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Production scheduling [[electronic resource] /] / edited by Pierre Lopez, Francois Roubellat
| Production scheduling [[electronic resource] /] / edited by Pierre Lopez, Francois Roubellat |
| Pubbl/distr/stampa | London, : ISTE |
| Descrizione fisica | 1 online resource (391 p.) |
| Disciplina |
658.5/3
658.53 |
| Altri autori (Persone) |
LopezPierre
RoubellatFrançois |
| Collana | ISTE |
| Soggetto topico |
Production scheduling
Inventory control |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-282-16495-3
9786612164958 0-470-61105-7 0-470-39363-7 1-60119-929-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Production 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
Chapter 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 Chapter 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 4.5.1. 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 5.3.2. 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 6.2.1. Limits of the basic method |
| Record Nr. | UNINA-9910139911503321 |
| London, : ISTE | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Production scheduling [[electronic resource] /] / edited by Pierre Lopez, Francois Roubellat
| Production scheduling [[electronic resource] /] / edited by Pierre Lopez, Francois Roubellat |
| Pubbl/distr/stampa | London, : ISTE |
| Descrizione fisica | 1 online resource (391 p.) |
| Disciplina |
658.5/3
658.53 |
| Altri autori (Persone) |
LopezPierre
RoubellatFrançois |
| Collana | ISTE |
| Soggetto topico |
Production scheduling
Inventory control |
| ISBN |
1-282-16495-3
9786612164958 0-470-61105-7 0-470-39363-7 1-60119-929-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Production 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
Chapter 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 Chapter 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 4.5.1. 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 5.3.2. 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 6.2.1. Limits of the basic method |
| Record Nr. | UNINA-9910831058903321 |
| London, : ISTE | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||