2012
DOI: 10.5267/j.ijiec.2012.01.003
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Weighted Euclidean distance based approach as a multiple attribute decision making method for plant or facility layout design selection

Abstract: In response to increasing inflexible customer demands and to improve the competitive advantage, industrial organizations have to adopt strategies to achieve cost reduction, continual quality improvement, increased customer service and on-time delivery performance. Selection of the most suitable plant or facility layout design for an organization is one among the most important strategic issues to fulfill all these above-mentioned objectives. Nowadays, many industrial organizations have come to realize the impo… Show more

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Cited by 25 publications
(4 citation statements)
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“…We identified and applied twelve MADM methods to assess the data matrix and rank the RHEAs. These methods include the additive ratio assessment method (ARAS) [44], complex proportional assessment (COPRAS) [45], measurement of alternatives and ranking according to compromise solution (MARCOS) [46], multi-attribute utility theory (MAUT) [47], multi-objective optimization on the basis of ratio analysis (MOORA) [48], operational competitiveness ratio (OCRA) [49], preference selection index (PSI) [50], range of value method (ROVM) [51], simple additive weighting (SAW) [52], technique of order preference by similarity to ideal solution (TOPSIS) [45,53], multi-criteria optimization and compromise solution (VIKOR) [45,54] (known as vIse kriterijumska optimizacija kompromisno resenje in Serbian), and weighted euclidean distance-based approach (WEDBA) [55]. This comprehensive set of methods enables a thorough evaluation of the RHEAs and facilitates a robust ranking based on their suitability for the intended application.…”
Section: Rankingmentioning
confidence: 99%
“…We identified and applied twelve MADM methods to assess the data matrix and rank the RHEAs. These methods include the additive ratio assessment method (ARAS) [44], complex proportional assessment (COPRAS) [45], measurement of alternatives and ranking according to compromise solution (MARCOS) [46], multi-attribute utility theory (MAUT) [47], multi-objective optimization on the basis of ratio analysis (MOORA) [48], operational competitiveness ratio (OCRA) [49], preference selection index (PSI) [50], range of value method (ROVM) [51], simple additive weighting (SAW) [52], technique of order preference by similarity to ideal solution (TOPSIS) [45,53], multi-criteria optimization and compromise solution (VIKOR) [45,54] (known as vIse kriterijumska optimizacija kompromisno resenje in Serbian), and weighted euclidean distance-based approach (WEDBA) [55]. This comprehensive set of methods enables a thorough evaluation of the RHEAs and facilitates a robust ranking based on their suitability for the intended application.…”
Section: Rankingmentioning
confidence: 99%
“…Conventional compensatory models include simple additive weighting (SAW) [41], weighted sum model (WSM) [42], weighted product model (WPM) [43], the technique for order preferences by similarity to an ideal solution (TOPSIS) [44], analytical hierarchy process (AHP) [45,46], and vlsekriterijumska optimizacija kompromisno resenje (VIKOR) [47]. Newer compensatory methods include the weighted distance-based approximation (WDBA) [48], weighted aggregated sum product assessment (WASPAS) [49], evaluation based on distance from average solution (EDAS) [50], best-worst method (BWM) [51], combinative distance-based assessment (CODAS) method [52], and combined compromise solution (CoCoSo) method [53].…”
Section: Introductionmentioning
confidence: 99%
“…Literatürde WEDBA yönteminin kullanıldığı çalışmalar ele alınan konu kapsamında şu şekildedir. Rao ve Singh (2012), tesis yerleşim tasarımı seçimi problemi için WEDBA yöntemini önermiştir. Gupta vd.…”
Section: Introductionunclassified