Production and industrial engineering Books

Book SynopsisModern engineering systems are complex and multi-faceted, and must be flexible, adaptable, and fully integrated with the supply chain and other stakeholders to deliver an effective level of performance. Therefore, this book aims to create an operational view and new understanding of modern system design, commissioning, operation, services and support. It includes system of systems modelling and analysis techniques essential to develop whole of system in view of essential requirements. This book will address professional engineers/operations managers required to design, develop, implement and operate a complex socio-technical system containing many engineering systems.Key Features Develops a holistic view of system of systems from all possible fields of interest Introduces the idea of system configurability to understand system of systems in parallel with the typical, classical concepts of engineering systems design Offers effective coverage of bothTable of ContentsPart 1 Systems Thinking. 1. Foundation of Systems Thinking. 2. Defining System Architecture. 3. System of Systems Framework and Environment. 4. Modeling of Socio-Technical Systems. Part 2 Network-Centric Operations and Matters of Context. 5. Infrastructure Network Applications. 6. Network-Centric Operations. .7. Social Networks and Creative Collaboration. 8. IT Infrastructure and the Internet of Things. 9. Governance. Part 3 Organizing in Business Networks. 10. Virtual Enterprise Collaboration Concepts. 11. Markets and Service Ecosystems. 12. Business Models Making Operational Sense. 13. Innovation in Ecosystems. Part 4 System Operation and Configuration Management.14. Capability and Performance Assessment. 15. Managing System Models.

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Book SynopsisMetal cutting is widely used in producing manufactured products. The technology has advanced considerably along with new materials, computers and sensors. This new edition considers the scientific principles of metal cutting and their practical application to manufacturing problems. It begins with metal cutting mechanics, principles of vibration and experimental modal analysis applied to solving shop floor problems. There is in-depth coverage of chatter vibrations, a problem experienced daily by manufacturing engineers. Programming, design and automation of CNC (computer numerical control) machine tools, NC (numerical control) programming and CAD/CAM technology are discussed. The text also covers the selection of drive actuators, feedback sensors, modelling and control of feed drives, the design of real time trajectory generation and interpolation algorithms and CNC-oriented error analysis in detail. Each chapter includes examples drawn from industry, design projects and homework problTrade Review'… [this] book has the advantage of involving a quantitative coverage of the topics, something lacking in other similar books. The language is simple and clear, and so are the illustrations … certainly a good addition to the manufacturing engineering library.' Choice'… well written, and the sequence of subjects is perfect … This reviewer recommends [this book] as a textbook for students, undergraduate as well as graduate. It can also serve as an excellent reference book for those engaged in manufacturing, [for example] engineer[s], technicians and other practitioners.' Applied Mechanics ReviewsTable of Contents1. Introduction; 2. Mechanics of metal cutting; 3. Structural dynamics of machines; 4. Machine tool vibrations; 5. Technology of manufacturing automation; 6. Design and analysis of CNC systems; 7. Sensor-assisted machining; Appendices: A. LaPlace and z transforms; B. Off-line and on-line parameter estimation with Least squares.

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Book SynopsisThis new book helps the engineer understand the principles of metal forming and analyze forming problems - both the mechanics of forming processes and how the properties of metals affect the processes. Interesting end-of-chapter notes have been added throughout, as well as references. More than 200 end-of-chapter problems are also included.Trade Review"very good coverage of the principles of mechanical metallurgy...Recommended." - CHOICETable of Contents1. Stress and strain; 2. Plasticity; 3. Strain hardening; 4. Plastic instability; 5. Temperature and strain-rate dependence; 6. Work balance; 7. Slab analysis and friction; 8. Friction and lubrication; 9. Upper-bound analysis; 10. Slip-line field analysis; 11. Deformation zone geometry; 12. Formability; 13. Bending; 14. Plastic anisotropy; 15. Cupping, redrawing and ironing; 16. Forming limit diagrams; 17. Stamping; 18. Hydroforming; 19. Other sheet forming operations; 20. Formability tests; 21. Sheet metal properties.

