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Resource-constrained project scheduling [[electronic resource] ] : models, algorithms, extensions and applications / / edited by Christian Artigues, Sophie Demassey, Emmanuel Neron
| Resource-constrained project scheduling [[electronic resource] ] : models, algorithms, extensions and applications / / edited by Christian Artigues, Sophie Demassey, Emmanuel Neron |
| Pubbl/distr/stampa | London, : ISTE |
| Descrizione fisica | 1 online resource (310 p.) |
| Disciplina |
658.5/3
658.53 |
| Altri autori (Persone) |
DemasseySophie
NeronEmmanuel ArtiguesChristian |
| Collana | ISTE |
| Soggetto topico |
Production scheduling
Scheduling |
| ISBN |
1-282-16508-9
9786612165085 0-470-61122-7 0-470-39384-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Resource-Constrained Project Scheduling; Table of Contents; Preface; Part 1. Models and Algorithms for the Standard Resource-Constrained Project Scheduling Problem; Chapter 1. The Resource-Constrained Project Scheduling Problem; 1.1. A combinatorial optimization problem; 1.2. A simple resource-constrained project example; 1.3. Computational complexity; 1.4. Dominant and non-dominant schedule subsets; 1.5. Order-based representation of schedules and related dominant schedule sets; 1.6. Forbidden sets and resource flow network formulations of the RCPSP
1.7. A simple method for enumerating a dominant set of quasi-active schedulesChapter 2. Resource and Precedence Constraint Relaxation; 2.1. Relaxing resource constraints; 2.2. Calculating the disjunctive subproblem; 2.3. Deducing identical parallel machine problems; 2.4. Single cumulative resource problem; 2.5. Conclusion and perspectives; Chapter 3. Mathematical Programming Formulations and Lower Bounds; 3.1. Sequence-based models; 3.1.1. Minimal forbidden sets; 3.1.2. Resource flow; 3.2. Time-indexed formulations; 3.2.1. Resource conflicts as linear constraints 3.2.2. Feasible configurations3.2.2.1. Combinatorial relaxations; 3.2.2.2. Column generation and further improvements; 3.2.2.3. Cutting planes for the preemptive relaxation; 3.3. Linear lower bounds and redundant resources; Chapter 4. Constraint Programming Formulations and Propagation Algorithms; 4.1. Constraint formulations; 4.1.1. Constraint programming; 4.1.2. Constraint-based scheduling; 4.2. Constraint propagation algorithms; 4.2.1. Temporal constraints; 4.2.2. Timetabling; 4.2.3. Disjunctive reasoning; 4.2.4. Edge-finding; 4.2.5. Energy reasoning; 4.2.6. Precedence graph 4.2.7. Energy precedence4.2.8. Balance constraint; 4.3. Conclusion; Chapter 5. Branching Schemes for Branch-and-Bound; 5.1. Chronological branching scheme; 5.1.1. Adding one activity to a partial solution; 5.1.1.1. Considering all relevant activities; 5.1.1.2. Delaying one activity; 5.1.2. Dominance rule: left shift and global left shift; 5.1.3. Adding a subset of activities to a partial solution; 5.1.3.1. Delaying alternatives; 5.1.3.2. Building a solution using blocks; 5.1.4. Dominance rule: cut-set; 5.2. Specific branching schemes; 5.2.1. Fixing disjunction and parallel relationship 5.2.2. Reducing time-windows of activities5.2.3. Resolving forbidden sets; 5.3. Conclusion and perspectives; Chapter 6. Heuristics; 6.1. Schedule representation schemes; 6.1.1. Natural date variables; 6.1.2. List schedule generation scheme representations; 6.1.3. Set-based representations; 6.1.4. Resource flow network representation; 6.2. Constructive heuristics; 6.2.1. Standard list schedule generation scheme heuristics; 6.2.2. A generic insertion-based list schedule generation scheme; 6.2.3. Set schedule generation scheme heuristics; 6.2.4. (Double-)justification-based methods 6.3. Local search neighborhoods |
| Record Nr. | UNINA-9910139469403321 |
