Indian supply chain ecosystem readiness assessment for Industry 4.0

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shubham Tripathi ◽  
Manish Gupta
Keyword(s):  
Supply Chain ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Business Environment ◽  
Government Support ◽  
Readiness Assessment ◽  
Content Type ◽  
Start Up ◽  
Transformation Potential ◽  
Two Stages

PurposeThe article analyses the current readiness of India to transform its supply chain ecosystem to smarter systems with Fourth Industrial Revolution.Design/methodology/approachThe analysis is carried out in two stages. First, the readiness of India is assessed globally, and then the rate of transformation over the years and supporting policies are analyzed to understand the transformation potential. This analysis is done across nine identified macro factors namely government support, regulations, business environment, human resource, infrastructure, innovation capability, technological advancements, cybersecurity and digital awareness. The study combines empirical data from 2010 onwards with the strategic literature published by government bodies and institutions for analysis.FindingsResults show that India's readiness is just above the global average with a score of 0.44 on a scale of 0–1 (most ready). Government and start-up culture are found to be leading transformation factors, while digital infrastructure, regulations and cybersecurity are most lacking areas.Originality/valueThis study is first of its kind to the best of our knowledge. The academic literature has not reported studies assessing Industry 4.0 readiness of supply chain ecosystem using macro factors for nations.

Digital readiness assessment of Italian SMEs: a case-study research

2019 ◽  
Vol 31 (5) ◽  
pp. 1045-1083 ◽  
Author(s):  
Fabiana Pirola ◽  
Chiara Cimini ◽  
Roberto Pinto
Keyword(s):  
Case Studies ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Case Study Research ◽  
Data Availability ◽  
Assessment Model ◽  
Medium Size ◽  
Readiness Assessment ◽  
Content Type ◽  
Proposed Model

Purpose Given the challenges that Industry 4.0 poses, the purpose of this paper is to propose a comprehensive assessment model suitable for evaluating small- and medium-size enterprises’ (SMEs) digital readiness levels, discuss the results of an assessment of 20 manufacturing SMEs using the proposed model and highlight priorities needed to undertake a successful journey towards Industry 4.0. Design/methodology/approach The research adopts an empirical approach using multiple case studies. Starting with a literature review about maturity and readiness-assessment models for Industry 4.0, the study’s model has been built and validated through two pilot case studies, with the final model used in an extensive case studies research with 20 enterprises. Findings The SMEs used in this research present an intermediate readiness level with respect to Industry 4.0. They are aware of the phenomenon, but management is still taking the first steps towards identifying the most appropriate strategy to approach this Fourth Industrial Revolution. Companies need to exploit all opportunities that data availability provides in terms of knowledge creation and decision-making support, in all forms, through investments in people skills and expertise and through an infrastructure that can support data gathering, analysis and sharing. Originality/value The Italian industrial landscape comprises mainly SMEs, mostly needing support to understand their path towards Industry 4.0. Therefore, the proposed model specifically focuses on SMEs, given its modularity, ease of understanding and fit to SMEs’ organisational structure. Furthermore, insights from 20 Italian SMEs are examined, and a list of priorities is highlighted.

scholarly journals Digital Supply Chain Agility Analysis Using IFTOPSIS Method

2020 ◽  
Vol 8 ◽  
pp. 11-15
Author(s):  
Burak Berkay Havle ◽  
Nazli Goker ◽  
Mehtap Dursun
Keyword(s):  
Supply Chain ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Fuzzy Topsis ◽  
Business Environment ◽  
Smart Systems ◽  
Supply Chain Agility ◽  
Logistics Company ◽  
Technological Developments ◽  
Intuitionistic Fuzzy Topsis

Technological developments have taken place in many areas since the occurrence of industrial revolution. The technological developments have entered the digitalization path with the industry 4.0 and have taken the potential of firms in terms of volume and diversity in response to unexpected and sudden changes in demand and markets as well as efficiency and increase the competitiveness and technological advancements in the process of supplying them and accelerated the digitalization process. With all this, it has highlighted the structure of the digital supply chain agility (ADSC), which is a means of competitiveness in today's dynamic and turbulent business environment within the supply chain. At this stage, logistics companies have sought to integrate digital technologies, smart systems, internet, robots and mobile applications into the supply chain, thus aiming to achieve higher agility. Firms aim to improve their processes and to keep customer satisfaction high, to maintain their profitability and to survive in the competitive market. The aim of this study is to increase the ability to respond to the changing and developing market and market conditions and to include the best logistics company which can fulfill the demands and requirements of a company that is trying to comply with Industry 4.0 requirements. Intuitionistic fuzzy TOPSIS method is employed to select the most appropriate logistic company.

