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Sustainable Manufacturing and Remanufacturing Management

Process Planning, Optimization and Applications

  • Book
  • © 2019

Overview

Editors:
  1. Weidong Li

    1. Faculty of Engineering, Environment and Computing, Coventry University, Coventry, United Kingdom

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    You can also search for this editor in PubMed   Google Scholar

  2. Sheng Wang

    1. Faculty of Engineering, Environment and Computing, Coventry University, Coventry, United Kingdom

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    You can also search for this editor in PubMed   Google Scholar

  • Discusses the latest advances in sustainable manufacturing

  • Includes remanufacturing in specific applications, such as machining process sustainability and waste electronic product remanufacturing

  • Provides several cases studies of real-world industrial applications

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Table of contents (13 chapters)

  1. Front Matter

    Pages i-xiii
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  2. Introduction

    • W. D. Li, S. Wang
    Pages 1-11

  3. Energy-aware Integrated Process Planning and Scheduling for Job Shops

    • M. Dai, D. B. Tang, Y. C. Xu, W. D. Li
    Pages 13-36

  4. A Hybrid Optimization Approach for Sustainable Process Planning and Scheduling

    • X. X. Li, W. D. Li, X. T. Cai, F. Z. He
    Pages 37-65

  5. A Systematic Approach of Process Planning and Scheduling Optimization for Sustainable Machining

    • S. Wang, X. Lu, X. X. Li, W. D. Li
    Pages 67-98

  6. Experimental Investigation and Multi-objective Optimization Approach for Low-Carbon Milling Operation of Aluminum

    • C. Y. Zhang, W. D. Li, P. Y. Jiang, P. H. Gu
    Pages 99-128

  7. Cyber-Physical System and Big Data-Enabled Scheduling Optimization for Sustainable Machining

    • Y. C. Liang, X. Lu, S. Wang, W. D. Li
    Pages 129-164

  8. Sustainable Machining Process: Qualitative Analysis and Energy Efficiency Optimization

    • L. C. Moreira, W. D. Li, X. Lu, M. E. Fitzpatrick
    Pages 165-189

  9. A Multi-granularity NC Program Optimization Approach for Energy Efficient Machining

    • X. X. Li, W. D. Li, F. Z. He
    Pages 191-212

  10. Energy Efficiency, Robustness, and Makespan Optimality in Job-Shop Scheduling Problems

    • M. A. Salido, J. Escamilla, F. Barber, A. Giret, D. B. Tang, M. Dai
    Pages 213-233

  11. A Semantic Information Services Framework for Sustainable WEEE Management Toward Cloud-Based Remanufacturing

    • Kai Xia, Liang Gao, Lihui Wang, Weidong Li, Kuo-Ming Chao
    Pages 235-257

  12. Selective Disassembly Planning for Waste Electrical and Electronic Equipment with Case Studies on Liquid Crystal Displays

    • W. D. Li, K. Xia, L. Gao, K. M. Chao
    Pages 259-283

  13. A Systematic Selective Disassembly Approach for Waste Electrical and Electronic Equipment (WEEE)

    • G. Q. Jin, W. D. Li, S. Wang, S. M. Gao
    Pages 285-318

  14. Disassembly Sequence Planning Using a Simplified Teaching-Learning-Based Optimization Algorithm

    • Kai Xia, Liang Gao, Weidong Li, Kuo-Ming Chao
    Pages 319-343

  15. Back Matter

    Pages 345-346
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Keywords

About this book

This book reports on the latest research and applications in the fields of sustainable manufacturing and remanufacturing, as well as process planning and optimization technologies. It introduces innovative algorithms, methodologies, industrial case studies and applications.


It focuses on two topics: sustainable manufacturing for machining technologies and remanufacturing of waste electronic equipment, and various methods are covered for each one, including macro process planning, dynamic scheduling, selective disassembly planning and cloud-based disassembly planning. The experimental analysis provided for every method explains the benefits, as well as how they are sustainable for various real-world applications. Further, a theoretical analysis and algorithm design is presented for each, accompanied by the contributors’ relevant research, including:


•         step-by-step guides; 
•         application scenarios; 
•         relevant literature surveys; 
•         implementation details and case studies; and 
•         critical reviews on the relevant technologies.


This book is a valuable resource for researchers in sustainable manufacturing, remanufacturing and product lifecycle management communities, as well as practicing engineers and decision-makers in industry and all those interested in sustainable product development. It is also useful reading material for postgraduates and academics wanting to conduct relevant research, and a reference resource for manufacturing engineers developing innovative tools and methodologies.


Editors and Affiliations

  • Faculty of Engineering, Environment and Computing, Coventry University, Coventry, United Kingdom

    Weidong Li, Sheng Wang

About the editors

Professor Weidong Li is a professor of Manufacturing at Coventry University, UK. He has more than twenty years’ experience in computer-aided design, manufacturing informatics, cloud manufacturing and sustainable manufacturing. His research has been sponsored by a number of research and development projects from the UK EPSRC, EU and European industries. He has published three books and more than 120 research papers.

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