Multi-objective Evolutionary Optimisation for Product Design and Manufacturing

✍ Scribed by Kalyanmoy Deb (auth.), Lihui Wang, Amos H. C. Ng, Kalyanmoy Deb (eds.)

• Publisher: Springer-Verlag London
• Year: 2011
• Tongue: English
• Leaves: 519
• Edition: 1
• Category: Library

✦ Synopsis

With the increasing complexity and dynamism in today’s product design and manufacturing, more optimal, robust and practical approaches and systems are needed to support product design and manufacturing activities. Multi-objective Evolutionary Optimisation for Product Design and Manufacturing presents a focused collection of quality chapters on state-of-the-art research efforts in multi-objective evolutionary optimisation, as well as their practical applications to integrated product design and manufacturing.

Multi-objective Evolutionary Optimisation for Product Design and Manufacturing consists of two major sections. The first presents a broad-based review of the key areas of research in multi-objective evolutionary optimisation. The second gives in-depth treatments of selected methodologies and systems in intelligent design and integrated manufacturing.

Recent developments and innovations in multi-objective evolutionary optimisation make Multi-objective Evolutionary Optimisation for Product Design and Manufacturing a useful text for a broad readership, from academic researchers to practicing engineers.

✦ Table of Contents

Front Matter....Pages i-xv
Front Matter....Pages 1-1
Multi-objective Optimisation Using Evolutionary Algorithms: An Introduction....Pages 3-34
Multi-Objective Optimisation in Manufacturing Supply Chain Systems Design: A Comprehensive Survey and New Directions....Pages 35-70
State-of-the-Art Multi-Objective Optimisation of Manufacturing Processes Based on Thermo-Mechanical Simulations....Pages 71-133
Front Matter....Pages 135-135
Many-Objective Evolutionary Optimisation and Visual Analytics for Product Family Design....Pages 137-159
Product Portfolio Selection of Designs Through an Analysis of Lower-Dimensional Manifolds and Identification of Common Properties....Pages 161-187
Multi-objective Optimisation of a Family of Industrial Robots....Pages 189-217
Multi-objective Optimisation and Multi-criteria Decision Making for FDM Using Evolutionary Approaches....Pages 219-247
Front Matter....Pages 249-249
A Setup Planning Approach Considering Tolerance Cost Factors....Pages 251-277
Preference Vector Ant Colony System for Minimising Make-span and Energy Consumption in a Hybrid Flow Shop....Pages 279-304
Intelligent Optimisation for Integrated Process Planning and Scheduling....Pages 305-324
Distributed Real-Time Scheduling by Using Multi-agent Reinforcement Learning....Pages 325-342
A Multiple Ant Colony Optimisation Approach for a Multi-objective Manufacturing Rescheduling Problem....Pages 343-361
Front Matter....Pages 363-363
Reconfigurable Facility Layout Design for Job-Shop Assembly Operations....Pages 365-384
A Simulation Optimisation Framework for Container Terminal Layout Design....Pages 385-400
Simulation-Based Innovization Using Data Mining for Production Systems Analysis....Pages 401-429
Multi-objective Production Systems Optimisation with Investment and Running Cost....Pages 431-453
Supply Chain Design Using Simulation-Based NSGA-II Approach....Pages 455-491
Back Matter....Pages 493-502

✦ Subjects

Manufacturing, Machines, Tools; Simulation and Modeling; Computer-Aided Engineering (CAD, CAE) and Design