A case study: How did IoT start-up Distronix change its business model to sustain growth in the pay-per-use economy

2021 ◽  
pp. 204388692098158
Author(s):  
Dipankar Chakrabarti ◽  
Rohit Kumar ◽  
Soumya Sarkar ◽  
Arindam Mukherjee
Keyword(s):  
Internet Of Things ◽  
Business Model ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Project Delivery ◽  
Public Cloud ◽  
Industrial Internet Of Things ◽  
Start Up ◽  
Industrial Internet ◽  
Fixed Fee

Industrial Internet of Things emerged as one of the major technologies enabling Industry 4.0 for industries. Multiple start-ups started working in the Industrial Internet of Things field to support this new industrial revolution. Distronix, one such Industrial Internet of Things start-up of India, started operations in 2014, when companies were not even aware of Industrial Internet of Things. Distronix started executing fixed-fee projects for implementation of Industrial Internet of Things. They also started manufacturing sensors to support large customers end-to-end in their Industry 4.0 journey. With the advent of public cloud, companies started demanding pay-per-use model for the solution Distronix provided. This posed a major challenge to Distronix as they had developed technology skills focusing fixed-fee customized project delivery for their clients. The situation demanded that they change their business model from individual project delivery to creation of product sand-box with pre-registered sensors and pre-defined visualization layer to support use cases for Industrial Internet of Things implementation in multiple industry sectors. It forced Rohit Sarkar, the 26 years old entrepreneur and owner of Distronix, to upgrade capabilities of his employees and transform the business model to support pay-per-use economy popularized by public cloud providers. The case discusses the challenges Rohit faced to revamp their business model in such an emerging technology field, like, to develop new skills of the technical people to support such novel initiative, reorienting sales people towards pay as use model, developing new concept of plug and play modular product, devising innovative pricing, better alliance strategy and finding out a super early adopter.

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.

An analysis of Industry 4.0 implementation-variables by using SAP-LAP and e-IRP approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Veepan Kumar ◽  
Ravi Shankar ◽  
Prem Vrat
Keyword(s):  
Industry 4.0 ◽  
Business Environment ◽  
Content Type ◽  
Qualitative And Quantitative ◽  
Wide Range ◽  
Interpretive Ranking Process ◽  
Relevant Variables ◽  
Manufacturing Organization ◽  
Industry Associations ◽  
Practical Implications

PurposeIn today’s uncertain business environment, Industry 4.0 is regarded as a viable strategic plan for addressing a wide range of manufacturing-related challenges. However, it appears that its level of adoption varies across many countries. In the case of a developing economy like India, practitioners are still in the early stages of implementation. The implementation of Industry 4.0 appears to be complex, and it must be investigated holistically in order to gain a better understanding of it. Therefore, an attempt has been made to examine the Industry 4.0 implementation for the Indian manufacturing organization in a detailed way by analyzing the complexities of relevant variables.Design/methodology/approachSAP-LAP (situation-actor-process and learning-action-performance) and an efficient interpretive ranking process (e-IRP) were used to analyze the various variables influencing Industry 4.0 implementation. The variables were identified, as per SAP-LAP, through a thorough review of the literature and based on the perspectives of various experts. The e-IRP has been used to prioritize the selected elements (i.e. actors with respect to processes and actions with respect to performance) of SAP-LAP.FindingsThis study ranked five stakeholders according to their priority in Industry 4.0 implementation: government policymakers, industry associations, research and academic institutions, manufacturers and customers. In addition, the study also prioritized important actions that need to be taken by these stakeholders.Practical implicationsThe results of this study would be useful in identifying and managing the various actors and actions related to Industry 4.0 implementation. Accordingly, their prioritized sequence would be useful to the practitioners in preparing the well-defined and comprehensive strategic roadmap for Industry 4.0.Originality/valueThis study has adopted qualitative and quantitative approaches for identifying and prioritizing different variables of Industry 4.0 implementation. This, in turn, helps the stakeholder to comprehend the concept of Industry 4.0 in a much simpler way.