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Book SynopsisThis textbook is designed for undergraduate and graduate students and practitioners interested in learning optimization. The presentation is enriched with a robust set of real-world examples and practical exercises. Using MATLAB software is encouraged throughout. The instructor is supported by a complete solutions manual and PowerPoint slides with animations.Table of ContentsPart I. Helpful Preliminaries: 1. MATLAB® as a computational tool; 2. Mathematical preliminaries; Part II. Using Optimization – the Road Map: 3. Welcome to the fascinating world of optimization; 4. Analysis, design, optimization, and modeling; 5. Introducing linear and nonlinear programming; Part III. Using Optimization – Practical Essentials: 6. Multiobjective optimization; 7. Numerical essentials; 8. Global optimization basics; 9. Discrete optimization basics; 10. Practicing optimization – larger examples; Part IV. Going Deeper: Inside the Codes and Theoretical Aspects: 11. Linear programming; 12. Nonlinear programming with no constraints; 13. Nonlinear programming with constraints; Part V. More Advanced Topics in Optimization: 14. Discrete optimization; 15. Modeling complex systems: surrogate modeling and design space reduction; 16. Design optimization under uncertainty; 17. Methods for Pareto frontier generation/representation; 18. Physical programming for multiobjective optimization; 19. Evolutionary algorithms.

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Book SynopsisThis book helps the engineer understand the principles of metal forming and analyze forming problems - both the mechanics of forming processes and how the properties of metals interact with the processes. In this fourth edition, an entire chapter has been devoted to forming limit diagrams and various aspects of stamping and another on other sheet forming operations. Sheet testing is covered in a separate chapter. Coverage of sheet metal properties has been expanded. Interesting end-of-chapter notes have been added throughout, as well as references. More than 200 end-of-chapter problems are also included.Trade Review"very good coverage of the principles of mechanical metallurgy...Recommended." - CHOICETable of Contents1. Stress and strain; 2. Plasticity; 3. Strain hardening; 4. Plastic instability; 5. Temperature and strain-rate dependence; 6. Work balance; 7. Slab analysis and friction; 8. Friction and lubrication; 9. Upper-bound analysis; 10. Slip-line field analysis; 11. Deformation zone geometry; 12. Formability; 13. Bending; 14. Plastic anisotropy; 15. Cupping, redrawing and ironing; 16. Forming limit diagrams; 17. Stamping; 18. Hydroforming; 19. Other sheet forming operations; 20. Formability tests; 21. Sheet metal properties.

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Book Synopsis******Recently Published!******Unit Operations of Chemical Engineering, 7th edition continues its lengthy, successful tradition of being one of McGraw-Hill's oldest texts in the Chemical Engineering Series. Since 1956, this text has been the most comprehensive of the introductory, undergraduate, chemical engineering titles available. Separate chapters are devoted to each of the principle unit operations, grouped into four sections: fluid mechanics, heat transfer, mass transfer and equilibrium stages, and operations involving particulate solids.Now in its seventh edition, the text still contains its balanced treatment of theory and engineering practice, with many practical, illustrative examples included. Almost 30% of the problems have been revised or are new, some of which cover modern topics such as food