Conceptualizing manufacturing flexibility: An operational approach and a comparative evaluation

Kahyaoglu, Yasemin; Kayalıgil, Sinan

doi:10.1080/00207540210122248

Cited by 14 publications

(2 citation statements)

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“…Braglia and Petroni (2000) reported that there is a lack of comprehensive measures for flexibility. Measures to assess flexibility provide a tool for managers to evaluate environmental threats to performance (Kahyaoglu and Kayaligil, 2002). The ability to measure manufacturing flexibility is important for organizations to both understand and improve flexibility (Gerwin, 1993b).…”

Section: Discussionmentioning

confidence: 99%

Development of a manufacturing flexibility hierarchy through factor and cluster analysis

Larso

Doolen

Hacker

2009

Journal of Manufacturing Technology Management

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PurposeThe ability of production organizations to respond quickly to changes in the market with new products requires flexibility. The relationship between manufacturing flexibility and the performance of organizations in new product development is not well characterized. The purpose of this paper is to develop and test a flexibility model focused on new product performance in manufacturing organizations empirically in one industrial sector.Design/methodology/approachHypothesized relationships between manufacturing flexibility, new product type, and new product performance are empirically tested using survey data from 273 companies, representing a range of US electronic manufacturers.FindingsFactor and cluster analysis identifies eight distinct flexibility dimensions and a hierarchy among these dimensions. The relationships between the identified flexibility dimensions and new product performance, as tested through correlation analyses, are found to be dependent on the type of new product development.Research limitations/implicationsOverall, this study highlights the complexity of the relationship between manufacturing flexibility and new product performance. This study is conducted in a specific sector, so the results cannot be generalized. More complex mathematical models, requiring a larger data set, would be helpful in further separating out direct and indirect effects of variables, such as new product type, on the relationship between flexibility and performance.Practical implicationsWith multiple dimensions of flexibility, organizational leaders must choose the dimension(s) that is/are most appropriate to develop. This study helps provide insight into which dimensions of flexibility a particular plant should focus on, given a particular type of new product.Originality/valueThe study has made a significant contribution by identifying the dimensions of flexibility related to new product performance and in proposing a hierarchical structure for these dimensions. This study has also made a contribution by providing empirical support for the role of new product type as a moderator in the flexibility/performance relationship.

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Section: Discussionmentioning

confidence: 99%

Development of a manufacturing flexibility hierarchy through factor and cluster analysis

Larso

Doolen

Hacker

2009

Journal of Manufacturing Technology Management

View full text Add to dashboard Cite

show abstract

“…If there is a probability distribution of future business needs, it is possible to assess the likelihood of adapting the employees' working hours to these needs. However, this implies evaluating the risk of not being able to cope with needs and not the flexibility of the system (Kahyaoglu and Kayaligil, 2002). When work is scheduled for future periods, a forecast of needs is normally used.…”

Section: Introductionmentioning

confidence: 99%