupta ◽  
Mathiyazhagan Kaliyan ◽  
Vikas Kumar ◽  
Jose Arturo Garza-Reyes
Keyword(s):  
Automobile Industry ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Positive Outcome ◽  
Content Type ◽  
Strategic Integration ◽  
Micmac Analysis ◽  
New Business ◽  
Academic Professionals

PurposeThe aim of this research is to assess the key enablers of Industry 4.0 (I4.0) in the context of the Indian automobile industry. It is done to apprehend their comparative effect on executing I4.0 concepts and technology in manufacturing industries, in a developing country context. The progression to I4.0 grants the opportunity for manufacturers to harness the benefits of this industry generation.Design/methodology/approachThe literature related to I4.0 has been reviewed for the identification of key enablers of I4.0. The enablers were further verified by academic professionals. Additionally, key executive insights had been revealed by using interpretive structural modelling (ISM) model for the vital enablers unique to the Indian scenario. The authors have also applied MICMAC analysis to group the enablers of I4.0.FindingsThe analysis of this study’s data from respondents using ISM provided us with seven levels of enabler framework. This study adds to the existing literature on I4.0 enablers and findings highlight the specificities of the territories in India context. The results show that top management is the major enabler to I4.0 implementation. Infact, it occupies the 7th layer of the ISM framework. Subsequently, government policies enable substantial support to develop smart factories in India.Practical implicationsThe findings of this work provide implementers of I4.0 in the automobile industry in the form of a robust framework. This framework can be followed by the automobile sector in enhancing their competency in the competitive market and ultimately provide a positive outcome for the Indian economic development led by these businesses. Furthermore, this work will guide decision-makers in enabling strategic integration of I4.0, opening doors for the development of new business opportunities as well.Originality/valueThe study proposes a framework for Indian automobile industries. The automobile sector was chosen for this study as it covers a large percentage of the market share of the manufacturing industry in India. The existing literature does not address the broader picture of I4.0 and most papers do not provide validation of the data collected. This study thus addresses this research gap.

Smart factories for single-family wooden houses – a practitioner’s perspective

2020 ◽  
Vol 21 (1) ◽  
pp. 64-84
Author(s):  
Alexander Vestin ◽  
Kristina Säfsten ◽  
Malin Löfving
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Building Industry ◽  
Single Family ◽  
Content Type ◽  
Wooden House ◽  
Multiple Case ◽  
House Building

Purpose The meaning of Industry 4.0 has started to be outlined for the construction industry, but there is still limited knowledge on the implications for the single-family wooden house building industry. The purpose of this paper is to expand the understanding of what the fourth industrial revolution implies for the single-family wooden house industry. The paper contributes with practitioners’ view of the content and meaning of a smart single-family wooden house factory. Design/methodology/approach An exploratory multiple case study was carried out at two Swedish single-family wooden house builders, combined with a traditional literature review. Findings As a result of a multiple case studies, the content and meaning of a smart single-family wooden house factory was elaborated on. In total, 15 components of a smart single-family wooden house factory were identified, of which 8 corresponded to the components of Industry 4.0 as described in other sectors. Research limitations/implications The study can be expanded to also include multi-family wooden house builders and other branches of the offsite wooden building industry. Practical implications Managers in the house-building industry who want to improve and strive for a smart single-family wooden house factory can learn from this study, get an insight of what other companies consider as important and how it relates to Industry 4.0. Originality/value To the best of the authors’ knowledge, this study is a first attempt to understand what Industry 4.0 mean and how it can be accomplished for the single-family wooden house offsite manufacturing industry.