processing and biotechnology. Other unique topics of this text include diafiltration, adsorption and membrane operations.Table of ContentsSection 1 Introduction1 Definitions and PrinciplesSection 2 Fluid Mechanics2 Fluid Statics and Its Applications3 Fluid Flow Phenomena4 Basic Equations of Fluid Flow5 Incompressible Flow in Pipes and Channels6 Flow of Compressible Fluids7 Flow past Immersed Objects8 Transportation and Metering of Fluids9 Agitation and Mixing of LiquidsSection 3 Heat Transfer and Its Applications10 Heat Transfer by Conduction11 Principles of Heat Flow in Fluids12 Heat Transfer to Fluids without Phase Change13 Heat Transfer to Fluids with Phase Change14 Radiation Heat Transfer15 Heat-Exchange Equipment16 EvaporationSection 4 Mass Transfer and Its Applications17 Principles of Diffusion and Mass Transfer between Phases18 Gas Absorption19 Humidification Operations20 Equilibrium-Stage Operations21 Distillation22 Introduction to Multicomponent Distillation23 Leaching and Extraction24 Drying of Solids25 Fixed-Bed Separatons26 Membrane Separation Processes27 CrystallizationSection 5 Operations Involving Particulate Solids28 Properties and Handling of Particulate Solids29 Mechanical SeparationsAppendix 1 Conversion Factors and Constants of NatureAppendix 2 Dimensionless GroupsAppendix 3 Dimensions, Capacities, and Weights of Standard Steel PipeAppendix 4 Condenser and Heat-Exchanger Tube DataAppendix 5 Tyler Standard Screen ScaleAppendix 6 Properties of Liquid WaterAppendix 7 Properties of Saturated Steam and WaterAppendix 8 Viscosities of GasesAppendix 9 Viscosities of LiquidsAppendix 10 Thermal Conductivities of MetalsAppendix 11 Thermal Conductivities of Various Solids and Insulating MaterialsAppendix 12 Thermal Conductivities of Gases and VaporsAppendix 13 Thermal Conductivities of Liquids Other Than WaterAppendix 14 Specific Heats of GasesAppendix 15 Specific Heats of LiquidsAppendix 16 Prandtl Numbers for Gases at 1 atm and 100CAppendix 17 Prandtl Numbers for LiquidsAppendix 18 Diffusivities and Schmidt Numbers for Gases in Air at 0c and 1 atmAppendix 19 Collision Integral and Lennard-Jones Force Constants

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Book SynopsisThe numerical simulation of manufacturing processes and of their mechanical consequences is of growing interest in industry. However, such simulations need the modeling of couplings between several physical phenomena such as heat transfer, material transformations and solid or fluid mechanics, as well as to be adapted to numerical methodologies. This book gathers a state of the art on how to simulate industrial processes, what data are needed and what numerical simulation can bring. Assembling processes such as welding and friction stir welding, material removal processes, elaboration processes of composite structures, sintering processes, surface-finishing techniques, and thermo-chemical treatments are investigated.This book is the work of a group of researchers who have been working together in this field for more than 12 years. It should prove useful for both those working in industry and those studying the numerical methods applied to multiphysics problems encountered in manufacturing processes.Trade Review“It is useful for both those active in industry and those studying the numerical methods applied to multiphysics problems encountered in manufacturing processes.” (Heat Processing, 1 September 2015) Table of ContentsPreface xi Chapter 1. Industrial Challenges Where Computational Welding Mechanics Becomes an Engineering Tool 1 Vincent Robin Chapter 2. Laser and Electron Beam Welding of 6xxx Series Aluminum Alloys – On Some