Uninformed and probabilistic distributed agent combinatorial searches for the unary NP-complete disassembly line balancing problem

Seamus M. McGovern; Surendra M. Gupta

doi:10.1117/12.629121

4 November 2005 Uninformed and probabilistic distributed agent combinatorial searches for the unary NP-complete disassembly line balancing problem

Seamus M. McGovern, Surendra M. Gupta

Author Affiliations +

Proceedings Volume 5997, Environmentally Conscious Manufacturing V; 59970B (2005) https://doi.org/10.1117/12.629121
Event: Optics East 2005, 2005, Boston, MA, United States

Abstract

Disassembly takes place in remanufacturing, recycling, and disposal, with a line being the best choice for automation. The disassembly line balancing problem seeks a sequence which: is feasible, minimizes workstations, and ensures similar idle times, as well as other end-of-life specific concerns. Finding the optimal balance is computationally intensive due to exponential growth. Combinatorial optimization methods hold promise for providing solutions to the disassembly line balancing problem, which is proven here to belong to the class of unary NP-complete problems. Probabilistic (ant colony optimization) and uninformed (H-K) search methods are presented and compared. Numerical results are obtained using a recent case study to illustrate the search implementations and compare their performance. Conclusions drawn include the consistent generation of near-optimal solutions, the ability to preserve precedence, the speed of the techniques, and their practicality due to ease of implementation.

Citation Download Citation

Seamus M. McGovern and Surendra M. Gupta "Uninformed and probabilistic distributed agent combinatorial searches for the unary NP-complete disassembly line balancing problem", Proc. SPIE 5997, Environmentally Conscious Manufacturing V, 59970B (4 November 2005); https://doi.org/10.1117/12.629121

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available