| London, : ISTE | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Resource-constrained project scheduling [[electronic resource] ] : models, algorithms, extensions and applications / / edited by Christian Artigues, Sophie Demassey, Emmanuel Neron
| Resource-constrained project scheduling [[electronic resource] ] : models, algorithms, extensions and applications / / edited by Christian Artigues, Sophie Demassey, Emmanuel Neron |
| Pubbl/distr/stampa | London, : ISTE |
| Descrizione fisica | 1 online resource (310 p.) |
| Disciplina |
658.5/3
658.53 |
| Altri autori (Persone) |
DemasseySophie
NeronEmmanuel ArtiguesChristian |
| Collana | ISTE |
| Soggetto topico |
Production scheduling
Scheduling |
| ISBN |
1-282-16508-9
9786612165085 0-470-61122-7 0-470-39384-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Resource-Constrained Project Scheduling; Table of Contents; Preface; Part 1. Models and Algorithms for the Standard Resource-Constrained Project Scheduling Problem; Chapter 1. The Resource-Constrained Project Scheduling Problem; 1.1. A combinatorial optimization problem; 1.2. A simple resource-constrained project example; 1.3. Computational complexity; 1.4. Dominant and non-dominant schedule subsets; 1.5. Order-based representation of schedules and related dominant schedule sets; 1.6. Forbidden sets and resource flow network formulations of the RCPSP
1.7. A simple method for enumerating a dominant set of quasi-active schedulesChapter 2. Resource and Precedence Constraint Relaxation; 2.1. Relaxing resource constraints; 2.2. Calculating the disjunctive subproblem; 2.3. Deducing identical parallel machine problems; 2.4. Single cumulative resource problem; 2.5. Conclusion and perspectives; Chapter 3. Mathematical Programming Formulations and Lower Bounds; 3.1. Sequence-based models; 3.1.1. Minimal forbidden sets; 3.1.2. Resource flow; 3.2. Time-indexed formulations; 3.2.1. Resource conflicts as linear constraints 3.2.2. Feasible configurations3.2.2.1. Combinatorial relaxations; 3.2.2.2. Column generation and further improvements; 3.2.2.3. Cutting planes for the preemptive relaxation; 3.3. Linear lower bounds and redundant resources; Chapter 4. Constraint Programming Formulations and Propagation Algorithms; 4.1. Constraint formulations; 4.1.1. Constraint programming; 4.1.2. Constraint-based scheduling; 4.2. Constraint propagation algorithms; 4.2.1. Temporal constraints; 4.2.2. Timetabling; 4.2.3. Disjunctive reasoning; 4.2.4. Edge-finding; 4.2.5. Energy reasoning; 4.2.6. Precedence graph 4.2.7. Energy precedence4.2.8. Balance constraint; 4.3. Conclusion; Chapter 5. Branching Schemes for Branch-and-Bound; 5.1. Chronological branching scheme; 5.1.1. Adding one activity to a partial solution; 5.1.1.1. Considering all relevant activities; 5.1.1.2. Delaying one activity; 5.1.2. Dominance rule: left shift and global left shift; 5.1.3. Adding a subset of activities to a partial solution; 5.1.3.1. Delaying alternatives; 5.1.3.2. Building a solution using blocks; 5.1.4. Dominance rule: cut-set; 5.2. Specific branching schemes; 5.2.1. Fixing disjunction and parallel relationship 5.2.2. Reducing time-windows of activities5.2.3. Resolving forbidden sets; 5.3. Conclusion and perspectives; Chapter 6. Heuristics; 6.1. Schedule representation schemes; 6.1.1. Natural date variables; 6.1.2. List schedule generation scheme representations; 6.1.3. Set-based representations; 6.1.4. Resource flow network representation; 6.2. Constructive heuristics; 6.2.1. Standard list schedule generation scheme heuristics; 6.2.2. A generic insertion-based list schedule generation scheme; 6.2.3. Set schedule generation scheme heuristics; 6.2.4. (Double-)justification-based methods 6.3. Local search neighborhoods |
| Record Nr. | UNINA-9910829972903321 |