Thermal, Mechanical and Metallurgical Aspects 75 Daniel Nélias, Muhammad Zain-ul-abdein and Daniel Maisonnette Chapter 3. Finite Element Modeling of Friction Stir Welding 155 Eric Feulvarch, Jean-Christophe Roux and Jean-Michel Bergheau 4. Material Removal Processes by Cutting and Abrasion: Numerical Methodologies, Present Results and Insights 187 Hédi Hamdi, Frédéric Valiorgue and Tarek Mabrouki Chapter 5. Finite Element Approach to the Sintering Process at the Grain Scale 247 Bruchon and Daniel Pino Munoz Chapter 6. Scratch-Based Residual Stress Field by Scratch-Based Surface Mechanical Treatments (Superfinishing, Polishing and Roller Burnishing) 305 Guillaume Kermouche Chapter 7. Simulation of the Cold Spray Deposition Process for Aluminum and Copper using Lagrangian, ALE and CEL Methods 321 Daniel Nélias, Jing Xie, Hélène Walter-Le Berre, Yuji Ichikawa and Kazuhiro Ogawa Chapter 8. Fluid/Solid/Porous Multiphysics Couplings for Modeling Infusion-Based Processing of Polymer Composites 359 Sylvain Drapier List of Authors 441 Index 443

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Book SynopsisThis book describes the potentialities of metaheuristics for solving production scheduling problems and the relationship between these two fields. For the past several years, there has been an increasing interest in using metaheuristic methods to solve scheduling problems. The main reasons for this are that such problems are generally hard to solve to optimality, as well as the fact that metaheuristics provide very good solutions in a reasonable time. The first part of the book presents eight applications of metaheuristics for solving various mono-objective scheduling problems. The second part is itself split into two, the first section being devoted to five multi-objective problems to which metaheuristics are adapted, while the second tackles various transportation problems related to the organization of production systems. Many real-world applications are presented by the authors, making this an invaluable resource for researchers and students in engineering, economics, mathematics and computer science. Contents 1. An Estimation of Distribution Algorithm for Solving Flow Shop Scheduling Problems with Sequence-dependent Family Setup Times, Mansour Eddaly, Bassem Jarboui, Radhouan Bouabda, Patrick Siarry and Abdelwaheb Rebaï. 2. Genetic Algorithms for Solving Flexible Job Shop Scheduling Problems, Imed Kacem. 3. A Hybrid GRASP-Differential Evolution Algorithm for Solving Flow Shop Scheduling Problems with No-Wait Constraints, Hanen Akrout, Bassem Jarboui, Patrick Siarry and Abdelwaheb Rebaï. 4. A Comparison of Local Search Metaheuristics for a Hierarchical Flow Shop Optimization Problem with Time Lags, Emna Dhouib, Jacques Teghem, Daniel Tuyttens and Taïcir Loukil. 5. Neutrality in Flow Shop Scheduling Problems: Landscape Structure and Local Search, Marie-Eléonore Marmion. 6. Evolutionary Metaheuristic Based on Genetic Algorithm: Application to Hybrid Flow Shop Problem with Availability Constraints, Nadia Chaaben, Racem Mellouli and Faouzi Masmoudi. 7. Models and Methods in Graph Coloration for Various Production Problems, Nicolas Zufferey. 8. Mathematical Programming and Heuristics for Scheduling Problems with Early and Tardy Penalties, Mustapha Ratli, Rachid Benmansour, Rita Macedo, Saïd Hanafi, Christophe Wilbaut. 9. Metaheuristics for Biobjective Flow Shop Scheduling, Matthieu Basseur and Arnaud Liefooghe. 10. Pareto Solution Strategies for the Industrial Car Sequencing Problem, Caroline Gagné, Arnaud Zinflou and Marc Gravel. 11. Multi-Objective Metaheuristics for the Joint Scheduling of Production and Maintenance, Ali Berrichi and Farouk Yalaoui. 