Feasibility Analysis of Industry 4.0 Projects and an Application in Automotive Maintenance Systems

2019 ◽  
pp. 346-363
Author(s):  
Irem Ucal Sari ◽  
Eliz Cafer ◽  
Umut Ak
Keyword(s):  
Scenario Analysis ◽  
Service Provider ◽  
Industry 4.0 ◽  
Service Sector ◽  
Analysis Procedure ◽  
Feasibility Analysis ◽  
Web Based ◽  
Maintenance Service ◽  
Maintenance Systems

In this chapter, general feasibility analysis steps are redefined for the Industry 4.0 projects. In addition to the traditional feasibility analysis steps, for Industry 4.0 projects, scenario analysis and decision trees are implemented to feasibility analysis that enables us to identify the outcomes of several scenarios for the risky parameters. At the end of the chapter, proposed feasibility analysis procedure is applied to an Industry 4.0 project. Utilization of internet of the things on an automotive maintenance service system is selected as the case study. In this project, the proposed system for the automotive maintenance service sector is a web-based application, which warns driver and maintenance service provider at the same time before the failure happens and by this way enables drivers to have the maintenance before the failure occurs. The versions of the proposed system are analyzed, and the best version is selected at the end of the analysis.

Collaborative approach to digital transformation (CADT) model for manufacturing SMEs

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jonathan Brodeur ◽  
Robert Pellerin ◽  
Isabelle Deschamps
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Digital Transformation ◽  
Collaborative Approach ◽  
Longitudinal Case Study ◽  
Content Type ◽  
Aerospace Manufacturing ◽  
Research Findings ◽  
New Perspective

PurposeThis paper aims to propose a collaborative approach model developed based on observations of two aerospace manufacturing small and medium-sized enterprises (SMEs) pursuing their digital transformation toward Industry 4.0.Design/methodology/approachThis research focuses on two manufacturing SMEs in North America, and data were collected using longitudinal case study and research intervention method. Data collection was performed through observation and intervention within the collaborative projects over 18 months.FindingsA model of a collaborative approach to digital transformation (CADT) for manufacturing SMEs was produced. Based on the study findings, the collaboration manifests itself at various stages of the transformation projects, such as the business needs alignment, project portfolio creation, technology solution selection and post-mortem phase.Research limitations/implicationsResearch using the case study method has a limitation in the generalization of the model. The CADT model generated in this study might be specific to the aerospace manufacturing industry and collaboration patterns between manufacturing SMEs. The results could vary in different contexts.Practical implicationsThe proposed CADT model is particularly relevant for manufacturing SMEs' managers and consultants working on digital transformation projects. By adopting this approach, they could better plan and guide their collaboration approach during their Industry 4.0 transformation.Originality/valueThis research provides a new perspective to digital transformation approaches in the aerospace industry. It can be integrated into other research findings to formulate a more integrated and comprehensive CADT model in industries where SMEs are significant players.

Key Enablers Assessment to Implement Industry 4.0 Technologies in the Future for the Turkish Manufacturing Sector

2021 ◽  
pp. 243-265
Author(s):  
Ahmet Çalık
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Manufacturing Sector ◽  
Manufacturing Companies ◽  
Analytic Hierarchy ◽  
Adoption And Implementation ◽  
Machinery Manufacturing ◽  
Hierarchy Process ◽  
Production And Operation

Industry 4.0 (I4.0), which reshapes traditional production and operation methods and causes companies to be under digital transformation, is currently an evolving research topic. Although advanced technologies can be easily adopted by large companies. In particular, there are still challenges in the adoption and implementation of I4.0 technologies in small and medium-sized enterprises (SMEs). This study examines the readiness of companies in the machinery manufacturing industry to implement I4.0 technologies in the context of SMEs. To achieve this goal, a multi-criteria decision-making (MCDM) approach including the pythagorean Fuzzy Analytic Hierarchy Process (PFAHP) and fuzzy VIKOR (FVIKOR) is proposed. First, existing readiness models linked to the implementation of I4.0 technologies have been studied to specify key enablers. Then, the PFAHP method is used to obtain weights of enablers on I4.0 technologies. Finally, FVIKOR is applied to obtain ranking for five companies. A case study is conducted to measure the level of readiness of five manufacturing companies in Konya.

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