An automatic clustering algorithm suitable for use by a computer-based tool for the design, management and continuous improvement of cellular manufacturing systems

Baker, R. P.; Maropoulos, Paul

doi:10.1016/s0951-5240(97)00012-8

Cited by 6 publications

(1 citation statement)

References 28 publications

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“…The CELLECT tools carry out each of the three stages of cell design described above. Black Box Clustering (Baker and Maropoulos 1997) carries out the ® rst step by identifying cell con® gurations. The CELLECT Layout Tool is an easy to use cost-based algorithm to aid positioning of cells and the workstations within them, hence carrying out the second step.…”

Section: Introductionmentioning

confidence: 99%

Manufacturing capability measurement for cellular manufacturing systems

Baker¹,

Maropoulos²

1998

International Journal of Production Research

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An important element in the design and management of cellular manufacturing systems is the ability to determine capabilities. This paper describes a generic methodology of Capability Analysis (CA) which can be used for the integrated assessment of various capability factors. The main aspect of CA is the ability to compare di erent factors alongside one-another. This is done by determining priority con® dence scores (PCS values) which are capability scores (measures of performance) represented as proportions of required capability scores adjusted to take into account improvement potential, factor importance and ® nancial considerations. CA is used to form a recovery schedule of targets for improvement ranked in order of priority and is produced by ranking the PCS values for each capability level (cell, product, part, workstation and operation). Targets at a higher level can be broken down into more detailed targets at a lower level using the concept of transparency. The workings of CA are demonstrated using an example.

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Section: Introductionmentioning

confidence: 99%