12. Optimization via a Genetic Algorithm Parametrizing the AHP Method for Multicriteria Workshop Scheduling, Fouzia Ounnar, Patrick Pujo and Afef Denguir. 13. A Multicriteria Genetic Algorithm for the Resource-constrained Task Scheduling Problem, Olfa Dridi, Saoussen Krichen and Adel Guitouni. 14. Metaheuristics for the Solution of Vehicle Routing Problems in a Dynamic Context, Tienté Hsu, Gilles Gonçalves and Rémy Dupas. 15. Combination of a Metaheuristic and a Simulation Model for the Scheduling of Resource-constrained Transport Activities, Virginie André, Nathalie Grangeon and Sylvie Norre. 16. Vehicle Routing Problems with Scheduling Constraints, Rahma Lahyani, Frédéric Semet and Benoît Trouillet. 17. Metaheuristics for Job Shop Scheduling with Transportation, Qiao Zhang, Hervé Manier, Marie-Ange Manier. About the Authors Bassem Jarboui is Professor at the University of Sfax, Tunisia. Patrick Siarry is Professor at the Laboratoire Images, Signaux et Systèmes Intelligents (LISSI), University of Paris-Est Créteil, France. Jacques Teghem is Professor at the University of Mons, Belgium.Table of ContentsIntroduction and Presentation xv Bassem JARBOUI, Patrick SIARRY and Jacques TEGHEM Chapter 1. An Estimation of Distribution Algorithm for Solving Flow Shop Scheduling Problems with Sequence-dependent Family Setup Times 1 Mansour EDDALY, Bassem JARBOUI, Radhouan BOUABDA, Patrick SIARRY and Abdelwaheb REBAÏ 1.1. Introduction 1 1.2. Mathematical formulation 3 1.3. Estimation of distribution algorithms 5 1.3.1. Estimation of distribution algorithms proposed in the literature 6 1.4. The proposed estimation of distribution algorithm 8 1.4.1. Encoding scheme and initial population 8 1.4.2. Selection 9 1.4.3. Probability estimation 9 1.5. Iterated local search algorithm 10 1.6. Experimental results 11 1.7. Conclusion 15 1.8. Bibliography 15 Chapter 2. Genetic Algorithms for Solving Flexible Job Shop Scheduling Problems 19 Imed KACEM 2.1. Introduction 19 2.2. Flexible job shop scheduling problems 19 2.3. Genetic algorithms for some related sub-problems 25 2.4. Genetic algorithms for the flexible job shop problem 31 2.4.1. Codings 31 2.4.2. Mutation operators 34 2.4.3. Crossover operators 38 2.5. Comparison of codings 42 2.6. Conclusion 43 2.7. Bibliography 43 Chapter 3. A Hybrid GRASP-Differential Evolution Algorithm for Solving Flow Shop Scheduling Problems with No-Wait Constraints 45 Hanen AKROUT, Bassem JARBOUI, Patrick SIARRY and Abdelwaheb REBAÏ 3.1. Introduction 45 3.2. Overview of the literature 47 3.2.1. Single-solution metaheuristics 47 3.2.2. Population-based metaheuristics 49 3.2.3. Hybrid approaches 49 3.3. Description of the problem 50 3.4. GRASP 52 3.5. Differential evolution 53 3.6. Iterative local search 55 3.7. Overview of the NEW-GRASP-DE algorithm 55 3.7.1. Constructive phase 56 3.7.2. Improvement phase 57 3.8. Experimental results 57 3.8.1. Experimental results for the Reeves and Heller instances 58 3.8.2. Experimental results for the Taillard instances 60 3.9. Conclusion 62 3.10. Bibliography 64 Chapter 4. A Comparison of Local Search Metaheuristics for a Hierarchical Flow Shop Optimization Problem with Time Lags 69 Emna DHOUIB, Jacques TEGHEM, Daniel TUYTTENS and Taïcir LOUKIL 4.1. Introduction 69 4.2. Description of the problem 70 4.2.1. Flowshop with time lags 70 4.2.2. A bicriteria hierarchical flow shop problem 71 4.3. The proposed metaheuristics 73 4.3.1. A simulated annealing metaheuristics 74 4.3.2. The GRASP metaheuristics 77 4.4. Tests 82 4.4.1. Generated instances 82 4.4.2. Comparison of the results 83 4.5. Conclusion 94 4.6. Bibliography 94 Chapter 5. Neutrality