Integration of Process Planning and Scheduling

Approaches and Algorithms

Rakesh Kumar Phanden, Ajai Jain, J. Paulo Davim

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English

CRC Press
30 September 2021

Product design; Maths for engineers; Other manufacturing technologies; Production engineering; Hydraulic engineering

Series: Science, Technology, and Management

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

Edited by: Rakesh Kumar Phanden, Ajai Jain, J. Paulo Davim
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 340g
ISBN: 9781032176864
ISBN 10: 1032176865
Series: Science, Technology, and Management
Pages: 240
Publication Date: 30 September 2021
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

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