Heuristics method for truck disassembly process
Product recovery is an interesting topic in nowadays especially in remanufacturing industries. Remanufacturers focus on product recovery because of some valuable parts can be used in remanufacturing processes. Disassembly is an important process that extract related valuable parts or subassemb...
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主要作者: | |
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格式: | Thesis |
語言: | English English English |
出版: |
2020
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主題: | |
在線閱讀: | http://eprints.uthm.edu.my/961/1/24p%20YEOH%20KIM%20HAO.pdf http://eprints.uthm.edu.my/961/2/YEOH%20KIM%20HAO%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/961/3/YEOH%20KIM%20HAO%20WATERMARK.pdf |
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總結: | Product recovery is an interesting topic in nowadays especially in remanufacturing
industries. Remanufacturers focus on product recovery because of some valuable
parts can be used in remanufacturing processes. Disassembly is an important
process that extract related valuable parts or subassemblies and materials from
discarded products. The discarded products have high degree of uncertainty in the
structure and the quality of the returned product. Some parts of the product may
cause pollution or may be hazardous. Disassembly Line Balancing Problems
(DLBP) is the main issue that remanufacturers have to solve it during disassembly
processes. The objectives of this research is to optimize the workstation in a
disassembly line and improve the utilization of each workstation by proposed
heuristic rule. The Delmia Quest simulation software was used to validate the model
between actual disassembly line and proposed heuristic rule. The model proposed
apply heuristic rule to create better results compared to actual disassembly line in
terms of environmental focus and productivity improvement. Last but not least, the
contribution of proposed heuristic rule to remanufacturers is to increase awareness
of environmental issues in the disassembly line as well as in the productivity itself.
The results showed that by applying the heuristic rule the results are good and
improve the hazard and environmental factors. |
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