in Flow Shop Scheduling Problems: Landscape Structure and Local Search 97 Marie-Eléonore MARMION 5.1. Introduction 97 5.2. Neutrality in a combinatorial optimization problem 98 5.2.1. Landscape in a combinatorial optimization problem 99 5.2.2. Neutrality and landscape 102 5.3. Study of neutrality in the flow shop problem 106 5.3.1. Neutral degree 106 5.3.2. Structure of the neutral landscape 108 5.4. Local search exploiting neutrality to solve the flow shop problem 112 5.4.1. Neutrality-based iterated local search 113 5.4.2. NILS on the flow shop problem 116 5.5. Conclusion 122 5.6. Bibliography 123 Chapter 6. Evolutionary Metaheuristic Based on Genetic Algorithm: Application to Hybrid Flow Shop Problem with Availability Constraints 127 Nadia CHAABEN, Racem MELLOULI and Faouzi MASMOUDI 6.1. Introduction 127 6.2. Overview of the literature 128 6.3. Overview of the problem and notations used 131 6.4. Mathematical formulations 133 6.4.1. First formulation (MILP1) 133 6.4.2. Second formulation (MILP2) 135 6.4.3. Third formulation (MILP3) 137 6.5. A genetic algorithm: model and methodology 139 6.5.1. Coding used for our algorithm 139 6.5.2. Generating the initial population 140 6.5.3. Selection operator 142 6.5.4. Crossover operator 142 6.5.5. Mutation operator 144 6.5.6. Insertion operator 144 6.5.7. Evaluation function: fitness 144 6.5.8. Stop criterion 145 6.6. Verification and validation of the genetic algorithm 145 6.6.1. Description of benchmarks 145 6.6.2. Tests and results 146 6.7. Conclusion 148 6.8. Bibliography 148 Chapter 7. Models and Methods in Graph Coloration for Various Production Problems 153 Nicolas ZUFFEREY 7.1. Introduction 153 7.2. Minimizing the makespan 155 7.2.1. Tabu algorithm 155 7.2.2. Hybrid genetic algorithm 157 7.2.3. Methods prior to GH 158 7.2.4. Extensions 159 7.3. Maximizing the number of completed tasks 160 7.3.1. Tabu algorithm 161 7.3.2. The ant colony algorithm 162 7.3.3. Extension of the problem 164 7.4. Precedence constraints 165 7.4.1. Tabu algorithm 168 7.4.2. Variable neighborhood search method 169 7.5. Incompatibility costs 171 7.5.1. Tabu algorithm 173 7.5.2. Adaptive memory method 175 7.5.3. Variations of the problem 177 7.6. Conclusion 178 7.7. Bibliography 179 Chapter 8. Mathematical Programming and Heuristics for Scheduling Problems with Early and Tardy Penalties 183 Mustapha RATLI, Rachid BENMANSOUR, Rita MACEDO, Saïd HANAFI, Christophe WILBAUT 8.1. Introduction 183 8.2. Properties and particular cases 185 8.3. Mathematical models 188 8.3.1. Linear models with precedence variables 188 8.3.2. Linear models with position variables 192 8.3.3. Linear models with time-indexed variables 194 8.3.4. Network flow models 197 8.3.5. Quadratic models 197 8.3.6. A comparative study 199 8.4. Heuristics 203 8.4.1. Properties 207 8.4.2. Evaluation 209 8.5. Metaheuristics 211 8.6. Conclusion 217 8.7. Acknowledgments 218 8.8. Bibliography 218 Chapter 9. Metaheuristics for Biobjective Flow Shop Scheduling 225 Matthieu BASSEUR and Arnaud LIEFOOGHE 9.1. Introduction 225 9.2. Metaheuristics for multiobjective combinatorial optimization 226 9.2.1. Main concepts 227 9.2.2. Some methods 229 9.2.3. Performance analysis 232 9.2.4. Software and implementation 237 9.3. Multiobjective flow shop scheduling problems 238 9.3.1. Flow shop problems 239 9.3.2. Permutation flow shop with due dates 240 9.3.3. Different objective functions 241 9.3.4. Sets of data 241 9.3.5. Analysis of correlations between objectives functions 242 9.4. Application to the biobjective flow shop 243 9.4.1. Model 244 9.4.2. Solution methods 246 9.4.3. Experimental analysis 246 9.5. Conclusion 249 9.6. Bibliography 250 