LEADER 05790nam 2200805 a 450 001 9910808404303321 005 20240313135938.0 010 $a9781118569597 010 $a1118569598 010 $a9781299468849 010 $a1299468845 010 $a9781118569689 010 $a1118569687 010 $a9781118569573 010 $a1118569571 035 $a(CKB)2670000000336593 035 $a(EBL)1120435 035 $a(OCoLC)829461561 035 $a(SSID)ssj0000904861 035 $a(PQKBManifestationID)11512253 035 $a(PQKBTitleCode)TC0000904861 035 $a(PQKBWorkID)10924300 035 $a(PQKB)10043278 035 $a(OCoLC)828247122 035 $a(MiAaPQ)EBC1120435 035 $a(Au-PeEL)EBL1120435 035 $a(CaPaEBR)ebr10684946 035 $a(CaONFJC)MIL478134 035 $a(PPN)242894526 035 $a(OCoLC)818323808 035 $a(FINmELB)ELB178654 035 $a(Perlego)1002745 035 $a(EXLCZ)992670000000336593 100 $a20120807d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aOptimization of logistics /$fAlice Yalaoui ... [et al.] 205 $a1st ed. 210 $aHoboken, N.J. $cISTE Ltd. $cJohn Wiley and Sons, Inc.$d2012 215 $a1 online resource (305 p.) 225 1 $aAutomation-control and industrial engineering series 300 $aDescription based upon print version of record. 311 08$a9781848214248 311 08$a1848214243 320 $aIncludes bibliographical references and index. 327 $aCover; Title Page; Copyright Page; Table of Contents; Introduction; Chapter 1. Modeling and Performance Evaluation; 1.1. Introduction; 1.2. Markovian processes; 1.2.1. Overview of stochastic processes; 1.2.2. Markov processes; 1.2.2.1. Basics; 1.2.2.2. Chapman-Kolmogorov equations; 1.2.2.3. Steady-state probabilities; 1.2.2.4. Graph associated with a Markov process; 1.2.2.5. Application to production systems; 1.2.3. Markov chains; 1.2.3.1. Basics; 1.2.3.2. State probability vectors; 1.2.3.3. Fundamental equation of a Markov chain; 1.2.3.4. Graph associated with a Markov chain 327 $a1.2.3.5. Steady states of ergodic Markov chains1.2.3.6. Application to production systems; 1.3. Petri nets; 1.3.1. Introduction to Petri nets; 1.3.1.1. Basic definitions; 1.3.1.2. Dynamics of Petri nets; 1.3.1.3. Specific structures; 1.3.1.4. Tools for Petri net analysis; 1.3.1.5. Properties of Petri nets; 1.3.2. Non-autonomous Petri nets; 1.3.3. Timed Petri nets; 1.3.4. Continuous Petri nets; 1.3.4.1. Fundamental equation and performance analysis; 1.3.4.2. Example; 1.3.5. Colored Petri nets; 1.3.6. Stochastic Petri nets; 1.3.6.1. Firing time; 1.3.6.2. Firing selection policy 327 $a1.3.6.3. Service policy1.3.6.4. Memory policy; 1.3.6.5. Petri net analysis; 1.3.6.6. Marking graph; 1.3.6.7. Generator of Markovian processes; 1.3.6.8. Fundamental equation; 1.3.6.9. Steady-state probabilities; 1.3.6.10. Performance indices (steady state); 1.4. Discrete-event simulation; 1.4.1. The role of simulation in logistics systems analysis; 1.4.2. Components and dynamic evolution of systems; 1.4.3. Representing chance and the Monte Carlo method; 1.4.3.1. Uniform distribution U [0, 1]; 1.4.3.2. The Monte Carlo method; 1.4.4. Simulating probability distributions 327 $a1.4.4.1. Simulating random events1.4.4.2. Simulating discrete random variables; 1.4.4.3. Simulating continuous random variables; 1.4.5. Discrete-event systems; 1.4.5.1. Key aspects of simulation; 1.5. Decomposition method; 1.5.1. Presentation; 1.5.2. Details of the method; Chapter 2. Optimization; 2.1. Introduction; 2.2. Polynomial problems and NP-hard problems; 2.2.1. The complexity of an algorithm; 2.2.2. Example of calculating the complexity of an algorithm; 2.2.3. Some definitions; 2.2.3.1. Polynomial-time algorithms; 2.2.3.2. Pseudo-polynomial-time algorithms 327 $a2.2.3.3. Exponential-time algorithms2.2.4. Complexity of a problem; 2.2.4.1. Polynomial-time problems; 2.2.4.2. NP-hard problems; 2.3. Exact methods; 2.3.1. Mathematical programming; 2.3.2. Dynamic programming; 2.3.3. Branch and bound algorithm; 2.4. Approximate methods; 2.4.1. Genetic algorithms; 2.4.1.1. General principles; 2.4.1.2. Encoding the solutions; 2.4.1.3. Crossover operators; 2.4.1.4. Mutation operators; 2.4.1.5. Constructing the population in the next generation; 2.4.1.6. Stopping condition; 2.4.2. Ant colonies; 2.4.2.1. General principle 327 $a2.4.2.2. Management of pheromones: example of the traveling salesman problem 330 $a This book aims to help engineers, Masters students and young researchers to understand and gain a general knowledge of logistic systems optimization problems and techniques, such as system design, layout, stock management, quality management, lot-sizing or scheduling. It summarizes the evaluation and optimization methods used to solve the most frequent problems. In particular, the authors also emphasize some recent and interesting scientific developments, as well as presenting some industrial applications and some solved instances from real-life cases.Performance evaluation tools (Pet 410 0$aAutomation-control and industrial engineering series. 606 $aComputer science$xMathematics 606 $aLogistics$xMathematical models 615 0$aComputer science$xMathematics. 615 0$aLogistics$xMathematical models. 676 $a511.1 700 $aYalaoui$b Alice$01603342 701 $aYalaoui$b Alice$01603342 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910808404303321 996 $aOptimization of logistics$93927673 997 $aUNINA