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Agrawal / Davim / Varela

Industry 4.0 and Climate Change

Medium: Buch
ISBN: 978-1-032-27631-1
Verlag: CRC Press
Erscheinungstermin: 17.10.2022
Lieferfrist: bis zu 10 Tage
At present, both Industry 4.0 and industrial engineering management developments are reshaping the industrial sector worldwide. Industry 4.0 and sustainability are considered as the crucial emerging trends in industrial production systems. The resulting transformations are changing production modes from traditional to digital, intelligent, and decentralized. It is expected that Industry 4.0 will help drive sustainability in industries thanks to the implementation of advanced technology and a move towards social sustainability.

This book reflects on the consequences of the transition to Industry 4.0 for climate change. The book presents a systemic overview of the current negative impacts of digitization on the environment and showcases a new outline of the energy domain and expected changes in environmental pollution levels under Industry 4.0. It also analyzes the ecological consequences of the growth and development of Industry 4.0 and considers Industry 4.0 as an alternative to fighting climate change, in the sense of shifting the global community’s attention from environmental protection to consolidation of the digital economy. This book will be of interest to academicians and practitioners in the fields of climate change and development of Industry 4.0, and it will contribute to national economic policies for fighting climate change and corporate strategies of sustainable development under Industry 4.0.

Produkteigenschaften


  • Artikelnummer: 9781032276311
  • Medium: Buch
  • ISBN: 978-1-032-27631-1
  • Verlag: CRC Press
  • Erscheinungstermin: 17.10.2022
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2022
  • Serie: Science, Technology, and Management
  • Produktform: Gebunden
  • Gewicht: 676 g
  • Seiten: 296
  • Format (B x H x T): 170 x 244 x 18 mm
  • Ausgabetyp: Kein, Unbekannt

Autoren/Hrsg.

Herausgeber

Agrawal, Rajeev

Davim, J Paulo

Varela, Maria L R

Sharma, Monica

1 Optimization of milling machine parameters by using Artificial Neural Network model; 2 Facility layout optimization: Continuous improvement; 3 Multi-criteria decision analysis applications and trends in manufacturing domain; 4 To implement Six Sigma to minimize defects in the manufacturing of draft gear of railway wagon; 5 Changeover time reduction through SMED approach: Case study of an Indian steel processing centre; 6 SWOT analysis – on maintenance frameworks for SMEs; 7 Development of maintenance framework for SMEs by an ISM approach; 8 Multi-objective parametric optimization of wire electric discharge machining for Die Hard Steels using supervised machine learning techniques; 9 Investigation of dragline productivity; 10 Lean administration in the Order-to-Cash process; 11 Modelling and analysis of Lean Six Sigma framework along with its environmental impact on the business process: A review; 12 Optimum order allocation in a multi-supplier environment using linear programming model: Case study on heavy industry in India; 13 Formulation of an optimal ordering policy with quadratic demand: Weibull distribution deterioration and partial backlogging; 14 An optimal replenishment policy with exponential declining demand: Weibull distribution deterioration and partial backlogging; 15 Smart materials advancements, applications and challenges in the shift to Industry 4.0; 16 Virtual Try On: A study on the changing dimensions of jewellery retailing through augmented reality; 17 Analysis of the barriers of blockchain adoption in Land Record System; 18 The concept of Industry 4.0: Role of ergonomics and Human Factors; 19 Carbon Nanotubes as an advanced coating material for cutting tool in sustainable production in Industry 4.0; 20 Integrating AI with Green Manufacturing for process industry; 21 Sustainable recycling methods for different types of eco-friendly cutting fluids and their characteristics: An impetus for circular economy; 22 Sustainable automobiles: Major obstacles on the path of electrifying mobility in India, existing barriers and challenges; 23 Development of heuristic DSS for supply chain architecture