Chapter 10. Pareto Solution Strategies for the Industrial Car Sequencing Problem 253 Caroline GAGNÉ, Arnaud ZINFLOU and Marc GRAVEL 10.1. Introduction 253 10.2. Industrial car sequencing problem 255 10.3. Pareto strategies for solving the CSP 260 10.3.1. PMSMO 260 10.3.2. GISMOO 264 10.4. Numerical experiments 268 10.4.1. Test sets 269 10.4.2. Performance metrics 270 10.5. Results and discussion 271 10.6. Conclusion 279 10.7. Bibliography 280 Chapter 11. Multi-Objective Metaheuristics for the Joint Scheduling of Production and Maintenance 283 Ali BERRICHI and Farouk YALAOUI 11.1. Introduction 283 11.2. State of the art on the joint problem 285 11.3. Integrated modeling of the joint problem 287 11.4. Concepts of multi-objective optimization 291 11.5. The particle swarm optimization method 292 11.6. Implementation of MOPSO algorithms 294 11.6.1. Representation and construction of the solutions 294 11.6.2. Solution Evaluation 295 11.6.3. The proposed MOPSO algorithms 298 11.6.4. Updating the velocities and positions 299 11.6.5. Hybridization with local searches 300 11.7. Experimental results 302 11.7.1. Choice of test problems and configurations 302 11.7.2. Experiments and analysis of the results 303 11.8. Conclusion 310 11.9. Bibliography 311 Chapter 12. Optimization via a Genetic Algorithm Parametrizing the AHP Method for Multicriteria Workshop Scheduling 315 Fouzia OUNNAR, Patrick PUJO and Afef DENGUIR 12.1. Introduction 315 12.2. Methods for solving multicriteria scheduling 316 12.2.1. Optimization methods 316 12.2.2. Multicriteria decision aid methods 318 12.2.3. Choice of the multicriteria decision aid method 319 12.3. Presentation of the AHP method 320 12.3.1. Phase 1: configuration 320 12.3.2. Phase 2: exploitation 321 12.4. Evaluation of metaheuristics for the configuration of AHP 322 12.4.1. Local search methods 323 12.4.2. Population-based methods 324 12.4.3. Advanced metaheuristics 326 12.5. Choice of metaheuristic 326 12.5.1. Justification of the choice of genetic algorithms 326 12.5.2. Genetic algorithms 328 12.6. AHP optimization by a genetic algorithm 330 12.6.1. Phase 0: configuration of the structure of the problem 331 12.6.2. Phase 1: preparation for automatic configuration 332 12.6.3. Phase 2: automatic configuration 334 12.6.4. Phase 3: preparation of the exploitation phase 335 12.7. Evaluation of G-AHP 336 12.7.1. Analysis of the behavior of G-AHP 336 12.7.2. Analysis of the results obtained by G-AHP 342 12.8. Conclusions 343 12.9. Bibliography 344 Chapter 13. A Multicriteria Genetic Algorithm for the Resource-constrained Task Scheduling Problem 349 Olfa DRIDI, Saoussen KRICHEN and Adel GUITOUNI 13.1. Introduction 349 13.2. Description and formulation of the problem 350 13.3. Literature review 353 13.3.1. Exact methods 354 13.3.2. Approximate methods 355 13.4. A multicriteria genetic algorithm for the MMSAP 356 13.4.1. Encoding variables 357 13.4.2. Genetic operators 358 13.4.3. Parameter settings 359 13.4.4. The GA 360 13.5. Experimental study 361 13.5.1. Diversification of the approximation set based on the diversity indicators 364 13.6. Conclusion 369 13.7. Bibliography 369 Chapter 14. Metaheuristics for the Solution of Vehicle Routing Problems in a Dynamic Context 373 Tienté HSU, Gilles GONÇALVES and Rémy DUPAS 14.1. Introduction 373 14.2. Dynamic vehicle route management 375 14.2.1. The vehicle routing problem with time windows 377 14.3. Platform for the solution of the DVRPTW 382 14.3.1. Encoding a chromosome 384 14.4. Treating uncertainties in the orders 386 14.5. Treatment of traffic information 392 14.6. Conclusion 397 14.7. Bibliography 398 Chapter 15. Combination of a Metaheuristic and