An extended review on disassembly line balancing with bibliometric &amp; social network and future study realization analysis

Deniz, Nurcan; Özçelik, Feriştah

doi:10.1016/j.jclepro.2019.03.188

Cited by 53 publications

(14 citation statements)

References 62 publications

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“…Wolfswinkel et al (2013) presented GTLRM has a five-stage process comprised of definition of criteria for inclusion and exclusion of articles, a search for studies, selection of a sample of studies to be reviewed, analysis of the data and presentation of the content of articles. However, recently, researchers like Deniz and Ozcelik (2019) reduced the five-step process into three stages by combining the second and third steps and the fourth and fifth steps. In this study, we adopted Deniz and Ozcelik's (2019) three-stage GTLRM process (Figure 1), which involves (1) literature search and collection, (2) definition and refinement of inclusion and exclusion criteria, and (3) analysis and synthesis of refined articles using a quantitative bibliometric analysis method (in this case, co-occurrence analysis) to articulate, integrate and refine the categories.…”

Section: Methodsmentioning

confidence: 99%

Unearthing the response pattern of COVID-19 research in social sciences

Singh

Verma

2021

IJSSP

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PurposeThe sudden onset of COVID-19 has brought about a watershed moment in the current research across all disciplines. As it has impacted almost all aspects of human existence, academicians are aggressively trying to understand the phenomenon from multidisciplinary perspectives. In this regard, the present study attempts to provide an in-depth understanding of academia's response pattern in the field of social sciences using a grounded theory literature review and bibliometric analysis.Design/methodology/approachThe present study analyzed 395 research articles on the pandemic phenomenon, yielding five main themes and 11 sub-themes.FindingsThe emergent research themes are global impact on public health, the influence of COVID-19 on workplace functioning, global governance in COVID-19, research ethics in scholarly works and the influence of COVID-19 on demography.Originality/valueDrawing from these themes, the authors provide propositions, policy implications and future research directions.

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Section: Methodsmentioning

confidence: 99%

Unearthing the response pattern of COVID-19 research in social sciences

Singh

Verma

2021

IJSSP

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“…Miscellaneous solution methodologies were proposed for disassembly line balancing problems (Deniz & Ozcelik, 2019;Gungor & Gupta, 1999;Mehmet Ali Ilgin & Gupta, 2010;Özceylan, Kalayci, Güngör, & Gupta, 2019). Among these methodologies, heuristics received increasing attention of researchers.…”

Section: Introductionmentioning

confidence: 99%

Disassembly Line Balancing by Using Simulation Optimization

Akpınar

Ilgın

Aktaş

2021

Alphanumeric Journal

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Increasing environmental awareness in today's society and stricter environmental regulations have forced manufacturing firms to take necessary actions for the recovery of end-of-life (EOL) products through different options (e.g., recycling, remanufacturing,). Disassembly is regarded as a critical operation in EOL treatment of used products since all product recovery options require the disassembly of EOL products at certain levels. This critical operation is generally carried out by forming disassembly lines in product recovery facilities. Miscellaneous methodologies based on heuristics, metaheuristics and mathematical programming have been proposed for the balancing of disassembly lines. Majority of those methodologies assume that disassembly line parameters are deterministic by ignoring the fact that a disassembly line involves great deal of uncertainty mainly due to uncertain conditions of arriving EOL products. Considering this high level of uncertainty, simulation modeling can be an effective tool for the modeling of disassembly lines. In this study, a simulation-based disassembly line balancing methodology is proposed for the explicit consideration of stochastic parameters. First, simulation model of a disassembly line is constructed. Since the disassembly line balancing problem has a combinatorial nature, two commonly used metaheuristics (i.e., genetic algorithms (GAs) and simulated annealing (SA)) are integrated with the simulation model in order to balance the disassembly line. The disassembly sequence and task assignments proposed by GA are compared with the sequence and task assignments proposed by SA. This comparison indicates that GA outperforms SA in four of eight performance measures while both algorithms have the same value for line efficiency measure.

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“…It is noted here that a more comprehensive and detailed review of the DLBP papers can be found in [82] and [83].…”

Section: Introductionmentioning

confidence: 99%

Balancing Disassembly Line Under Hazardous Parts with Precise and Fuzzy Goals

Hezer

Kara

2021

Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi

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ÖzetDisassembly is one of the steps of the recovery activities. Since it includes expensive processes, disassembly shoul be performed with the system that provides efficient and effective outputs. A disassembly line is the most suitable system for disassembly of the returned products. A disassembly line balancing problem (DLBP) is assigning disassembly tasks to consecutive workstations by satisfying a series of constraints and optimizing one or more than one goal. In this paper, the DLBP with multiple conflicting goals which takes into account the negative zone (DLBP-Z) constraints has been proposed. Negative zone constraint is related to hazardous parts. If there are hazardous part/parts in the product and they need to be removed, they may damage the othetr parts and disassembly line. Therefore, these parts must be assigned to different stations from the other parts. Goal programming (GP) and fuzzy goal programming (FGP) approaches have been proposed in order to optimize three conflicting goals, namely total net recovery profit value, the number of parts to be removed for recycling and cycle time.Through a numerical example, the proposed approaches have been tested and goal programming formulations have been shown to be valid and useful. To the best of the authors knowledge, the proposed GP and FGP models are the first multi citeria decision making (MCDM) approaches for DLBP-Z.

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An extended review on disassembly line balancing with bibliometric & social network and future study realization analysis

Cited by 53 publications

References 62 publications

Unearthing the response pattern of COVID-19 research in social sciences

Unearthing the response pattern of COVID-19 research in social sciences

Disassembly Line Balancing by Using Simulation Optimization

Balancing Disassembly Line Under Hazardous Parts with Precise and Fuzzy Goals

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