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Measuring dimensions of manufacturing flexibility [An article from: Journal of Operations Management]
Book Details
Author(s)L.L. Koste, M.K. Malhotra, S. Sharma
PublisherElsevier
ISBN / ASINB000RR0GX2
ISBN-13978B000RR0GX2
AvailabilityAvailable for download now
MarketplaceUnited States 🇺🇸
Description
This digital document is a journal article from Journal of Operations Management, published by Elsevier in 2004. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
Even though many managers and academics have cited flexibility as a key competitive capability, efforts to measure and understand this complex construct continue. Consequently in this paper, we address the issue of manufacturing flexibility measurement, and then use these measures to better understand flexibility. Churchill's [J. Market. Res. 16 (1979) 64] paradigm is used to develop psychometrically sound measures for six oft-used dimensions of manufacturing flexibility: machine, labor, material handling, mix, new product, and modification. Previous research shows that each of these dimensions, in turn, is comprised of four elements. The resulting 24 scales (6 dimensionsx4 elements) demonstrate the desired properties of unidimensionality, reliability, and validity. We show further that the four elements of any given manufacturing flexibility dimension can be grouped into two conceptually separate factors representing ''Scope'' and ''Achievability'' of flexible responses. Scope and achievability factor scores can be used to compare a subset of firms with respect to their flexibility choices, and observe the trade-offs firms make both within and across flexibility dimensions. Along with scale development, establishing scope versus achievability relationships between flexibility elements provides a better basis for measuring and creating a holistic understanding of this complex concept.
Description:
Even though many managers and academics have cited flexibility as a key competitive capability, efforts to measure and understand this complex construct continue. Consequently in this paper, we address the issue of manufacturing flexibility measurement, and then use these measures to better understand flexibility. Churchill's [J. Market. Res. 16 (1979) 64] paradigm is used to develop psychometrically sound measures for six oft-used dimensions of manufacturing flexibility: machine, labor, material handling, mix, new product, and modification. Previous research shows that each of these dimensions, in turn, is comprised of four elements. The resulting 24 scales (6 dimensionsx4 elements) demonstrate the desired properties of unidimensionality, reliability, and validity. We show further that the four elements of any given manufacturing flexibility dimension can be grouped into two conceptually separate factors representing ''Scope'' and ''Achievability'' of flexible responses. Scope and achievability factor scores can be used to compare a subset of firms with respect to their flexibility choices, and observe the trade-offs firms make both within and across flexibility dimensions. Along with scale development, establishing scope versus achievability relationships between flexibility elements provides a better basis for measuring and creating a holistic understanding of this complex concept.
