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논문 기본 정보

자료유형
학술저널
저자정보
Masoud Seidi (Ilam University) Saeed Saghari (Industrial Engineering Group)
저널정보
대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems Vol.15 No.4
발행연도
2016.12
수록면
364 - 373 (10page)

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Disassembly is one of the important activities in treating with the product at the End of Life time (EOL). Disassembly is defined as a systematic technique in dividing the products into its constituent elements, segments, sub-assemblies, and other groups. We concern with a Fuzzy Disassembly Line Balancing Problem (FDLBP) with multiple objectives in this article that it needs to allocation of disassembly tasks to the ordered group of disassembly Work Stations. Tasks-processing times are fuzzy numbers with triangular membership functions. Four objectives are acquired that include: (1) Minimization of number of disassembly work stations; (2) Minimization of sum of idle time periods from all work stations by ensuring from similar idle time at any work- station; (3) Maximization of preference in removal the hazardous parts at the shortest possible time; and (4) Maximization of preference in removal the high-demand parts before low-demand parts. This suggested model was initially solved by GAMS software and then using Genetic Algorithm (GA) in MATLAB software. This model has been utilized to balance automotive engine disassembly line in fuzzy environment. The fuzzy results derived from two software programs have been compared by ranking technique using mean and fuzzy dispersion with each other. The result of this comparison shows that genetic algorithm and solving it by MATLAB may be assumed as an efficient solution and effective algorithm to solve FDLBP in terms of quality of solution and determination of optimal sequence.

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ABSTRACT
1. INTRODUCTION
2. A REVIEW ON SUBJECT LITERATURE
3. FUZZY DISASSEMBLY LINE BALANCING PROBLEM (FDLBP)
4. CASE STUDY
5. NUMERICAL RESULTS
6. DISCUSSION
7. SENSITIVITY ANALYSIS OF THE MODEL
8. CONCLUSION
REFERENCES

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