LEADER 09483nam 22004933 450 001 9910876704103321 005 20240707090305.0 010 $a1-394-30644-X 010 $a1-394-30642-3 035 $a(MiAaPQ)EBC31518225 035 $a(Au-PeEL)EBL31518225 035 $a(CKB)32650240500041 035 $a(EXLCZ)9932650240500041 100 $a20240707d2024 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aConnected Innovation and Technology X. 0 1 $eAdvancing Digital Transformation: Innovational Strategies for Smart Industry and Sustainable Innovation 205 $a1st ed. 210 1$aNewark :$cJohn Wiley & Sons, Incorporated,$d2024. 210 4$d©2024. 215 $a1 online resource (293 pages) 225 1 $aISTE Invoiced Series 311 $a1-78630-934-3 327 $aCover -- 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. 327 $a3.5. 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. 327 $a7.3.2. 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. 327 $a11.3.1. 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. 327 $aChapter 15. Enhancing Heat Dissipation Using Optimized TPMS Designs in Additive Manufacturing -- 15.1. Introduction -- 15.2. Methodology -- 15.2.1. Creation of TPMS lattice database -- 15.2.2. Topology optimization of multi-TPMS lattices -- 15.3. Results and discussion -- 15.3.1. TPMS lattice cell database -- 15.3.2. Thermal optimization -- 15.3.3. Mapping of optimized topology -- 15.3.4. Efficiency and conductive behavior of optimized heat sinks -- 15.4. Conclusion -- 15.5. References -- List of Authors -- Index -- Other titles from ISTE in Systems and Industrial Engineering - Robotics -- EULA. 410 0$aISTE Invoiced Series 700 $aYalaoui$b Farouk$01332375 701 $aNguyen$b Nhan-Quy$01752134 701 $aOuazene$b Yassine$01752135 701 $aZemzami$b Maria$01752136 701 $aMerghem-Boulahia$b Leïla$01752137 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910876704103321 996 $aConnected Innovation and Technology X. 0 1$94187357 997 $aUNINA