Reinforcing the significance of human factor in achieving quality performance in data-driven supply chain management

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sanjana Mondal ◽  
Kaushik Samaddar
Keyword(s):  
Supply Chain ◽  
Organizational Performance ◽  
Industry 4.0 ◽  
Management Practices ◽  
Human Factor ◽  
Research Work ◽  
Data Driven ◽  
Theory Approach ◽  
Quality Performance ◽  
Content Type

PurposeThe paper aims to explore the various dimensions of human factor relevant for integrating data-driven supply chain quality management practices (DDSCQMPs) with organizational performance. Keeping the transition phase from “Industry 4.0” to “Industry 5.0” in mind, the paper reinforces the role of the human factor and critically discusses the issues and challenges in the present organizational setup.Design/methodology/approachFollowing the grounded theory approach, the study arranged in-depth interviews and focus group sessions with industry experts from various service-oriented firms in India. Dimensions of human factor identified from there were grouped together through a morphological analysis (MA), and interlinkages between them were explored through a cross-consistency matrix.FindingsThis research work identified 20 critical dimensions of human factor and have grouped them under five important categories, namely, cohesive force, motivating force, regulating force, supporting force and functional force that drive quality performance in the supply chain domain.Originality/valueIn line with the requirements of the present “Industry 4.0” and the forthcoming “Industry 5.0”, where the need to collaborate human factor with smart system gets priority, the paper made a novel attempt in presenting the critical human factors and categorizing them under important driving forces. The research also contributed in linking DDSCQMPs with organizational performance. The proposed framework can guide the future researchers in expanding the theoretical constructs through initiating further cross-cultural studies across industries.

Applying Industry 4.0 technologies in the COVID–19 sustainable chains

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Carina Acioli ◽  
Annibal Scavarda ◽  
Augusto Reis
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Industry 4.0 ◽  
Supply Chain Performance ◽  
Chain Process ◽  
Sustainable Supply Chain ◽  
Content Type ◽  
Sustainable Performance ◽  
The Social ◽  
New Research

PurposeThe purpose of this paper is 1) to investigate the effects on the crucial Industry 4.0 technological innovations that interact between the real and virtual worlds and that are applied in the sustainable supply chain process; 2) to contribute to the identification of the opportunities, the challenges and the gaps that will support the new research study developments and 3) to analyze the impact of the Industry 4.0 technologies as facilitators of the sustainable supply chain performance in the midst of the Coronavirus (COVID-19).Design/methodology/approachThis research is performed through a bibliographic review in the electronic databases of the Emerald Insight, the Scopus and the Web of Science, considering the main scientific publications on the subject.FindingsThe bibliographic search results in 526 articles, followed by two sequential filters for deleting the duplicate articles (resulting in 487 articles) and for selecting the most relevant articles (resulting in 150 articles).Practical implicationsThis article identifies the opportunities and the challenges focused on the emerging Industry 4.0 theme. The opportunities can contribute to the sustainable performance of the supply chains and their territories. The Industry 4.0 can also generate challenges like the social inequalities related to the position of the man in the labor market by replacing the human workforce with the machines. Therefore, the man-machine relationship in the Industry 4.0 era is analyzed as a gap in the literature. Therefore, as a way to fill this gap, the authors of this article suggest the exploration of the research focused on the Society 5.0. Also known as “super-smart society,” this recent theme appeared in Japan in April 2016. According to Fukuda (2020), in addition to the focus on the technological development, the Society 5.0 also aims at the quality of life and the social challenge resolutions.Originality/valueThis article contributes to the analysis of the Industry 4.0 technologies as facilitators in the sustainable supply chain performance. It addresses the impacts of the Industry 4.0 technologies applied to the supply chains in the midst of the COVID-19 pandemic, and it analyzes the research gaps and limitations found in the literature. The result of this study can add value and stimulate new research studies related to the application of the Industry 4.0 technologies as facilitators in the supply chain sustainable performance. It can encourage the studies related to the COVID-19 impacts on the sustainable supply chains, and it can promote the research development on the relationship among the man, the machine and the labor in the Fourth Industrial Revolution.

