Sustaining India's Gig Economy in Industry 4.0

2022 ◽  
pp. 172-189
Author(s):  
Vidushi Vatsa ◽  
Ruchika Gupta ◽  
Priyank Srivastava
Keyword(s):  
Labour Market ◽  
Industry 4.0 ◽  
Analytical Framework ◽  
Transformation Process ◽  
Gradual Improvement ◽  
Indian Economy ◽  
Advantages And Disadvantages ◽  
Gig Economy ◽  
Brick And Mortar ◽  
Policy Proposals

Today's corporate landscape is undergoing a transformation process, and India is not untouched by these phases of transition as humans are replaced by computers and brick-and-mortar firms are substituted by e-commerce companies. In the midst of these shifts, issues such as labour dynamics have changed dramatically. One such consequence is the Gig Economy. With the gradual improvement in the labour market and the focus of government on localisation, it remains important to analyse the widespread influence of growing gig culture in making India a self-reliant economy. This chapter of the book therefore seeks to review the different components of the gig economy along with the advantages and disadvantages and how gig can contribute towards a localised and self-reliant Indian economy. The chapter also evaluates the regulatory framework of the gig economy in India. The chapter also proposes a conceptual model incorporating various pillars that could serve as an analytical framework for the rapidly increasing number of concepts and policy proposals.

scholarly journals Industry 4.0 Lean Shopfloor Management Characterization Using EEG Sensors and Deep Learning

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2860 ◽  
Author(s):  
Daniel Schmidt ◽  
Javier Villalba Diez ◽  
Joaquín Ordieres-Meré ◽  
Roman Gevers ◽  
Joerg Schwiep ◽  
...  
Keyword(s):  
Deep Learning ◽  
Continuous Improvement ◽  
Balanced Scorecard ◽  
Industry 4.0 ◽  
Transformation Process ◽  
Eeg Signals ◽  
Advantages And Disadvantages ◽  
Non Invasive ◽  
Recorded Data ◽  
The Brain

Achieving the shift towards Industry 4.0 is only feasible through the active integration of the shopfloor into the transformation process. Several shopfloor management (SM) systems can aid this conversion. They form two major factions. The first includes methodologies such as Balanced Scorecard (BSC). A defining feature is rigid structures to fixate on pre-defined goals. Other SM strategies instead concentrate on continuous improvement by giving directions. An example of this group is the “HOSHIN KANRI TREE” (HKT). One way of analyzing the dissimilarities, the advantages and disadvantages of these groups, is to examine the neurological patterns of workers as they are applying these. This paper aims to achieve this evaluation through non-invasive electroencephalography (EEG) sensors, which capture the electrical activity of the brain. A deep learning (DL) soft sensor is used to classify the recorded data with an accuracy of 96.5%. Through this result and an analysis using the correlations of the EEG signals, it has been possible to detect relevant characteristics and differences in the brain’s activity. In conclusion, these findings are expected to help assess SM systems and give guidance to Industry 4.0 leaders.

scholarly journals SQL and NoSQL Databases in the Context of Industry 4.0

2021 ◽  
Author(s):  
Vitor Furlan de Oliveira ◽  
Marcosiris Amorim de Oliveira Pessoa ◽  
Fabrício Junqueira ◽  
Paulo Eigi Miyagi
Keyword(s):  
Big Data ◽  
Data Storage ◽  
Industry 4.0 ◽  
Transformation Process ◽  
Data Models ◽  
Technological Transformation ◽  
Nosql Databases ◽  
Five Dimensions ◽  
Advantages And Disadvantages ◽  
Logical Data

The data-oriented paradigm has proven to be fundamental for the technological transformation process that characterizes Industry 4.0 (I4.0) so that Big Data & Analytics is considered a technological pillar of this process. The literature reports a series of system architecture proposals that seek to implement the so-called Smart Factory, which is primarily data-driven. Many of these proposals treat data storage solutions as mere entities that support the architecture's functionalities. However, choosing which logical data model to use can significantly affect the performance of the architecture. This work identifies the advantages and disadvantages of relational (SQL) and non-relational (NoSQL) data models for I4.0, taking into account the nature of the data in this process. The characterization of data in the context of I4.0 is based on the five dimensions of Big Data and a standardized format for representing information of assets in the virtual world, the Asset Administration Shell. This work allows identifying appropriate transactional properties and logical data models according to the volume, variety, velocity, veracity, and value of the data. In this way, it is possible to describe the suitability of SQL and NoSQL databases for different scenarios within I4.0.