a Simulation Model for the Scheduling of Resource-constrained Transport Activities 401 Virginie ANDRÉ, Nathalie GRANGEON and Sylvie NORRE 15.1. Knowledge model 403 15.1.1. Fixed resources and mobile resources 403 15.1.2. Modelling the activities in steps 404 15.1.3. The problem to be solved 406 15.1.4. Illustrative example 407 15.2. Solution procedure 410 15.3. Proposed approach 413 15.3.1. Metaheuristics 414 15.3.2. Simulation model 421 15.4. Implementation and results 422 15.4.1. Impact on the work mode 423 15.4.2. Results of the set of modifications to the teaching hospital 425 15.4.3. Preliminary study of the choice of shifts 428 15.5. Conclusion 430 15.6. Bibliography 431 Chapter 16. Vehicle Routing Problems with Scheduling Constraints 433 Rahma LAHYANI, Frédéric SEMET and Benoît TROUILLET 16.1. Introduction 433 16.2. Definition, complexity and classification 435 16.2.1. Definition and complexity 435 16.2.2. Classification 436 16.3. Time-constrained vehicle routing problems 438 16.3.1. Vehicle routing problems with time windows 438 16.3.2. Period vehicle routing problems 441 16.3.3. Vehicle routing problem with cross-docking 443 16.4. Vehicle routing problems with resource availability constraints 448 16.4.1. Multi-trip vehicle routing problem 448 16.4.2. Vehicle routing problem with crew scheduling 450 16.5. Conclusion 452 16.6. Bibliography 453 Chapter 17. Metaheuristics for Job Shop Scheduling with Transportation 465 Qiao ZHANG, Hervé MANIER, Marie-Ange MANIER 17.1. General flexible job shop scheduling problems 466 17.2. State of the art on job shop scheduling with transportation resources 468 17.3. GTSB procedure 474 17.3.1. A hybrid metaheuristic algorithm for the GFJSSP 474 17.3.2. Tests and results 480 17.3.3. Conclusion for GTSB 489 17.4. Conclusion 491 17.5. Bibliography 491 List of Authors 495 Index 499

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Book SynopsisThe term “automation” includes all topics that have traditionally been identified using names such as instrumentation, instruments and control, process control, process automation, control systems, automation and control, manufacturing control, manufacturing automation, and system integration. The topics in this book represent the scope of automation application, they include: Process and analytical instrumentation Continuous and batch control Control valves and final control elements Basic discrete, sequencing, and manufacturing control Advanced control Digital and analog communications Data management and system software Networking and security Safety and reliability System checkout, testing, start-up, and troubleshooting Project management This edition—written by 38 leading experts from all aspects of automation—provides comprehensive information about all major topics in the broad field of automation. It serves as a technical summary of automation knowledge for those who need a complete perspective on automation including: Automation professionals who need to understand the basics of an unfamiliar topic Managers who need a better perspective of all aspects of automation, enabling them to better set direction and make staffing decisions Those who work in fields related to automation, such as IT professionals who need to learn more about plant floor control and information systems Academicians who need guidance in developing and improving curriculum or courses Students, novices, and others evaluating career decisions Those studying for the ISA Certified Automation Professional® (CAP®), ISA Certified Control Systems Technician® (CCST®), and/or Control Systems Engineer (CSE) exams

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