scholarly journals Heuristic solution methods for the selective disassembly sequencing problem under sequence-dependent costs

2021 ◽  
Vol 127 ◽  
pp. 105151
Author(s):  
Jully Jeunet ◽  
Federico Della Croce ◽  
Fabio Salassa
2007 ◽  
pp. 251-267 ◽  
Author(s):  
Mukul Tripathi ◽  
Shubham Agrawal ◽  
M Tiwari

Author(s):  
Ahmed ElSayed ◽  
Elif A. Kongar ◽  
Surendra M. Gupta

Electronic products enter the waste stream rapidly due to technological enhancements. Their parts and material recovery involve significant economic and environmental gain. To regain the value added to such products a certain level of disassembly may be required. Disassembly operations are often expensive and the complexity of determining the best disassembly sequence increases as the number of parts in a product grows. Therefore, it is necessary to develop methodologies for obtaining optimal or near optimal disassembly sequences to ensure efficient recovery process. To that end, this chapter introduces a Genetic Algorithm based methodology to develop disassembly sequencing for end-of-life products. A numerical example is presented to provide and demonstrate better understating and functionality of the algorithm.


2015 ◽  
Vol 813-814 ◽  
pp. 1165-1169
Author(s):  
B. Josephin Sajo ◽  
J. Jayaprakash

Disassembly sequence planning not only reduces product life cycle cost, but also greatly influences environmental impact. Industrial recycling and remanufacturing involves product disassembly to retrieve the desired parts and/or subassemblies by separating a product into its constituents. Disassembly has recently gained a great deal of attention in the literature due to its role in product recovery. Disassembly sequencing and planning is more challenging than assembly because its terminal goal is not necessarily fixed, but may depend on product usage and market demands for used parts and recycled materials. Moreover, disassembly is accompanied by more uncertainty in system structures and component conditions than is assembly. This paper presents recent methods for sequencing and process planning in disassembly and the applications to industrial products. This research is aimed at determining the optimal disassembly sequence as well as the helps to find the sequence dependent cost.


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