A fuzzy analysis approach for part‐machine grouping in cellular manufacturing systems

Al‐Ahmari, Abdulrahman

doi:10.1108/09576060210442653

Cited by 10 publications

(3 citation statements)

References 25 publications

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“…However, most literature on group technology is directed towards fully automated manufacturing cells (e.g. Al-Ahmari, 2002;Klippel et al, 1999, pp. 367-8;Onwubolu, 1998, pp.…”

Section: Research Objectivesmentioning

confidence: 99%

Group technology: Amalgamation with design of organisational structures

Dekkers

2018

International Journal of Production Economics

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Group technology has been studied extensively from an 'industrial engineering' perspective (layout, scheduling, workflow, etc.), but less often from an organisational design viewpoint. To study this implication of group technology, the approach of applied systems theory for the design of organisational structures as framework for analysis was used in three empirical cases. To increase the reliability of findings from the analysis of these three empirical cases, five more cases were drawn from archival search. Cluster analysis and product flow analysis were the methods used for forming groups of machines and employees in manufacturing cells, whereas the coding of parts was not employed to this end. Furthermore, the results indicate that the implementation of group technology generally meets shifts in performance requirements caused by competitive pressures, particularly flexibility and responsiveness, albeit the companies considered group technology only when under pressure of 'poor' business performance. However, group technology is not always a solution to challenges that companies experience; one empirical case shows that defunctionalisation and scheduling with virtual groups was more beneficial. Nevertheless, when the introduction of group technology is feasible, it also allows firms to consider delegating responsibility for production planning and scheduling to lower levels in the hierarchy and semi-autonomous groups as an alternative to 'complex' software applications (a socio-technical approach). Whereas the current study sheds some light on the relationship between group technology and design of organisational structures, further research is necessary into the design of these structures and their relationship to group technology.

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“…However, most literature on group technology is directed towards fully automated manufacturing cells (e.g. Al-Ahmari, 2002;Klippel et al, 1999, pp. 367-8;Onwubolu, 1998, pp.…”

Section: Research Objectivesmentioning

confidence: 99%

Group technology: Amalgamation with design of organisational structures

Dekkers

2018

International Journal of Production Economics

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“…Over the last two decades, many researchers studied the problem of CM (designing machine cells and part families) and developed various solution methods. Comprehensive reviews of these methods have been published (Singh [1]; Dimopoulos and Mort [2]; Al-Ahmari [3]). According to these reviews, the existing CM design methods in the CMS can be classified into the following categories: part coding analysis, cluster techniques, similarity coefficient, graph partitioning, mathematical programming, heuristic search, and AI-based approaches.…”

Section: Litterature Surveymentioning

confidence: 99%

A New Genetic Algorithm for Designing Cellular Manufacturing Systems with Labor and Tools Issues

Gharbi

Al-Ahmari

Msakni

et al. 2011

AMM

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This paper considers the problem of designing cellular manufacturing systems (CMS) with the presence of alternate process plans, tools and workers. The objective is to minimize the total costs of machine installation, operations, tools and workers with a number of identified practical constraints. A genetic algorithm is designed in order to efficiently solve medium and large sized problems. Preliminary numerical results show the worth of implementing the suggested procedure.

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“…Al-Ahmari [97] proposed a fuzzy clustering approach for selecting machine cells and part families in cellular manufacturing systems. This fuzzy approach offers a special advantage over existing clustering approaches as it presents the degree of membership of the machine or part associated with each machine cell or part family allowing users flexibility in formulating machine cells and part families.…”

Section: Applications Of Clustering Techniques In Engineeringmentioning

confidence: 99%

Clustering techniques and their applications in engineering

Pham

Afify

2007

Proceedings of the Institution of Mechanical Engineers, Part C:

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Clustering is an important data exploration technique with many applications in different areas of engineering, including engineering design, manufacturing system design, quality assurance, production planning and process planning, modelling, monitoring, and control. The clustering problem has been addressed by researchers from many disciplines. However, efforts to perform effective and efficient clustering on large data sets only started in recent years with the emergence of data mining. The current paper presents an overview of clustering algorithms from a data mining perspective. Attention is paid to techniques of scaling up these algorithms to handle large data sets. The paper also describes a number of engineering applications to illustrate the potential of clustering algorithms as a tool for handling complex real-world problems.

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A fuzzy analysis approach for part‐machine grouping in cellular manufacturing systems

Cited by 10 publications

References 25 publications

Group technology: Amalgamation with design of organisational structures

Group technology: Amalgamation with design of organisational structures

A New Genetic Algorithm for Designing Cellular Manufacturing Systems with Labor and Tools Issues

Clustering techniques and their applications in engineering

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