An effective methodology for cell formation and intra-cell machine layout design in cellular manufacturing system using parts visit data and operation sequence data

Raja, S.; Anbumalar, V.

doi:10.1007/s40430-014-0280-6

Cited by 16 publications

(7 citation statements)

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“…Sule [16] devised a method for calculating the total number of machines. Raja and Anbumalar [17] proposed a new heuristic technique based on a modified flow matrix to tackle the situation of cell formation and machine layout design. The operation sequence and quantity of component visits among the data were employed as inputs by these researchers in their analysis.…”

Section: Literature Surveymentioning

confidence: 99%

A Comparative Study of Integrating Feasibility Assessment and Cell Formation Problem Using Modified Similarity Coefficient Method

2022

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The focus of this research is on cellular manufacturing systems based on group technology concepts. The primary goal of CM is to organize machines and parts into cells and families. The cell creation problem is the focus of the majority of suggested models, algorithms, and approaches. Only a few people have thought about the feasibility study and the cell formation issue. A new similarity coefficient strategy for handling cell formation challenges in cellular manufacturing is proposed along with operation sequence in this research. Three strategies are used to integrate a feasibility assessment with the cell formation challenge in this study. This study takes into account performance indicators such as the percentage of Exceptional Elements (PE), Machine Utilization (MU), Bond Efficiency (BE), Grouping Technology Efficiency (GTE), and Efficiency of Intra-cell Movements (EIM). The proposed similarity coefficient approach is used to identify the optimal number of cells before generating a cell formation. The proposed method has been tested on some of the most well-known cases in the literature, such as real-occasion industrialized data. The computational findings show that in the majority of the situations, the proposed similarity coefficient approach produces the best outcomes. The suggested technique is evaluated to two familiar clustering approaches, Rusell & Rao and the ROC algorithm, which were chosen from the literature. Five performance measures are used for comparison and evaluation. Finally, the data are analyzed to see if the proposed similarity coefficient approach can be tested and validated. The results show that using the novel similarity coefficient approach produces results that are on par with or better than those obtained using other clustering methods.

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Section: Literature Surveymentioning

confidence: 99%

A Comparative Study of Integrating Feasibility Assessment and Cell Formation Problem Using Modified Similarity Coefficient Method

2022

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“…Gohal et al (2013) have developed a novel operation sequence-based bypassing moves and idle machines (BMIM) similarity coefficient by longest common subsequence (LCS) and the minimum number of bypassing moves and the quantity of idle machines. Inter-cell movement, backward movements, number of voids and number of process-based CLASSPAVI approach for cell formation and cell layout formation was proposed by Raja and Anbumalar (2016b). They also developed a MGTE as new performance measure.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The performance measure is more important to measure the quality of the proposed approaches. Raja and Anbumalar (2016b) have developed a MGTE for measuring the quality of the solution. MGTE considers backward movements, intercellular movements, compactness within the cells and actual possible intercellular movements.…”

Section: Modified Group Technology Efficacymentioning

confidence: 99%

“…To measure the quality of the solution by using MGTE proposed by Raja and Anbumalar (2016b), the solution offered in Mahdavi and Mahadevan (2008) and Nair and Narendran (1998) is compared with our proposed solution. First problem is taken from Nair and Narendran (1998) (example 1).…”

Section: Illustrated Examplementioning

confidence: 99%

“…The quality of proposed solution is measured by MGTE, which was proposed by Raja and Anbumalar (2016b). The MGTE is calculated by equation (1).…”

Section: Tablementioning

confidence: 99%

See 2 more Smart Citations

Cellular layout formation by using weighted similarity-based modified flow matrix with process sequence data

Shunmugasundaram¹,

Anbumalar

2020

IJMTM

Self Cite

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Cellular layout formation (CLF) is an important problem in the design of a cellular manufacturing system (CMS). From the previous studies, most of the researchers have used machine part incidence matrix (MPIM) as input in CMS. In this paper, weighted similarity based modified flow matrix is proposed to solve the cell formation problem (CFP) and CLF simultaneously. The objective of our proposed approach is to group dissimilar machines based on the process sequence of different parts. Two well-known benchmark problems are selected from the literature and results are compared based on modified grouping efficacy with the existing methods. The results clearly indicated that our proposed approach outperforms the previously proposed methods.

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Similarity coefficient and TOPSIS methods for designing flexible machine cell layout: a case study of electrical and electronic industries

Dhayef,

Al-Zubaidi,

Al-Kindi

et al. 2024

Ann Oper Res

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An effective methodology for cell formation and intra-cell machine layout design in cellular manufacturing system using parts visit data and operation sequence data

Cited by 16 publications

References 47 publications

A Comparative Study of Integrating Feasibility Assessment and Cell Formation Problem Using Modified Similarity Coefficient Method

A Comparative Study of Integrating Feasibility Assessment and Cell Formation Problem Using Modified Similarity Coefficient Method

Cellular layout formation by using weighted similarity-based modified flow matrix with process sequence data

Similarity coefficient and TOPSIS methods for designing flexible machine cell layout: a case study of electrical and electronic industries

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