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Integration of Process Planning and Scheduling: Approaches and Algorithms [Hardback]

Edited by (Department of Mechanical Engineering, Amity School of Science and Technology), Edited by (University of Aveiro, Portugal), Edited by (National Institute of Technology)
  • Formāts: Hardback, 226 pages, height x width: 234x156 mm, weight: 453 g, 83 Tables, black and white; 35 Line drawings, black and white; 4 Halftones, black and white; 39 Illustrations, black and white
  • Sērija : Science, Technology, and Management
  • Izdošanas datums: 17-Oct-2019
  • Izdevniecība: CRC Press
  • ISBN-10: 0367030780
  • ISBN-13: 9780367030780
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  • Hardback
  • Cena: 217,27 €
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Integration of Process Planning and Scheduling: Approaches and AlgorithmsPalielināt
  • Formāts: Hardback, 226 pages, height x width: 234x156 mm, weight: 453 g, 83 Tables, black and white; 35 Line drawings, black and white; 4 Halftones, black and white; 39 Illustrations, black and white
  • Sērija : Science, Technology, and Management
  • Izdošanas datums: 17-Oct-2019
  • Izdevniecība: CRC Press
  • ISBN-10: 0367030780
  • ISBN-13: 9780367030780
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9780367030780.html
Keywords:
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

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.

Rakesh Kumar Phanden, Ajai Jain, J. Paulo Davim