- THE MAGAZINE
- WEB EXCLUSIVES
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.
- 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; Acknowledgments; Part I: Disassembly Background;Chapter 1. Introduction; Chapter 2. Assembly Lines; Chapter 3.Disassembly Lines; Chapter 4. Related Research; Chapter 5.Graphical Representations of Products to be Disassembled; Chapter 6. Computational Complexity of Combinatorial Problems; Part II: Disassembly-Line Balancing; Chapter 7. Disassembly-Line Balancing Overview; Chapter 8. Description of the Disassembly Line and the Mathematical Model; Chapter 9. Computational Complexity of DLBP; Chapter 10. Combinatorial Optimization Searches;Chapter 11. Experimental Instances; Chapter 12. Analytical Methodologies; Chapter 13. Exhaustive Search; Chapter 14.Genetic Algorithm; Chapter 15. Ant Colony Optimization; Chapter 16. Greedy Algorithm; Chapter 17. Greedy/Adjacent Element Hill-Climbing Hybrid; Chapter 18. Greedy/2-Opt Hybrid; Chapter 19. H-K Heuristic; Chapter 20. Quantitative and Qualitative Comparative Analysis; Chapter 21. Other Disassembly-Line Balancing Research;Part III: Further Disassembly-Line Considerations; Chapter 22. Overview of Additional Disassembly-Line Related Problems;Chapter 23. Disassembly-Line Product Planning; Chapter 24.Disassembly-Line Design; Chapter 25. Disassembly-Line Sequencing; Chapter 26. Disassembly-Line Inventory; Chapter 27.Disassembly-Line Just-in-Time; Chapter 28. Disassembly-Line Revenue; Chapter 29. Unbalanced Disassembly Lines; References; Appendix: Acronyms; Author Index; Subject Index
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.