LEADER 05543nam 2200709Ia 450 001 9911020430603321 005 20250925214956.0 010 $a9780470611050 010 $a1-282-16495-3 010 $a9786612164958 010 $a0-470-61105-7 010 $a0-470-39363-7 010 $a1-60119-929-5 035 $a(CKB)1000000000800377 035 $a(EBL)479819 035 $a(OCoLC)593239948 035 $a(SSID)ssj0000072790 035 $a(PQKBManifestationID)11107627 035 $a(PQKBTitleCode)TC0000072790 035 $a(PQKBWorkID)10095084 035 $a(PQKB)10368729 035 $a(MiAaPQ)EBC479819 035 $a(EXLCZ)991000000000800377 100 $a20071022d2008 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProduction scheduling /$fedited by Pierre Lopez, Francois Roubellat 210 1$aLondon :$cISTE ;$aHoboken, NJ :$cJohn Wiley & Sons,$d2008. 215 $a1 online resource (391 pages) 225 1 $aISTE ;$vv.20 300 $a"First published in France in 2001 by Hermes Science entitled 'Ordonnancement de la production'" --T.p. verso. 311 1 $a1-84821-017-5 9781848210172 320 $aIncludes bibliographical references and index. 327 $aProduction Scheduling; Table of Contents; Preface; Chapter 1. Statement of Production Scheduling; Chapter 2. Basic Concepts and Methods in Production Scheduling; 2.1. Introduction; 2.2. Basic scheduling concepts; 2.2.1. Tasks; 2.2.2. Resources; 2.2.3. Modeling; 2.2.4. Resolution methods; 2.2.5. Representation of solutions; 2.3. Project scheduling; 2.3.1. Modeling; 2.3.2 Resolution; 2.4 Shop scheduling; 2.4.1 Introduction; 2.4.2 Basic model; 2.4.3 One-machine problem; 2.4.4 Parallel machine problems; 2.4.5 Flow shop; 2.4.6 Job shop; 2.5 Conclusion; 2.6 Bibliography 327 $aChapter 3. Metaheuristics and Scheduling3.1. Introduction; 3.2. What is a combinatorial optimization problem?; 3.3. Solution methods for combinatorial optimization problems; 3.4. The different metaheuristic types; 3.4.1. The constructive approach; 3.4.2. Local search approach; 3.4.3. The evolutionary approach; 3.4.4. The hybrid approach; 3.5. An application example: job shop scheduling with tooling constraints; 3.5.1. Traditional job shop modeling; 3.5.2. Comparing both types of problems; 3.5.3. Tool switching; 3.5.4. TOMATO algorithm; 3.6. Conclusion; 3.7. Bibliography 327 $aChapter 4. Genetic Algorithms and Scheduling4.1. Introduction; 4.1.1. Origin of genetic algorithms; 4.1.2. General principles of genetic algorithms; 4.1.3. Schema theorem; 4.1.4. Chapter presentation; 4.2. One-machine problems; 4.2.1. Example 1: total time and setup times; 4.2.2. Example 2: sum of weighted tardiness; 4.2.3. Example 3: sum of weighted tardiness and setup times; 4.3. Job shop problems; 4.4. Hybrid flow shop; 4.4.1. Specific case: one-stage total duration problem; 4.4.2. General case: k stages total duration problem; 4.5. Hybrid genetic algorithms 327 $a4.5.1. Hybridization with other metaheuristics4.5.2. Hybridization with combinatorial optimization methods; 4.6. Conclusion; 4.7. Bibliography; Chapter 5. Constraint Propagation and Scheduling; 5.1. Introduction; 5.1.1. Problem and chapter organization; 5.1.2. Constraint propagation; 5.1.3. Scheduling problem statement; 5.1.4. Notations; 5.2. Time constraint propagation; 5.2.1. Introduction; 5.2.2. Definition; 5.2.3. Simple temporal problems; 5.2.4. General temporal problems; 5.3. Resource constraint propagation; 5.3.1. Characterization of conflicts 327 $a5.3.2. Deductions based on critical sets and MDSs5.3.3. Deductions based on the energetic balance; 5.4. Integration of propagation techniques in search methods; 5.4.1. General improvement techniques of chronological backtracking; 5.4.2. Heuristics for variable and value ordering; 5.4.3. Strategies for applying propagation rules; 5.4.4. Use of a backtracking algorithm; 5.5. Extensions; 5.5.1. Preemptive problems; 5.5.2. Consideration of allocation constraints; 5.6. Conclusion; 5.7. Bibliography; Chapter 6. Simulation Approach; 6.1. Introduction; 6.2. Heuristic resolution (greedy) procedures 327 $a6.2.1. Limits of the basic method 330 $aThe performance of an company depends both on its technological expertise and its managerial and organizational effectiveness. Production management is an important part of the process for manufacturing firms. The organization of production relies in general on the implementation of a certain number of basic functions, among which the scheduling function plays an essential role. This title presents recently developed methods for resolving scheduling issues. The basic concepts and the methods of production scheduling are introduced and advanced techniques are discussed, providing readers with 410 0$aISTE ;$v20 606 $aProduction scheduling 606 $aInventory control 606 $aGestió d'estocs$2lemac 606 $aProducció$xProgramació$2lemac 615 0$aProduction scheduling. 615 0$aInventory control. 615 7$aGestió d'estocs 615 7$aProducció$xProgramació. 676 $a658.5/3 701 $aLopez$b Pierre$01305667 701 $aRoubellat$b Francois$01841777 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911020430603321 996 $aProduction scheduling$94421620 997 $aUNINA