| London, : ISTE | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Resource-constrained project scheduling : models, algorithms, extensions and applications / / edited by Christian Artigues, Sophie Demassey, Emmanuel Neron
| Resource-constrained project scheduling : models, algorithms, extensions and applications / / edited by Christian Artigues, Sophie Demassey, Emmanuel Neron |
| Pubbl/distr/stampa | London, : ISTE |
| Descrizione fisica | 1 online resource (310 p.) |
| Disciplina | 658.5/3 |
| Altri autori (Persone) |
DemasseySophie
NeronEmmanuel ArtiguesChristian |
| Collana | ISTE |
| Soggetto topico |
Production scheduling
Scheduling |
| ISBN |
1-282-16508-9
9786612165085 0-470-61122-7 0-470-39384-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Resource-Constrained Project Scheduling; Table of Contents; Preface; Part 1. Models and Algorithms for the Standard Resource-Constrained Project Scheduling Problem; Chapter 1. The Resource-Constrained Project Scheduling Problem; 1.1. A combinatorial optimization problem; 1.2. A simple resource-constrained project example; 1.3. Computational complexity; 1.4. Dominant and non-dominant schedule subsets; 1.5. Order-based representation of schedules and related dominant schedule sets; 1.6. Forbidden sets and resource flow network formulations of the RCPSP
1.7. A simple method for enumerating a dominant set of quasi-active schedulesChapter 2. Resource and Precedence Constraint Relaxation; 2.1. Relaxing resource constraints; 2.2. Calculating the disjunctive subproblem; 2.3. Deducing identical parallel machine problems; 2.4. Single cumulative resource problem; 2.5. Conclusion and perspectives; Chapter 3. Mathematical Programming Formulations and Lower Bounds; 3.1. Sequence-based models; 3.1.1. Minimal forbidden sets; 3.1.2. Resource flow; 3.2. Time-indexed formulations; 3.2.1. Resource conflicts as linear constraints 3.2.2. Feasible configurations3.2.2.1. Combinatorial relaxations; 3.2.2.2. Column generation and further improvements; 3.2.2.3. Cutting planes for the preemptive relaxation; 3.3. Linear lower bounds and redundant resources; Chapter 4. Constraint Programming Formulations and Propagation Algorithms; 4.1. Constraint formulations; 4.1.1. Constraint programming; 4.1.2. Constraint-based scheduling; 4.2. Constraint propagation algorithms; 4.2.1. Temporal constraints; 4.2.2. Timetabling; 4.2.3. Disjunctive reasoning; 4.2.4. Edge-finding; 4.2.5. Energy reasoning; 4.2.6. Precedence graph 4.2.7. Energy precedence4.2.8. Balance constraint; 4.3. Conclusion; Chapter 5. Branching Schemes for Branch-and-Bound; 5.1. Chronological branching scheme; 5.1.1. Adding one activity to a partial solution; 5.1.1.1. Considering all relevant activities; 5.1.1.2. Delaying one activity; 5.1.2. Dominance rule: left shift and global left shift; 5.1.3. Adding a subset of activities to a partial solution; 5.1.3.1. Delaying alternatives; 5.1.3.2. Building a solution using blocks; 5.1.4. Dominance rule: cut-set; 5.2. Specific branching schemes; 5.2.1. Fixing disjunction and parallel relationship 5.2.2. Reducing time-windows of activities5.2.3. Resolving forbidden sets; 5.3. Conclusion and perspectives; Chapter 6. Heuristics; 6.1. Schedule representation schemes; 6.1.1. Natural date variables; 6.1.2. List schedule generation scheme representations; 6.1.3. Set-based representations; 6.1.4. Resource flow network representation; 6.2. Constructive heuristics; 6.2.1. Standard list schedule generation scheme heuristics; 6.2.2. A generic insertion-based list schedule generation scheme; 6.2.3. Set schedule generation scheme heuristics; 6.2.4. (Double-)justification-based methods 6.3. Local search neighborhoods |
| Record Nr. | UNINA-9910876988103321 |
| London, : ISTE | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||