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.

Implementation of green supplier development process model in Indian automobile industry

2018 ◽  
Vol 29 (5) ◽  
pp. 938-960 ◽  
Author(s):  
Shivangi Viral Thakker ◽  
Santosh B. Rane
Keyword(s):  
Automobile Industry ◽  
Process Model ◽  
Large Scale ◽  
Manufacturing Industry ◽  
Supplier Development ◽  
Journal Articles ◽  
Content Type ◽  
Automobile Components ◽  
Green Suppliers

Purpose The purpose of this paper is to develop a green supplier development (GSD) process model and validate the model with a case study in Indian automobile industry. Design/methodology/approach A literature survey of peer-reviewed journal articles, survey reports and paradigmatic books with managerial impact is done for the research. The process of GSD is modeled using stage-gate approach and KPIV and KPOV of the process are determined. The process model is implemented in an Indian automobile components manufacturing industry for validation. Findings The industry implemented the model with ten suppliers and was able to successfully convert seven of them into Green suppliers. Remaining three suppliers were asked to repeat the process again or terminate the contracts. Model implementation took around three years starting from planning of resources and finances to actual development of suppliers. Research limitations/implications The model implementation was done with a small automobile industry and hence the validation and implications may be generalized by taking the case study further in different industries. It would be beneficial to test the model with case studies of large-scale industries. Practical implications The process model for implementing GSD activities will help managers in taking complex investment decisions. The stages and process inputs and outputs are clearly defined which helps the managers to successfully develop the suppliers. Originality/value This paper puts forward the process model that should be implemented for the successful development of green suppliers. It might represent new opportunities for rigorous and relevant research in the area of green supply chain.

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.

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.

Implementation of lean in IT SME company: an Italian case

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marco Torri ◽  
Kaustav Kundu ◽  
Stefano Frecassetti ◽  
Matteo Rossini
Keyword(s):  
Manufacturing Industry ◽  
Service Sector ◽  
Manufacturing Sector ◽  
Single Case ◽  
Value Added ◽  
Lean Implementation ◽  
Content Type ◽  
Italian Case ◽  
Lean Practices

Purpose In spite of huge advancement of Lean in the manufacturing sector, its advantage in the service sector is not fully investigated. The purpose of this paper is to cover this gap in particular for the information technology (IT) sector through the implementation of the Lean philosophy in a small- and medium-sized enterprise (SME), operating in the IT sector. Design/methodology/approach A case study is conducted and following the A3 model, Lean is deployed in the case company. Data were collected through on-site interviews, waste sources were identified and then countermeasures for their reduction were proposed and adopted. Findings This study reveals that the implementation of the Lean practices in an SME operating in the IT sector offers good operative and financial results, thanks to the higher productivity obtained through the reduction of non-value-added activities. Research limitations/implications This paper reports a single case study, not enough to generalize the results. Moreover, more Lean tools and practices should be tested in IT companies to assess their effectiveness. Practical implications This paper increments the knowledge base for the application of Lean and A3 model outside the manufacturing industry. This paper should assist practitioners and consultants who have the desire to understand a better way of Lean implementation in fast-growing IT industry and in SME. Originality/value Research on Lean implementation in an SME company and in IT sector is scarce. This study aims to assess the efficiency of the adoption of Lean practices following the A3 model. The results could be highly valuable for similar companies (dimension or sector), especially those that are facing transition situations in terms of size and at the same time want to improve their operations performance, efficiency and avoid waste.

Assessing Industry 4.0 readiness in manufacturing: a self-diagnostic framework and an illustrative case study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Krishnamurthy Ramanathan ◽  
Premaratne Samaranayake
Keyword(s):  
Diagnostic Tool ◽  
Industry 4.0 ◽  
Emerging Economy ◽  
Illustrative Case ◽  
Assessment Framework ◽  
Structured Interviews ◽  
Readiness Assessment ◽  
Manufacturing Firm ◽  
Content Type

PurposeThe purpose of this paper is to present an Industry 4.0 Readiness Assessment Framework (I4.0RAF) and demonstrate its applicability and practical relevance through a case study of a large manufacturing firm in an emerging economy.Design/methodology/approachThe research firstly involved a synthesis of recent literature for the identification of important determinants, and their constituent criteria, for assessing the readiness of a manufacturing firm to transition to an Industry 4.0 setting and structuring them into a readiness assessment framework that can be used as a self-diagnostic tool. The framework was illustrated through a case study. The empirical findings of readiness assessment are validated using semi-structured interviews of senior management of the organization.FindingsThe proposed I4.0RAF was found to be a practically applicable self-diagnostic tool that can be used to assess a firm's readiness to transition to an Industry 4.0 setting with respect to eight important determinants. Cross-functional participation in the assessment helped the organization to determine priorities and interdependencies among the determinants.Research limitations/implicationsThe determinants and their constituent criteria can be further streamlined using inputs from practitioners, consultants and academics.Practical implicationsThe findings demonstrate the interdependencies between the determinants, help to delineate interventions that can lead to synergistic outcomes and enabls planning to achieve higher levels of Industry 4.0 maturity.Originality/valueA self-diagnostic tool as a basis for an informed discussion on transitioning to an Industry 4.0 setting is presented and illustrated through a case study in an emerging economy.

