Connected Innovation and Technology X. 0 1 : Advancing Digital Transformation: Innovational Strategies for Smart Industry and Sustainable Innovation.

Format:

Book

Author/Creator:

Yalaoui, Farouk.

Contributor:

Nguyen, Nhan-Quy.

Ouazene, Yassine.

Zemzami, Maria.

Merghem-Boulahia, Leïla.

Series:

ISTE Invoiced Series

Language:

English

Subjects (All):

Technological innovations--Management.

Technological innovations.

Physical Description:

1 online resource (293 pages)

Edition:

1st ed.

Place of Publication:

Newark : John Wiley & Sons, Incorporated, 2024.

Summary:

This book explores advanced digital innovation strategies within the context of Industry 4.0 and sustainable innovation. It is edited by experts including Farouk Yalaoui, Nhan-Quy Nguyen, Yassine Ouazene, and Maria Zemzami. The book delves into topics such as smart supply chain management, the integration of Lean and Industry 4.0 technologies, and strategies for optimizing energy efficiency in supply chains. Aimed at professionals and researchers in industrial engineering and technology management, it provides a comprehensive examination of the methodologies and technologies transforming modern industry. The authors aim to equip readers with insights into the essential technologies driving smart industry and sustainable practices. Generated by AI.

Contents:

Cover

Title Page

Copyright Page

Contents

Preface: Connected Innovation, the Heart of Industry X.0

Part 1. Innovations in Production and Smart Supply Chain Management

Chapter 1. Supply Chain Views from an Industry 4.0 Perspective

1.1. Introduction

1.2. Smart supply chain

1.2.1. Definition

1.2.2. Characteristics of smart supply chain

1.3. The essential technologies for the development of the smart supply chain

1.3.1. Internet of Things

1.3.2. Big Data

1.3.3. Blockchain

1.4. Methodology

1.4.1. Systematic literature review

1.5. Analysis and synthesis

1.5.1. Frequency analysis

1.5.2. Emerging technologies

1.6. Discussion

1.7. Conclusion

1.8. References

Chapter 2. A Bibliometric Analysis of the Integration of Lean and Industry 4.0 in the Sustainable Supply Chain

2.1. Introduction

2.2. Theoretical background

2.2.1. LM tools

2.2.2. I4.0 technologies

2.2.3. Linking LM, I4.0 and sustainability: sustainable Lean 4.0

2.3. Research methodology

2.3.1. Search strategy

2.4. Results and discussion

2.4.1. Publication by year

2.4.2. Publication by country

2.4.3. Publication by source

2.4.4. Publication by authors

2.4.5. Keywords analysis

2.5. Conclusion

2.6. References

Chapter 3. Integrated Strategy for Condition-Based Maintenance, Production and Quality Control in Manufacturing Systems

3.1. Introduction

3.2. Literature review

3.3. Integrated strategy, working hypotheses and notations

3.3.1. Integrated strategy

3.3.2. Assumptions

3.3.3. Notations

3.4. Mathematical model

3.4.1. Average restoration cycle time

3.4.2. Probabilities of the three scenarios

3.4.3. Average inventory cost

3.4.4. Average total maintenance costs

3.4.5. Average total cost of quality

3.4.6. Average total cost per time unit.

3.5. Numerical example

3.6. Conclusion

3.7. References

Chapter 4. Optimizing Energy Efficiency in a Two-Level Supply Chain Model with Shortage Consideration

4.1. Introduction and literature review

4.2. Problem description and mathematical modeling

4.3. Resolution

4.4. Numerical analysis

4.5. Conclusion

4.6. References

Chapter 5. Advanced Planning and Scheduling in Off-Site Construction

5.1. Introduction

5.2. Literature review

5.3. Problem description

5.3.1. Simplified architecture

5.3.2. Presentation of the basic element used in the architecture

5.3.3. Simplified architecture nomenclature

5.3.4. Description of transition matrix columns and lines

5.4. Mathematical model

5.4.1. Sets

5.4.2. Parameters

5.4.3. Decision variables

5.4.4. Objective function

5.4.5. Model constraints

5.5. Experimentations

5.5.1. Input data

5.5.2. Results and interpretation

5.6. Conclusion

5.7. References

Part 2. Performance Evaluation and Optimization for Industry X.0

Chapter 6. Performance Evaluation of Networking Protocols for Industrial Internet of Things

6.1. Introduction

6.2. Quality of service and protocols for IIoT applications

6.2.1. IIoT applications' QoS requirements

6.2.2. An overview of some networking protocols

6.3. Experiments and performance evaluation

6.3.1. Experiment environment

6.3.2. Implementation scenarios

6.4. Conclusion

6.5. Acknowledgments

6.6. References

Chapter 7. Navigating Toward Enhanced Security and Resilience in 5G and 6G Network Architectures

