Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Connected Innovation and Technology X. 0 1 : Advancing Digital Transformation: Innovational Strategies for Smart Industry and Sustainable Innovation
| Connected Innovation and Technology X. 0 1 : Advancing Digital Transformation: Innovational Strategies for Smart Industry and Sustainable Innovation |
| Autore | Yalaoui Farouk |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2024 |
| Descrizione fisica | 1 online resource (293 pages) |
| Disciplina | 658.4/063 |
| Altri autori (Persone) |
NguyenNhan-Quy
OuazeneYassine ZemzamiMaria Merghem-BoulahiaLeïla |
| Collana | ISTE Invoiced Series |
| Soggetto topico | Technological innovations - Management |
| ISBN |
9781394306442
139430644X 9781394306428 1394306423 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
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 -- EULA. |
| Record Nr. | UNINA-9911019456403321 |
Yalaoui Farouk
|
||
| Newark : , : John Wiley & Sons, Incorporated, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Planning and Scheduling Optimization
| Planning and Scheduling Optimization |
| Autore | Yalaoui Farouk |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (344 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
benchmark
Box-Behnken design (BBD) building material distributors central composite design (CCD) competitive hub location problem crow search customer service level cyber-physical production systems differential evolution algorithm discounted cash flow maximization distribution centers energy flexible job shop problem food systems forecasting genetic algorithm Hadi-Vencheh model heuristic hospital catering identical parallel machines incomplete networks injection molding intelligent manufacturing systems intermodal transportation inventory management iterated local search algorithm local search method logistic systems maintenance scheduling manufacturing scheduling mathematical model mathematical programming maximum completion time metaheuristics milestones payments minimum completion time mixed integer program mixed integer programming multi-criteria optimization multiple criteria ABC inventory classification multiple flexible job shop scheduling n/a network design non-linear programming nonlinear weighted product model normalized sum of square for workload deviations oil and gas supply chain operation planning operation sequencing optimal cost order picking order planning particle swarm optimization algorithm planning postman delivery precedence constraints priority rules process planning product family production control production scheduling resource-constrained project scheduling problem rural development scheduling scheduling requirements simulated annealing simulated annealing algorithm simulation optimization SKU slotting smart health care systems smart manufacturing stackability storage strategies supply chain optimization terminal location vehicle routing problem warehouses wave planning workload balancing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557899003321 |
|
Yalaoui Farouk
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||