A hybrid method for the selection of facility layout using experimental design and grey relational analysis: A case study

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dc.contributor.authorVadivel, S.M.
dc.contributor.authorSequeira, A.H.
dc.date.accessioned2026-02-05T09:29:59Z
dc.date.issued2019
dc.description.abstractIn order to improve the performance of manufacturing or service industries, most of companies adopted particular strategies among several alternatives. Facility layout design (FLD) is one among the mostly used strategy which comes under multi-objective problem. FLD increases the production by streamlining the work flow smoothly and reducing the material handling cost. This paper attempts a new hybrid multiple criteria decision-making (MCDM) method using Design of Experiment (DoE) and Grey relational analysis (GRA), known as DoE-GRA method to solve FLD problems. A case study of India speed post sorting facility layouts has been analysed to exemplify this application of DoE-GRA method. The comparison result shows that DoE-GRA method is simple and robust, fast calculation and practical. Shown results are promising for incorporating optimal method for solving layout design problem. © 2019 - IOS Press and the authors. All rights reserved.
dc.identifier.citationInternational Journal of Hybrid Intelligent Systems, 2019, 15, 2, pp. 101-110
dc.identifier.issn14485869
dc.identifier.urihttps://doi.org/10.3233/HIS-190264
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/24506
dc.publisherIOS Press BV
dc.subjectDesign of experiment
dc.subjectfacility layouts
dc.subjectgrey relational analysis
dc.subjectmail operations
dc.subjectmultiple criteria decision-making
dc.subjecttaquchi method
dc.titleA hybrid method for the selection of facility layout using experimental design and grey relational analysis: A case study

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