Integration of Process Planning and Scheduling (eBook, PDF)

Approaches and Algorithms
Redaktion: Phanden, Rakesh Kumar; Davim, J. Paulo; Jain, Ajai

• Format: PDF

Produktbeschreibung

Both process planning and scheduling are very important functions of manufacturing, which affect together the cost to manufacture a product and the time to deliver it. This book contains various approaches proposed by researchers to integrate the process planning and scheduling functions of manufacturing under varying configurations of shops. It is useful for both beginners and advanced researchers to understand and formulate the Integration Process Planning and Scheduling (IPPS) problem effectively.

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-algorithms and metaheuristics for performance measurements in IPPS
• Presents analysis of energy-efficient objective for sustainable manufacturing in IPPS

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 238
• Erscheinungstermin: 16. Oktober 2019
• Englisch
• ISBN-13: 9780429667442
• Artikelnr.: 57932023

Autorenporträt

Rakesh Kumar Phanden, Ajai Jain, J. Paulo Davim

Inhaltsangabe

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.