Integration of Process Planning and Scheduling
Editat de Ajai Jain, J. Paulo Davim, Rakesh Kumar Phandenen Limba Engleză Hardback – 17 oct 2019
Features
- Covers the basics of both process planning, and scheduling
- Presents nonlinear approaches, closed-loop approaches, as well as distributed approaches
- Discuss the outfit of IPPS in Industry 4.0 paradigm
- Includes the benchmarking problems on IPPS
- Contains nature-inspired algorithms and metaheuristics for performance measurements in IPPS
- Presents analysis of energy-efficient objective for sustainable manufacturing in IPPS
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Specificații
ISBN-13: 9780367030780
ISBN-10: 0367030780
Pagini: 226
Ilustrații: 83 Tables, black and white; 35 Line drawings, black and white; 4 Halftones, black and white; 39 Illustrations, black and white
Dimensiuni: 247 x 374 x 14 mm
Greutate: 0.43 kg
Editura: Taylor & Francis Ltd.
ISBN-10: 0367030780
Pagini: 226
Ilustrații: 83 Tables, black and white; 35 Line drawings, black and white; 4 Halftones, black and white; 39 Illustrations, black and white
Dimensiuni: 247 x 374 x 14 mm
Greutate: 0.43 kg
Editura: Taylor & Francis Ltd.
Notă biografică
Rakesh Kumar Phanden, Ajai Jain, J. Paulo Davim
Cuprins
1. Integration of Process Planning and Scheduling: Introduction. 2. Approaches to Integrate Process Planning and Scheduling. 3. A Case Study on Optimization of Integrated Process Planning and Scheduling Functions Using Simulation-Based Genetic Algorithm and Heuristic for Makespan Performance Measurement. 4. An Approach to Integrated Process Planning and Scheduling Based on Variable Neighbourhood Search. 5. Integration of Process Planning and Scheduling in an Energy Efficient Flexible Job Shop: A Hybrid Moth Flame Evolutionary Algorithm. 6. Integration of Scheduling and Process Planning in Shop Floor: A Probability Model-Based Approach. 7. Integrated Process Planning and Scheduling Using Dynamic Approach. 8. Due-date Agreement in Integrated Process Planning and Scheduling Environment Using Common Meta-Heuristics. 9. Integration of Process Planning and Scheduling: An Approach Based on Ant Lion Optimization Algorithm. 10. A Review on Testbed Problems for Integration of Process Planning and Scheduling.