Overview
Main description
The definitive guide to the disassembly line
The Disassembly Line: Balancing and Modeling provides in-depth information on this complex process essential to remanufacturing, recycling, and environmentally conscious manufacturing. This pioneering work offers efficient techniques required to solve problems involving the number of workstations required and the disassembly sequencing of end-of-life products on the disassembly line.
In this book, the disassembly line balancing problem (DLBP) is described, defined mathematically, and illustrated by case studies. Combinatorial optimization methodologies are presented as solutions to the DLBP.
Coverage includes:
- Graphical representations of products to be disassembled
- Computational complexity of combinatorial problems
- Description of the disassembly line and the mathematical model
- Computational complexity of the DLBP
- Combinatorial optimization searches
- Experimental instances
- Analytical methodologies
- Exhaustive search
- Genetic algorithm
- Ant colony optimization
- Greedy algorithm
- Greedy/adjacent element hill climbing hybrid
- Greedy/2-opt hybrid
- H-K heuristic
- Quantitative and qualitative comparative analysis
This authoritative volume also covers product planning, line and facility design, sequencing and scheduling, inventory, just in time, revenue, and unbalanced lines.
Table of contents
Preface; About the Authors; Acknowledgments; Table of Contents; List of Figures; List of Tables;Part I: Background; Chapter 1. Introduction; Chapter 2. Assembly Lines; Chapter 3. Disassembly Lines; Chapter 4. Literature Review; Chapter 5. Graphical Representations of Products to be Disassembled; Chapter 6. Computational Complexity in Solving Disassembly Line Problems; Chapter 7. Combinatorial Optimization Searches; Part II: Disassembly Line Balancing; Chapter 8. Disassembly Line Balancing Overview; Chapter 9. Description of the Disassembly Line and the Mathematical Model; Chapter 10. Computational Complexity of DLBP; Chapter 11. Disassembly Line Experimental Instances; Chapter 12. Analytical Methodologies; Chapter 13. Exhaustive Search; Chapter 14. Ant Colony Optimization; Chapter 15. Greedy Algorithm; Chapter 16. Greedy/Adjacent Element Hill Climbing Hybrid; Chapter 17. Greedy/2-Opt Hybrid; Chapter 18. Genetic Algorithm; Chapter 19. The Hunter-Killer General-Purpose Heuristic; Chapter 20. Quantitative and Qualitative Comparative Analysis of DLBP Heuristics; Chapter 21. Other DLBP; Part III: Further Disassembly Line Considerations; Chapter 22. Overview of Disassembly Line Problems; Chapter 23. Disassembly Line Product Planning; Chapter 24. Disassembly Line Design; Chapter 25. Disassembly Line Sequencing and Scheduling; Chapter 26. Disassembly Line Inventory; Chapter 27. Disassembly Line Just-in-Time; Chapter 28. Specialized Disassembly Line Problems; Part IV: Summary; Chapter 29. Conclusions and Future Research; Bibliography; Appendix A. Acronyms; Appendix B. Complexity Theory Background; List of Authors; Index
Author comments
Seamus McGovern Ph.D., is an Electronics Engineer
at the Volpe National Transportation Systems Center.
He concurrently holds a commission in the U.S. Navy
Reserve as an Aerospace Engineering Duty Officer, as
well as a part-time industrial engineering faculty
appointment at Northeastern University. A peer
reviewer for six scientific journals, Dr. McGovern’s
academic efforts have been recognized with the award
of four competitive fellowships, 11 merit-based scholarships,election to three scholastic honor societies,
and a national best dissertation prize.
Surendra M. Gupta, Ph.D., is a Professor of Mechanical and Industrial Engineering and the director of the Laboratory for Responsible Manufacturing, Northeastern
University. He has authored or coauthored
well over 400 technical papers published in books,
journals and international conference proceedings.
Dr. Gupta has taught over 100 courses in such areas as
operations research, inventory theory, queuing theory,
engineering economy, supply chain management, and
production planning and control. Among the many
recognitions received, he is the recipient of the Outstanding Research Award and the Outstanding Industrial
Engineering Professor Award (in recognition of
teaching excellence) from Northeastern University as
well as a national Outstanding Doctoral Dissertation
Advisor Award.
