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<p>Preface: Connected Innovation, the Heart of Industry X.0 xiii<br /><i>Farouk YALAOUI, Nhan-Quy NGUYEN, Yassine OUAZENE, Maria ZEMZAMI and Leïla MERGHEM-BOULAHIA</i></p> <p><b>Part 1. Innovations in Production and Smart Supply Chain Management 1</b></p> <p><b>Chapter 1. Supply Chain Views from an Industry 4.0 Perspective 3</b><br /><i>Ghita BOUCHTAOUI, Lamia HAMMADI, Ridha DERROUICHE, Roberta COSTA-AFFONSO and Abdessamad EL BALLOUTI</i></p> <p>1.1. Introduction 3</p> <p>1.2. Smart supply chain 4</p> <p>1.3. The essential technologies for the development of the smart supply chain 6</p> <p>1.4. Methodology 8</p> <p>1.6. Discussion 14</p> <p>1.7. Conclusion 15</p> <p>1.8. References 15</p> <p><b>Chapter 2. A Bibliometric Analysis of the Integration of Lean and Industry 4.0 in the Sustainable Supply Chain 19</b><br /><i>Assiya ZAHID, Lamia HAMMADI, Patrice LECLAIRE, Roberta COSTA-AFFONSO and Abdessamad EL BALLOUTI</i></p> <p>2.1. Introduction 19</p> <p>2.2. Theoretical background 21</p> <p>2.3. Research methodology 25</p> <p>2.4. Results and discussion 27</p> <p>2.5. Conclusion 31</p> <p>2.6. References 31</p> <p><b>Chapter 3. Integrated Strategy for Condition-Based Maintenance, Production and Quality Control in Manufacturing Systems 35</b><br /><i>Dorsaf DALDOUL and Nadia BAHRIA</i></p> <p>3.1. Introduction 35</p> <p>3.2. Literature review 36</p> <p>3.3. Integrated strategy, working hypotheses and notations 38</p> <p>3.4. Mathematical model 44</p> <p>3.5. Numerical example 50</p> <p>3.6. Conclusion 50</p> <p>3.7. References 51</p> <p><b>Chapter 4. Optimizing Energy Efficiency in a Two-Level Supply Chain Model with Shortage Consideration 53</b><br /><i>Hong-Nguyen NGUYEN, Matthieu GODICHAUD and Lionel AMODEO</i></p> <p>4.1. Introduction and literature review 53</p> <p>4.2. Problem description and mathematical modeling 56</p> <p>4.3. Resolution 58</p> <p>4.4. Numerical analysis 61</p> <p>4.5. Conclusion 63</p> <p>4.6. References 63</p> <p><b>Chapter 5. Advanced Planning and Scheduling in Off-Site Construction 67</b><br /><i>Amin CHAABANE, Nadia BAHRIA and Salim HEDFI</i></p> <p>5.1. Introduction 67</p> <p>5.2. Literature review 68</p> <p>5.3. Problem description 71</p> <p>5.4. Mathematical model 74</p> <p>5.5. Experimentations 78</p> <p>5.6. Conclusion 81</p> <p>5.7. References 82</p> <p><b>Part 2. Performance Evaluation and Optimization for Industry X.0 85</b></p> <p><b>Chapter 6. Performance Evaluation of Networking Protocols for Industrial Internet of Things 87</b><br /><i>Samira CHOUIKHI, Leïla MERGHEM-BOULAHIA, Moez ESSGHIR and Nur BINTI RAHMAT</i></p> <p>6.1. Introduction 88</p> <p>6.2. Quality of service and protocols for IIoT applications 90</p> <p>6.3. Experiments and performance evaluation 95</p> <p>6.4. Conclusion 101</p> <p>6.5. Acknowledgments 101</p> <p>6.6. References 101</p> <p><b>Chapter 7. Navigating Toward Enhanced Security and Resilience in 5G and 6G Network Architectures 103</b><br /><i>Atiq AHMED, Ihsan ULLAH, Leïla MERGHEM-BOULAHIA, Dominique GAITI and Guy PUJOLLE</i></p> <p>7.1. Introduction 103</p> <p>7.2. Authentication and key agreement in NGN 105</p> <p>7.3. Terminal equipment security in NGN 111</p> <p>7.4. Virtual environment security in NGN 114</p> <p>7.5. Digital forensics operations in NGN 115</p> <p>7.6. Conclusion 117</p> <p>7.7. References 118</p> <p><b>Chapter 8. New Technique for Selecting Key Metaheuristic Parameters: Case Study on the SAR Metaheuristic Algorithm 121</b><br /><i>Hakima REDDAD, Maria ZEMZAMI, Nhan-Quy NGUYEN, Norelislam EL HAMI and Nabil HMINA</i></p> <p>8.1. Introduction 121</p> <p>8.2. Literature review and contribution 123</p> <p>8.3. Identifying SAR key parameters approach 127</p> <p>8.4. Conclusion and perspectives 135</p> <p>8.5. References 135</p> <p><b>Chapter 9. Precedence-Based and Time-Indexed Formulations for the Flexible Job Shop Scheduling with Machine Availability Constraints 141</b><br /><i>Tom PERROUX, Taha ARBAOUI and Leïla MERGHEM-BOULAHIA</i></p> <p>9.1. Introduction 141</p> <p>9.2. Problem definition 143</p> <p>9.3. Mathematical models 143</p> <p>9.4. Computational results 147</p> <p>9.5. Conclusion 150</p> <p>9.6. References 151</p> <p><b>Chapter 10. Multi-Criteria Approach Using Discrete Event Simulation to Balance Staff Workload and Reduce Patient Wait Time: An Emergency Department Case Study 153</b><br /><i>Dorsaf DALDOUL</i></p> <p>10.1. Introduction 153</p> <p>10.2. Case study 158</p> <p>10.3. Simulation approach 160</p> <p>10.4. Numerical results 163</p> <p>10.5. Conclusion 166</p> <p>10.6. References 166</p> <p>Part 3. Sustainable and Efficient Solutions Design 169</p> <p><b>Chapter 11. Automatic Weed Detection Using YOLOv5 Object Detector 171</b><br /><i>Mohammed HABIB, Salma SEKHRA, Adil TANNOUCHE and Youssef OUNEJJAR</i></p> <p>11.1. Introduction 171</p> <p>11.2. Materials and methods 173</p> <p>11.3. Results and discussion 179</p> <p>11.4. Conclusion and future work 185</p> <p>11.5. References 186</p> <p><b>Chapter 12. Energy Management of Smart Buildings in the Era of Connected Innovation and Technology 189</b><br /><i>Lotfi DERRADJI, Chaima MAGRAOUI, Amel LIMAM, Abdelouahab BOUTTOUT and Abdelatif MERABTINE</i></p> <p>12.1. Introduction 189</p> <p>12.2. Presentation of the case study 191</p> <p>12.3. Materials and methods 192</p> <p>12.4. Results and discussion 196</p> <p>12.5. Conclusion 200</p> <p>12.6. References 202</p> <p><b>Chapter 13. The Relevance of Frugal Innovation for Sustainability: The Case of Developing a Solution for Water Scarcity 205</b><br /><i>Luis Miguel LÓPEZ SANTIAGO</i></p> <p>13.1. Introduction 205</p> <p>13.2. Prior research 206</p> <p>13.3. Research methodology 210</p> <p>13.4. Findings 211</p> <p>13.5. Discussion and contributions 214</p> <p>13.6. Conclusion and perspectives 216</p> <p>13.7. Acknowledgments 216</p> <p>13.8. References 216</p> <p><b>Chapter 14. Finite Element Analysis of the Tensile Stiffness of Additive Manufactured Triply Periodic Minimal Surface Lattices 221</b><br /><i>Mohamed ABOUELMAJD, Issam EL KHADIRI, Ismail EZZARAA, Maria ZEMZAMI, Ismail ARROUB, Manuel LAGACHE, Ahmed BAHLAOUI, Nabil HMINA and Soufiane BELHOUIDEG</i></p> <p>14.1. Introduction 221</p> <p>14.2. Design and finite element modeling 224</p> <p>14.3. Results and discussion 227</p> <p>14.4. Conclusion and perspectives 231</p> <p>14.5. References 232</p> <p><b>Chapter 15. Enhancing Heat Dissipation Using Optimized TPMS Designs in Additive Manufacturing 235</b><br /><i>Issam EL KHADIRI, Mohamed ABOUELMAJD, Maria ZEMZAMI, Manuel LAGACHE, Nabil HMINA and Soufiane BELHOUIDEG</i></p> <p>15.1. Introduction 235</p> <p>15.2. Methodology 237</p> <p>15.3. Results and discussion 242</p> <p>15.4. Conclusion 248</p> <p>15.5. References 249</p> <p>List of Authors 253</p> <p>Index 259</p>

<p><b>Farouk Yalaoui</b> is Full Professor at UTT, France. He specializes in optimization and industrial engineering, and is a founding member of the Algerian Academy of Sciences and Technologies.</p> <p><b>Nhan-Quy Nguyen</b> is a researcher at UTT, France. He specializes in optimizing complex systems, with applications in logistics, healthcare and energy management.</p> <p><b>Yassine Ouazene</b> is Associate Professor at UTT, France. He specializes in combinatorial optimization and operations research, and his research focuses on production systems, manufacturing design and smart pricing.</p> <p><b>Maria Zemzami</b> is Professor at Université Mohammed V, Morocco. She specializes in software engineering, cloud computing and network security, and her research focuses on information system interoperability and optimization algorithms.</p> <p><b>Leïla Merghem-Boulahia</b> is Full Professor at UTT, France, and the head of the ISIFT. Her main research interests include multi-agent systems, quality of service, smart grids, the IoT and the IIoT.</p>

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