scholarly journals SQL and NoSQL Databases in the Context of Industry 4.0

Machines ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 20
Author(s):  
Vitor Furlan de Oliveira ◽  
Marcosiris Amorim de Oliveira Pessoa ◽  
Fabrício Junqueira ◽  
Paulo Eigi Miyagi
Keyword(s):  
Big Data ◽  
Data Storage ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Intelligent Manufacturing ◽  
Transformation Process ◽  
Data Models ◽  
Nosql Databases ◽  
Advantages And Disadvantages ◽  
Logical Data

The data-oriented paradigm has proven to be fundamental for the technological transformation process that characterizes Industry 4.0 (I4.0) so that big data and analytics is considered a technological pillar of this process. The goal of I4.0 is the implementation of the so-called Smart Factory, characterized by Intelligent Manufacturing Systems (IMS) that overcome traditional manufacturing systems in terms of efficiency, flexibility, level of integration, digitalization, and intelligence. The literature reports a series of system architecture proposals for IMS, which are primarily data driven. Many of these proposals treat data storage solutions as mere entities that support the architecture’s functionalities. However, choosing which logical data model to use can significantly affect the performance of the IMS. This work identifies the advantages and disadvantages of relational (SQL) and non-relational (NoSQL) data models for I4.0, considering the nature of the data in this process. The characterization of data in the context of I4.0 is based on the five dimensions of big data and a standardized format for representing information of assets in the virtual world, the Asset Administration Shell. This work allows identifying appropriate transactional properties and logical data models according to the volume, variety, velocity, veracity, and value of the data. In this way, it is possible to describe the suitability of relational and NoSQL databases for different scenarios within I4.0.

scholarly journals Automation technology as a key component of the Industry 4.0 production development path

2021 ◽  
Author(s):  
Christian Brecher ◽  
Aleksandra Müller ◽  
Yannick Dassen ◽  
Simon Storms
Keyword(s):  
Industry 4.0 ◽  
Information Technologies ◽  
Production Systems ◽  
Product Variety ◽  
Transformation Process ◽  
Smart Manufacturing ◽  
Production Development ◽  
Flexible Production Systems ◽  
Current Production ◽  
Automation Technology

AbstractSince 2011, the Industry 4.0 initiative is a key research and development direction towards flexible production systems in Germany. The objective of the initiative is to deal with the challenge of an increased production complexity caused by various factors such as increasing global competition between companies, product variety, and individualization to meet customer needs. For this, Industry 4.0 envisions an overarching connection of information technologies with the production process, enabling smart manufacturing. Bringing current production systems to this objective will be a long transformation process, which requires a coherent migration path. The aim of this paper is to represent an exemplary production development way towards Industry 4.0 using eminent formalization approaches and standardized automation technologies.

Wege in die Zukunft der Produktion/Pathways to the future of production - Holistic consideration of Employees as an enabler for the transformation to Industry 4.0

2017 ◽  
Vol 107 (04) ◽  
pp. 273-279
Author(s):  
T. Knothe ◽  
A. Ullrich ◽  
N. Weinert
Keyword(s):  
Industry 4.0 ◽  
Transformation Process ◽  
Use Cases ◽  
Iterative Approach ◽  
The Future ◽  
Early Phases ◽  
Factories Of The Future

