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The Scientific World Journal - Volume 2014 2014, Article ID 949527, 10 pages -

Research ArticleDepartment of Information & Industrial Engineering, Yonsei University, 50 Yonsei-ro, Sinchon-dong, Seoul 120-749, Republic of Korea

Received 24 January 2014; Accepted 11 March 2014; Published 23 April 2014

Academic Editors: E. K. Aydoğan, J. G. Barbosa, and D. Oron

Copyright © 2014 Jinmo Sung and Bongju Jeong. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This study aims to improve the efficiency of disassembly planning in remanufacturing environment. Even though disassembly processes are considered as the reverse of the corresponding assembly processes, under some technological and management constraints the feasible and efficient disassembly planning can be achieved by only well-designed algorithms. In this paper, we propose a heuristic for disassembly planning with the existence of disassembled part-subassembly demands. A mathematical model is formulated for solving this problem to determine the sequence and quantity of disassembly operations to minimize the disassembly costs under sequence-dependent setup and capacity constraints. The disassembly costs consist of the setup cost, part inventory holding cost, disassembly processing cost, and purchasing cost that resulted from unsatisfied demand. A simple but efficient heuristic algorithm is proposed to improve the quality of solution and computational efficiency. The main idea of heuristic is to divide the planning horizon into the smaller planning windows and improve the computational efficiency without much loss of solution quality. Performances of the heuristic are investigated through the computational experiments.





Autor: Jinmo Sung and Bongju Jeong

Fuente: https://www.hindawi.com/



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