Abstract
Traditional manufacturing has relied on dedicated mass-production systems to achieve high production volumes at low costs. As living standards improve and the demands for new consumer goods rise, manufacturing flexibility gains prominence as a strategic tool for rapidly changing markets. Flexibility, however, cannot be properly incorporated in the decision-making process if it is not well defined and measured in a quantitative manner. Flexibility in its most rudimentary sense is the ability of a manufacturing system to respond to changes and uncertainties associated with the production process (Miettinenet al., 2010; Kumar and Sridharan, 2009; Das et al., 2009). A comprehensive classification of eight flexibility types was proposed in Browne et al. (1984).
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Fazlollahtabar, H., Saidi-Mehrabad, M. (2015). Markovian Model for Multiple AGV System. In: Autonomous Guided Vehicles. Studies in Systems, Decision and Control, vol 20. Springer, Cham. https://doi.org/10.1007/978-3-319-14747-5_10
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DOI: https://doi.org/10.1007/978-3-319-14747-5_10
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