Die Transformation in die „intelligente“ und vernetzte Fabrik der Zukunft folgt einem schrittweise iterativ ablaufenden Prozess. Besonderer Wert ist dabei auf die schnelle Realisierung von Prototypen und einzelnen Maßnahmen zu legen, um rasch Ergebnisse zu erzielen. Gefördert wird mit diesem Vorgehen nicht zuletzt auch das Verständnis und die Partizipationsbereitschaft der beteiligten Mitarbeiter, die somit früher in konkrete Entwicklungen eingebunden werden und diese mitgestalten können. Das Projekt „MetamoFAB“ hat Methoden sowie Hilfsmittel entwickelt, die beim Planen und Umsetzen der Transformation unterstützen. Diese wurden zudem exemplarisch in Fallbeispielen erprobt.   The transformation towards intelligent and interconnected Factories of the future follows a stepwise, iterative approach. For quickly achieving results, a fast realization of haptic prototypes is crucial. By this, not at least understanding and willingness for participation of involved employees is raised, including them early phases of the transformation. The project MetamoFAB has developed methods and tools supporting this transformation process during planning and implementation. The applicability has been demonstrated exemplarily in use cases.

scholarly journals Managing Robots in Healthcare

2020 ◽  
Author(s):  
Feride Eşkin Bacaksız ◽  
Metin Yılmaz ◽  
Kalbinur Ezizi ◽  
Handan Alan
Keyword(s):  
Industry 4.0 ◽  
Health Sector ◽  
Humanoid Robots ◽  
Ethical Problems ◽  
Industrial Evolution ◽  
Advantages And Disadvantages ◽  
Autonomous Decision ◽  
Current Usage ◽  
Moral Problems ◽  
Robot Cooperation

Industry 4.0, which is expressed with similar words such as Digital Transformation, Digitalizing Industry and Fourth Industrial Evolution, is developing a revolution in the fields of service by affecting the economy and all sectors of the world. As one of the most significant developments of Industry 4.0, human-robot cooperation is used in different business areas, but its use in the health sector is becoming more widespread. Robots, also referred to as iron-collar workers, are becoming more reliable in treatment and care by being equipped with advanced features and skills that people have, therefore their availability is increasing. On the other hand, the use of humanoid robots in nursing care will bring about ethical and moral problems such as employment of nurses, autonomous decision making of robots and being responsible for this. In this article, it was aimed to review the current usage and importance of robots in various sectors; especially in the health sector, the attitude of the employees in working with robot workers and robot managers, the potential advantages and disadvantages of the robots in the sector, and the introduction of current moral and ethical problems that may arise.

scholarly journals UNREGISTERED EMPLOYMENT IN THE LOCAL LABOUR MARKET: CASE STUDY OF PŁOCK

2021 ◽  
Vol 20 (1) ◽  
pp. 71-79
Author(s):  
Mariola Szewczyk-Jarocka ◽  
Janina Sawicka ◽  
Anna Nowacka
Keyword(s):  
Labour Market ◽  
Statistical Significance ◽  
Survey Question ◽  
Market Participants ◽  
Advantages And Disadvantages ◽  
Local Labour Market ◽  
Local Labour ◽  
Socially Excluded ◽  
Theoretical Issues

The aim of this study is to present the opinions of local labour market participants regarding unregistered work that is performed by socially excluded people who are registered in the Labour Office in the city of Płock, Poland. The paper begins with a literature review of the theoretical issues and presents conclusions based on published studies and articles. This is followed by an empirical data analysis where the authors diagnose the causes, important advantages and disadvantages of unregistered work. The data includes the results of surveys that were distributed to 350 respondents: 195 received PAPI paper questionnaires and 155 people were surveyed using a CAWI questionnaire posted on the Internet (additionally, a campaign on Facebook) in 2018. The analyses includes the distribution of answers to the survey question together with verification of the statistical significance between the answers and specific variables, such as education, sex and age group.

scholarly journals Pentingnya Membangun Platform Kolaborasi Multi-Stakeholder sebagai Key Enabling Factor dalam Membangun Ekosistem Inovasi Industri 4.0 di Era New Normal

2021 ◽  
Vol 6 (1) ◽  
pp. 67
Author(s):  
Satrio Utomo ◽  
Agus Nugroho Harjono
Keyword(s):  
Industry 4.0 ◽  
Industrial Development ◽  
Industrial Revolution ◽  
Transformation Process ◽  
Point Of View ◽  
Industrial Transformation ◽  
Program Manager ◽  
National Priority ◽  
Industry Policy ◽  
Multi Stakeholder