7.1. Introduction

7.2. Authentication and key agreement in NGN

7.2.1. Authentication mechanism

7.2.2. Key-agreement mechanism

7.2.3. Leveraging blockchain in NGN

7.3. Terminal equipment security in NGN

7.3.1. Capillary network of connectivity.

7.3.2. Significance of terminal equipment security

7.4. Virtual environment security in NGN

7.5. Digital forensics operations in NGN

7.6. Conclusion

7.7. References

Chapter 8. New Technique for Selecting Key Metaheuristic Parameters: Case Study on the SAR Metaheuristic Algorithm

8.1. Introduction

8.2. Literature review and contribution

8.2.1. Common techniques used for fine-tuning algorithms

8.2.2. State of the art of the search and rescue algorithm (SAR)

8.2.3. Key performance indicators

8.3. Identifying SAR key parameters approach

8.3.1. Results and discussion

8.4. Conclusion and perspectives

8.5. References

Chapter 9. Precedence-Based and Time-Indexed Formulations for the Flexible Job Shop Scheduling with Machine Availability Constraints

9.1. Introduction

9.2. Problem definition

9.3. Mathematical models

9.3.1. Precedence variable-based model (M1)

9.3.2. Time-indexed model (M2)

9.4. Computational results

9.4.1. Instance generation

9.4.2. Results comparison

9.5. Conclusion

9.6. References

Chapter 10. Multi-Criteria Approach Using Discrete Event Simulation to Balance Staff Workload and Reduce Patient Wait Time: An Emergency Department Case Study

10.1. Introduction

10.1.1. Mathematical modeling

10.1.2. Simulation approaches

10.1.3. Contributions

10.2. Case study

10.2.1. System description

10.2.2. Patient flow process

10.3. Simulation approach

10.3.1. Data approximation

10.3.2. Discrete-event simulation model

10.4. Numerical results

10.5. Conclusion

10.6. References

Part 3. Sustainable and Efficient Solutions Design

Chapter 11. Automatic Weed Detection Using YOLOv5 Object Detector

11.1. Introduction

11.2. Materials and methods

11.2.1. YOLOv5

11.2.2. Dataset acquisition

11.2.3. Software

11.3. Results and discussion.

11.3.1. Labels correlogram

11.3.2. The hyperparameters

11.3.3. YOLOv5 models training

11.3.4. YOLOv5 models evaluation

11.3.5. Discussion

11.4. Conclusion and future work

11.5. References

Chapter 12. Energy Management of Smart Buildings in the Era of Connected Innovation and Technology

12.1. Introduction

12.2. Presentation of the case study

12.3. Materials and methods

12.3.1. Experimental study

12.3.2. Simulation

12.4. Results and discussion

12.4.1. Experimental results

12.4.2. Simulation results

12.5. Conclusion

12.6. References

Chapter 13. The Relevance of Frugal Innovation for Sustainability: The Case of Developing a Solution for Water Scarcity

13.1. Introduction

13.2. Prior research

13.2.1. Addressing water scarcity in BoP contexts

13.2.2. FI, core characteristics for BoP contexts

13.3. Research methodology

13.3.1. Research setting and case selection

13.3.2. Data collection and analysis

13.4. Findings

13.4.1. Description of the ceramic filter system

13.4.2. The ceramic filter and the criteria of FI

13.5. Discussion and contributions

13.5.1. Limitations

13.6. Conclusion and perspectives

13.7. Acknowledgments

13.8. References

Chapter 14. Finite Element Analysis of the Tensile Stiffness of Additive Manufactured Triply Periodic Minimal Surface Lattices

14.1. Introduction

14.2. Design and finite element modeling

14.2.1. Design of TPMS unit cell topologies

14.2.2. Finite element modeling of tensile loading regime

14.2.3. Validation of the FEA model

14.3. Results and discussion

14.3.1. Elastic behavior of sheet TPMS unit cell topologies

14.3.2. Local stress distributions

14.3.3. Prediction of elastic modulus using the Gibson-Ashby model

14.4. Conclusion and perspectives

14.5. References.

Chapter 15. Enhancing Heat Dissipation Using Optimized TPMS Designs in Additive Manufacturing

15.1. Introduction

15.2. Methodology

15.2.1. Creation of TPMS lattice database

15.2.2. Topology optimization of multi-TPMS lattices

15.3. Results and discussion

15.3.1. TPMS lattice cell database

15.3.2. Thermal optimization

15.3.3. Mapping of optimized topology

15.3.4. Efficiency and conductive behavior of optimized heat sinks

15.4. Conclusion

15.5. References

List of Authors

Index

Other titles from ISTE in Systems and Industrial Engineering - Robotics

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Notes:

Description based on publisher supplied metadata and other sources.

Part of the metadata in this record was created by AI, based on the text of the resource.

ISBN:

9781394306442

139430644X

9781394306428

1394306423

OCLC:

1444153550