&lt;title&gt;2-opt heuristic for the disassembly line balancing problem&lt;/title&gt;

McGovern, Seamus M.; Gupta, Surendra M.

doi:10.1117/12.516155

Cited by 46 publications

(32 citation statements)

References 8 publications

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“…After assigning all the tasks to the workstation "table 8", it has been found that proposed heuristic requires five workstations only, those are the same as the workstations required by the heuristic proposed by McGovern and Gupta (2003), but the average idle time of the worksta- Task T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 T1 Vol 12, No 3, September 2013, pp.254-263, © 2013 tions increases. It can be seen that at the 100% cycle efficiency, the proposed heuristic can reduce the cycle time by 4 seconds, and it can reach up to 36 seconds, while the heuristic proposed by McGovern and Gupta (2003) can reduce the cycle time by only one second and reach up to 39 seconds. These findings led us to conclude that the proposed heuristic performs well and improves on the results provided by the heuristic proposed by McGovern and Gupta (2003).…”

Section: Assignment Of the Tasks To The Worktationsmentioning

confidence: 97%

“…To reduce these difficulties, a MCDM based heuristic has been proposed for prioritizing and assigning the tasks to the disassembly line workstations. Three criteria have been considered for DLBP on the basis of work done by McGovern and Gupta (2003). They are as follows: 1) Part demand: Disassembly of highly demanded parts should take place at the earliest workstation(s) possible since the longer they stay in the work-piece, the higher the chance of damaging them during the disassembly process.…”

Section: Problem Formulationmentioning

confidence: 99%

“…Industrial recycling and remanufacturing involves product disassembly to retrieve the desired parts and/or subassemblies by separating a product into its constituents, and it is gaining the importance due to increasing environmental and economic pressures. The disassembly line is the best choice for automated disassembly; therefore, it has become more important that the disassembly lines be designed and balanced so that it works as efficiently as possible Gupta, 1999b, 1999c;Lambert, 2003;McGovern and Gupta, 2003).…”

Section: Introductionmentioning

confidence: 99%

“…Disassembly is an important process in the product recovering process, and it allows for the selective separation of desired parts and materials. It has a high productivity and suitability for automation, and that is why the disassembly line is the most suitable layout for disassembly operations (Ilgin and Gupta, 2011;Guo et al, 2010;McGovern and Gupta, 2003).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A PROMETHEE Method Based Heuristic for Disassembly Line Balancing Problem

Avikal¹,

Mishra²,

Jain³

et al. 2013

Industrial Engineering and Management Systems

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Disassembly of discarded products takes place in the process of remanufacturing, recycling, and disposal. The disassembly lines have been taken as available choice for automated disassembly; therefore, it has become essential that it be designed and balanced to work efficiently. The multi-objective disassembly line balancing problem seeks to find a disassembly sequence which provides a feasible disassembly sequence, minimizes the number of workstations and idle time, and balances the line for the disassembly of post consumed product by considering the environment effects. This paper proposes a multi-criteria decision making technique based heuristic for assigning the disassembly tasks to the workstations. In the proposed heuristic, the PROMETHEE method is used for prioritizing the tasks to be assigned. The tasks are assigned to the disassembly workstations according to their priority rank and precedence relations. The proposed heuristic is illustrated with an example, and the results show that substantial improvement in the performance is achieved compared with other heuristics.

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Section: Assignment Of the Tasks To The Worktationsmentioning

confidence: 97%

Section: Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A PROMETHEE Method Based Heuristic for Disassembly Line Balancing Problem

Avikal¹,

Mishra²,

Jain³

et al. 2013

Industrial Engineering and Management Systems

View full text Add to dashboard Cite

show abstract

“…Therefore, the parts selection of non-destructive or destructive disassembly should be optimized in terms of the recycling rate and profit. On the other hand, since the precedence relationships among disassembly tasks of the product also change with the parts selection, it is required to optimize allocation of the tasks in designing a disassembly line (Avikal et al, 2013;Aydemir-Karadag and Turkbey, 2013;Kalayci and Gupta, 2013;McGovern and Gupta, 2003). In addition, because information is required for such a design, the recycling rate, profit of each part, and disassembly task times take precedence among the disassembly tasks.…”

Section: Introductionmentioning

confidence: 99%

2-Stage Optimal Design and Analysis for Disassembly System with Environmental and Economic Parts Selection Using the Recyclability Evaluation Method

Igarashi¹,

Yamada²,

Inoue³

2014

Industrial Engineering and Management Systems

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Promotion of a closed-loop supply chain requires disassembly systems that recycle end-of-life (EOL) assembled products. To operate the recycling disassembly system, parts selection is environmentally and economically carried out with non-destructive or destructive disassembly, and the recycling rate of the whole EOL product is determined. As the number of disassembled parts increases, the recycling rate basically increases. However, the labor cost also increases and brings lower profit, which is the difference between the recovered material prices and the disassembly costs. On the other hand, since the precedence relationships among disassembly tasks of the product also change with the parts selections, it is also required to optimize allocation of the tasks in designing a disassembly line. In addition, because information is required for such a design, the recycling rate, profit of each part and disassembly task times take precedence among the disassembly tasks. However, it is difficult to obtain that information in advance before collecting the actual EOL product. This study proposes and analyzes an optimal disassembly system design using integer programming with the environmental and economic parts selection (Igarashi et al., 2013), which harmonizes the recycling rate and profit using recyclability evaluation method (REM) developed by Hitachi, Ltd. The first stage involves optimization of environmental and economic parts selection with integer programming with ε constraint, and the second stage involves optimization of the line balancing with integer programming in terms of minimizing the number of stations. The first and second stages are generally and mathematically formulized, and the relationships between them are analyzed in the cases of cell phones, computers and cleaners.

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