|
VGTU talpykla >
Statybos fakultetas / Faculty of Civil Engineering >
Moksliniai straipsniai / Research articles >
Please use this identifier to cite or link to this item:
http://dspace.vgtu.lt/handle/1/3857
|
Title: | A Novel Rough WASPAS Approach for Supplier Selection in a Company Manufacturing PVC Carpentry Products |
Authors: | Stojic, Gordan Stevic, Željko Antuchevičienė, Jurgita Pamučar, Dragan Marko Vasiljevic, Marko |
Keywords: | rough number rough weighted aggregated sum product assessment (WASPAS) rough analytical hierarchical process (AHP) multiple criteria decision making (MCDM) supplier |
Issue Date: | 2018 |
Publisher: | MDPI |
Citation: | Stojić, G.; Stević, Ž.; Antuchevičienė, J.; Pamučar, D.; Vasiljević, M. A Novel Rough WASPAS Approach for Supplier Selection in a Company Manufacturing PVC Carpentry Products. Information 2018, 9, 121. |
Series/Report no.: | 9;5 |
Abstract: | The decision-making process requires the prior definition and fulfillment of certain factors, especially when it comes to complex areas such as supply chain management. One of the most important items in the initial phase of the supply chain, which strongly influences its further flow, is to decide on the most favorable supplier. In this paper a selection of suppliers in a company producing polyvinyl chloride (PVC) carpentry was made based on the new approach developed in the field of multi-criteria decision making (MCDM). The relative values of the weight coefficients of the criteria are calculated using the rough analytical hierarchical process (AHP) method. The evaluation and ranking of suppliers is carried out using the new rough weighted aggregated sum product assessment (WASPAS) method. In order to determine the stability of the model and the ability to apply the developed rough WASPAS approach, the paper analyzes its sensitivity, which involves changing the value of the coefficient λ in the first part. The second part of the sensitivity analysis relates to the application of different multi-criteria decision-making methods in combination with rough numbers that have been developed in the very recent past. The model presented in the paper is solved by using the following methods: rough Simple Additive Weighting (SAW), rough Evaluation based on Distancefrom Average Solution (EDAS), rough MultiAttributive Border Approximation area Comparison (MABAC), rough Višekriterijumsko kompromisno rangiranje (VIKOR), rough MultiAttributiveIdeal-Real Comparative Analysis (MAIRCA) and rough Multi-objective optimization by ratio analysis plus the full multiplicative form (MULTIMOORA). In addition, in the third part of the sensitivity analysis, the Spearman correlation coefficient (SCC) of the ranks obtained was calculated which confirms the applicability of all the proposed approaches. The proposed rough model allows the evaluation of alternatives despite the imprecision and lack of quantitative information in the information-management process |
Description: | This article belongs to the Special Issue Multiple-Criteria Decision-Making (MCDM) Techniques for Business Processes Information Management |
URI: | http://dspace.vgtu.lt/handle/1/3857 |
ISSN: | 2078-2489 |
Appears in Collections: | Moksliniai straipsniai / Research articles
|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
|