Interpreting the industry 4.0 future: technology, business, society and people

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Holger Schiele ◽  
Anna Bos-Nehles ◽  
Vincent Delke ◽  
Peter Stegmaier ◽  
Robbert-Jan Torn
Keyword(s):  
Business Strategy ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Business And Society ◽  
Holistic View ◽  
Content Type ◽  
Future Technology ◽  
Technological Advances ◽  
Tool Set ◽  
Strategy Design

Purpose Industrial revolutions have been induced by technological advances, but fundamentally changed business and society. To gain a comprehensive understanding of the fourth industrial revolution (I4.0) and derive guidelines for business strategy, it is, therefore, necessary to explore it as a multi-facet phenomenon. Most literature on I4.0, however, takes up a predominantly technical view. This paper aims to report on a project discussing a holistic view on I4.0 and its implications, covering technology, business, society and people. Design/methodology/approach Two consecutive group discussions in form of academic world cafés have been conducted. The first workshop gathered multi-disciplinary experts from academia, whose results were further validated in a subsequent workshop including industry representatives. A voting procedure was used to capture participants perspectives. Findings The paper develops a holistic I4.0 vision, focusing on five core technologies, their business potential, societal requests and people implications. Based on the model a checklist has been developed, which firms can use a tool to analyze their firm’s situation and draft their industry 4.0 business strategy. Originality/value Rather than focusing on technology alone – which by itself is unlikely to make up for a revolution – this research integrates the entire system. In this way, a tool-set for strategy design results.

Developing a model for supply chain agility and innovativeness to enhance firms’ competitive advantage

2019 ◽  
Vol 57 (7) ◽  
pp. 1511-1534 ◽  
Author(s):  
Chih-Jou Chen
Keyword(s):  
Supply Chain ◽  
Competitive Advantage ◽  
Dynamic Capabilities ◽  
Business Environment ◽  
Structural Equations ◽  
Survey Method ◽  
Content Type ◽  
Supply Chain Agility ◽  
It Integration ◽  
The Impact

Purpose Developing agility and innovativeness as dynamic capabilities are important for firms to sustain their competitive advantage in today’s global economy. The purpose of this paper is to develop and empirically test a framework to investigate how the supply chain agility and innovativeness are achieved through IT integration and trust in members of supply chain and how these, in turn, can enhance firms’ competitive advantage. Design/methodology/approach This research employs a survey method and data are collected from senior managers working in the supply chain or IT area. The model and hypotheses are tested utilizing data from 204 usable Taiwan manufacturing firms via structural equations modeling methodology. Findings The study demonstrates that both IT integration and trust in supply chain members significantly enhance supply chain agility and innovativeness, which in turn positively affect firm’s competitive advantage. The results indicate that IT integration and trust are antecedents and major joint partnership resources for improving supply chain agility and innovativeness. Research limitations/implications Data are collected from manufacturing industry in Taiwan and single respondent from each firm, the generalizability of current findings to other industries or countries should require additional investigation. Practical implications The study suggests that a firm should focus on IT integration and trust in supply chain members to achieve supply chain agility and innovativeness. To take advantage of supply chain agility and innovativeness, through maximizing firm’s competitive advantage, firms should continually adapt to the fast changing business environment and search for creative ways to satisfy new market needs. Originality/value Given the attention paid to supply chain agility and innovativeness in terms of importance to responding to business uncertainty and competitiveness, and more recently, as important capabilities in managing supply chain management, this paper investigates how IT integration and trust can contribute to supply chain agility and innovativeness. Provide evidence regarding the impact of IT integration and trust on agility of supply chains, innovativeness and competitive advantage.

scholarly journals Maturity Level of Kosovo Manufacturing Industry with regard to Industry 4.0

2018 ◽  
Vol 6 (3) ◽  
pp. 1-8
Author(s):  
Fatmir Azemi ◽  
Edmond Hajrizi ◽  
Bekim Maloku
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Chief Executive ◽  
Business Environment ◽  
Average Score ◽  
Furniture Industry ◽  
Manufacturing Companies ◽  
Maturity Level ◽  
Unskilled Workers

In this paper the concept of Maturity Level of Kosovo Industry will be presented according to the Industry 4.0. Digitalization of factory has impact the entire business environment and lead to Smart Enterprises. To create a model of Smart Factory, first we have analyzed the existing situation of Kosovo Manufacturing Industry with regard to revolution of Industry. In this paper we will describe the results of a recent research at the Kosovo manufacturing companies and are included metalworking and furniture industry, where is developed a Maturity Level for Kosovo Industry. To describe the Maturity Level of Kosovo Industry we have delivered questionnaire and have been done interviews with CEOs (Chief Executive Officer). The average score of Industrial Maturity Level for Kosovo Industry is 2.14 which represent 2nd Industrial Revolution, but some of enterprises belong to 3rd Industrial Revolution. Also, the main barriers of this low level of Maturity Level of Kosovo Industry are highlights based on questionnaire and interviews with CEOs, such as: lack of training programs, language barriers, high cost of purchasing/maintenance of technology, unskilled workers, and est.

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