Abstract
Large scale manufacturing or construction systems are characterized by various complicated machines for different types of interrelated jobs. Machine breakdown and preventative maintenance lead to losses in production capability in manufacturing and construction industries [1]. The complexity in production planning and the construction process focuses on a search for an ideal machine utilization level [2, 3]. In fact, proper machine allocation and management can meaningfully increase productivity or construction throughput. Therefore, it is important to improve the effectiveness of machine allocation that significantly contributes to the success of a project.
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© 2014 Springer International Publishing Switzerland
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Xu, J., Zeng, Z. (2014). Fuzzy MOMSDM for Dynamic Machine Allocation. In: Fuzzy-Like Multiple Objective Multistage Decision Making. Studies in Computational Intelligence, vol 533. Springer, Cham. https://doi.org/10.1007/978-3-319-03398-3_3
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DOI: https://doi.org/10.1007/978-3-319-03398-3_3
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03397-6
Online ISBN: 978-3-319-03398-3
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