Industry 4.0 is an era of technological disruption or industrial revolution 4.0 because it puts more emphasis on system automation and connectivity which will make the mobility of the industrial world movement and  job competition non-linear . The use of digital technology is one of the keys. Industry opportunities for industrial development 4.0 are an effort to increase industrial competitiveness, but many industries do not yet understand the concept and how to start the stages. One of the ways proposed as a policy in preparing industry 4.0 should be taken a multi-stakeholder collaborative approach to facilitate development, including gathering digital transformation initiatives so that limited resources can be optimal. As a form of soft industry policy, a platform organization is also needed as a sustainable program manager and provides technical facilities. From a technical point of view, it is necessary to prepare enabling technology that can be utilized by all actors in the cross-sectoral digital economy in an affordable manner. The Ecosystem Platform becomes a medium to be able to build synergy and collaborative across industries with all stakeholders in an effort to accelerate the transformation of industry 4.0 according to the national priority program of Making Indonesia 4.0. In line with that, coordination was carried out between parties in the industrial transformation 4.0 process, as well as building networks to develop positive cooperation, including government, academics or R&D, industry players / associations, technical providers, consultants and of course financial actors in accelerating the industrial transformation process 4.0.

scholarly journals Qualification and Competence of Headmaster as A Supervisor According to Regulation of The Minister of National Education Number 13 of 2007 to Face Industry 4.0

2019 ◽  
Vol 3 ◽  
pp. 348-360
Author(s):  
Astuti Istikaroh
Keyword(s):  
Performance Evaluation ◽  
Learning Process ◽  
Industry 4.0 ◽  
School Principal ◽  
Social Competencies ◽  
National Education ◽  
Advantages And Disadvantages

The principal is the key person in achieving the school's vision, mission and goals. Based on Minister of National Education Regulation Number 13 of 2007 concerning Standards for Principals / Madrasas that the qualifications of principals / madrasas consist of general qualifications and special qualifications. In addition to having to meet the qualifications, a school principal must fulfill personal, managerial, entrepreneurial, supervision and social competencies. Supervision competence is the competence of principals who need to get serious attention including, 1) Planning academic supervision programs, 2) Carrying out academic supervision of teachers by using appropriate supervision approaches and techniques, 3) Following up on academic supervision results. The principal must prepare an academic supervision plan starting from the academic supervision schedule, the techniques to be used in academic supervision and the instruments that will be used in implementing academic supervision. The implementation of supervision can be in the form of performance evaluation by checking various administrative features that have been prepared by the teachers and conducting class visits to observe the course of the learning process. Follow-up results of the implementation of academic supervision carried out by the principal are done through the delivery of the results of the implementation of supervision both related to the advantages and disadvantages.

Industry 4.0 From a Management Perspective

2022 ◽  
pp. 1-18
Author(s):  
Ilknur Taştan Boz ◽  
Özden Ibrahimağaoğlu
Keyword(s):  
Industry 4.0 ◽  
Business Models ◽  
Business Processes ◽  
Industrial Revolution ◽  
Organizational Structures ◽  
Transformation Process ◽  
Management Perspective ◽  
Fundamental Transformation ◽  
Transformation Processes ◽  
The Internet Of Things

Industries have undergone three fundamental transformation processes that were revolutionary. Following these processes, industries have been confronted with the phenomenon of Industry 4.0, known as the 4th Industrial Revolution, that is acknowledged as a new transformation process. The basic dynamics of this phenomenon include smart robots, simulation, the internet of things, cloud, additive manufacturing, and big data. It is of utmost importance for businesses that are involved in this process, that are new and trying to adapt to the process, to be prepared and adapt to the effects of Industry 4.0 dynamics. These dynamics lead to significant developments in business models, business processes, organizational structures, employees, and human resource processes. When Industry 4.0 and its dynamics are evaluated in general, businesses that follow the process and make necessary managerial adjustments will be ahead of the competition.

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