Reshoring drivers and barriers in the Swedish manufacturing industry

2018 ◽  
Vol 11 (2) ◽  
pp. 174-201 ◽  
Author(s):  
Gabriella Engström ◽  
Kristina Sollander ◽  
Per Hilletofth ◽  
David Eriksson
Keyword(s):  
Manufacturing Industry ◽  
Future Research ◽  
Location Decisions ◽  
Location Decision ◽  
Manufacturing Companies ◽  
Content Type ◽  
Manufacturing Location ◽  
Practical Implications ◽  
Insight Into

PurposeThe purpose of this study is to explore reshoring drivers and barriers from a Swedish manufacturing perspective.Design/methodology/approachThis paper is a case study, including four Swedish manufacturing companies, with focus on drivers and barriers from the context of the Swedish manufacturing industry. A literature review of previously established drivers and barriers is used to map out the empirical findings and thereby identify potential gaps between the current body of literature and drivers and barriers from a Swedish manufacturing context.FindingsThe findings of the study suggest that quality issues continue to be one of the strongest reshoring drivers. Except for product quality, quality is also connected to host country’s infrastructure, communication and service. The supply chain perspective is a source of several drivers and is identified as a perspective often overlooked in offshoring decisions. Barriers related to firm specifics were more elaborately discussed by the companies, especially concerning calculation of location decision and the need to invest in resources, which allows for a higher level of capacity at the home country facility.Research limitations/implicationsThe study develops a structured table of reshoring drivers and barriers which can serve as a base for future research. Future research on the calculation of location decisions is deemed as a crucial step to further understand reshoring and aid companies in the decision-making process.Practical implicationsThe drivers and barriers identified in the study can give practitioners insight into reshoring from the perspective of the Swedish manufacturing industry and thus aid in future manufacturing location decisions. The table of drivers and barriers can also be important to understand how Sweden can strengthen its competitive advantage and motivate more companies to reshore manufacturing.Originality/valueThis is one of only few papers from the Nordic countries and also one of few case studies examining reshoring in manufacturing companies.

SMED for quick changeover in manufacturing industry – a case study

2018 ◽  
Vol 25 (7) ◽  
pp. 2065-2088 ◽  
Author(s):  
Jagdeep Singh ◽  
Harwinder Singh ◽  
Inderdeep Singh
Keyword(s):  
Manufacturing Industry ◽  
Setup Time ◽  
Industrial Engineering ◽  
Small Scale ◽  
Small Enterprises ◽  
Production Environment ◽  
Content Type ◽  
Northern India ◽  
Manufacturing Environments

Purpose The purpose of this paper is to uncover the significance of SMED in manufacturing environments. Design/methodology/approach The paper gives setup instructions and guidelines to prepare the standardized setup procedure without ignoring actual constraints in production environment. It uses a case study in a small-scale manufacturing unit of northern India to generate an integrated setup reduction approach, utilizing Single Minute Exchange of Die (SMED)-based industrial engineering tools to achieve faster setups. It describes the feasibility of quick changeovers in small enterprises based on an “SMED” approach. Finally, the paper carries out empirical analysis of the financial/non-financial benefits incurred from setup reductions. Findings Setup activities are a vital part of the production lead time of any product and so affect overall product cost. Industrial engineering techniques have been used to analyze the existing procedure of setups. A SMED approach can help eliminate unwanted activities, externalize the internal activities, if possible, and reduce them by simplification or standardization. Originality/value The paper demonstrates the practical application of SMED showing how it can bring real breakthroughs in reducing setup time in small-scale manufacturing.

Reducing failure rate at high voltage (HV) testing of insulator using Six Sigma methodology

2018 ◽  
Vol 67 (5) ◽  
pp. 791-808 ◽  
Author(s):  
Darshak A. Desai ◽  
Aurangzeb Javed Ahmed Shaikh
Keyword(s):  
Failure Rate ◽  
High Voltage ◽  
Six Sigma ◽  
Manufacturing Industry ◽  
Small Scale ◽  
Case Study Methodology ◽  
Content Type ◽  
Sigma Level ◽  
Ceramic Manufacturing

PurposeThis paper, a case study, aims to illustrate the application of Six Sigma in a small-scale ceramic manufacturing industry. The purpose of this paper is to demonstrate the empirical application of DMAIC methodology to reduce failure rate at high voltage (HV) testing of one of the most critical products, insulator.Design/methodology/approachThe case study is based on primary data collected from a real-life situation prevailing in the industry. The case study methodology adopted here is at one small-scale unit wherein the authors have applied DMAIC methodology and observed and recorded the improvement results, especially, reduction in failure rate at HV testing of insulator and, thus, increase in Sigma level.FindingsThe results found after implementation of the solutions are very significant. The rejection percentage has been reduced from 0.5 to 0.1 percent and consequently the Sigma level has been improved from 4.4 to 5.0.Research limitations/implicationsThis success story can be a guiding roadmap for other such industries to successfully implement Six Sigma to improve quality, productivity and profitability.Practical implicationsThis case study will serve as one of the resource bases for the industries which have till not implemented Six Sigma and benefited from the same.Social implicationsImproved quality and productivity leads to better economy. This case will help industries to serve the society with better economy with improved quality and productivity.Originality/valueThough ceramic industries in India are having enormous potential for growth, majority of them, especially, small and medium industries are either not aware of or not implementing Six Sigma to reap its multidimensional benefits of improving quality, productivity and profitability. This study highlights the benefits reaped by small-scale ceramic manufacturing industry opening up the avenues for its application at other such organizations.

Development of sustainable value stream mapping (SVSM) for unit part manufacturing

2019 ◽  
Vol 11 (3) ◽  
pp. 493-514 ◽  
Author(s):  
Aatish Kumar Mishra ◽  
Ayush Sharma ◽  
Moraldeepsingh Sachdeo ◽  
Jayakrishna K.
Keyword(s):  
Manufacturing Industry ◽  
Main Tool ◽  
Organizational Level ◽  
Value Stream Mapping ◽  
Simulation Approach ◽  
Content Type ◽  
Study Approach ◽  
Value Stream ◽  
Sustainable Value

Purpose The main purpose of this paper is to analyze the current state of a bonnet-manufacturing industry and to optimize the process by designing a future state map using simulation approach. Design/methodology/approach The case study approach has been proposed to highlight the applicability of value stream mapping (VSM) in an Indian bonnet manufacturing organization. The methodology used relies on formulation of VSM being the main tool used to identify the opportunities for classifying and eliminating bottlenecks with the help of various lean techniques. A contrast of present and past scenarios is highlighted to underscore the importance of using VSM with ARENA simulation. Findings Application of the proposed simulation approach has helped the organization reduce the cycle time significantly by 30 per cent over the entire production time. The average number of work-in-progress pieces has also decreased by about ten. In addition, enhancements have been seen with respect to ecological parameters, e.g. carbon footprint has been reduced to 83.7 percent across the process. Research limitations/implications The proposed approach of using a simulation-based VSM helps in reducing the time involved in traditional VSM method. This approach is also easy to implement at any organizational level. Practical implications It is believed that this paper will aid not just industrialists but also academic professionals to appreciate the role of simulation using ARENA in helping them understand how to attack the various problems faced by industries. The results of the study indicate that by applying this methodology, there will be a reduction not only in cost but also in environmental impacts. Originality/value The paper incorporates a real case study, which shows application of VSM for implementing lean principles in a bonnet-manufacturing industry. Break-even analysis presented fills the gap which previous literatures have been missing.

Corporate survival in Industry 4.0 era: the enabling role of lean-digitized manufacturing

2019 ◽  
Vol 31 (1) ◽  
pp. 1-30 ◽  
Author(s):  
Morteza Ghobakhloo ◽  
Masood Fathi
Keyword(s):  
Enterprise Resource Planning ◽  
Industry 4.0 ◽  
Manufacturing System ◽  
Resource Planning ◽  
Security And Privacy ◽  
Social Implications ◽  
Future Research ◽  
Manufacturing Firm ◽  
Content Type

Purpose The purpose of this paper is to demonstrate how small manufacturing firms can leverage their Information Technology (IT) resources to develop the lean-digitized manufacturing system that offers sustained competitiveness in the Industry 4.0 era. Design/methodology/approach The study performs an in-depth five years case study of a manufacturing firm, and reports its journey from failure in the implementation of enterprise resource planning to its success in integrating IT-based technology trends of Industry 4.0 with the firm’s core capabilities and competencies while pursuing manufacturing digitization. Findings Industry 4.0 transition requires the organizational integration of many IT-based modern technologies and the digitization of entire value chains. However, Industry 4.0 transition for smaller manufacturers can begin with digitization of certain areas of operations in support of organizational core strategies. The development of lean-digitized manufacturing system is a viable business strategy for corporate survivability in the Industry 4.0 setting. Research limitations/implications Although the implementation of lean-digitized manufacturing system is costly and challenging, this manufacturing strategy offers superior corporate competitiveness in the long run. Since this finding is rather limited to the present case study, assessing the business value of lean-digitized manufacturing system in a larger scale research context would be an interesting avenue for future research. Practical implications Industry 4.0 transition for typical manufacturers should commensurate with their organizational, operational and technical particularities. Digitization of certain operations and processes, when aligned with the firm’s core strategies, capabilities and procedures, can offer superior competitiveness even in Industry 4.0 era, meaning that the strategic plan for successful Industry 4.0 transition is idiosyncratic to each particular manufacturer. Social implications Manufacturing digitization can have deep social implications as it alters inter- and intra-organizational relationships, causes unemployment among low-skilled workforce, and raises data security and privacy concerns. Manufacturers should take responsibility for their digitization process and steer it in a direction that simultaneously safeguards economic, social and environmental sustainability. Originality/value The strategic roadmap devised and employed by the case company for managing its digitization process can better reveal what manufacturing digitization, mandated by Industry 4.0, might require of typical manufacturers, and further enable them to better facilitate their digital transformation process.

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