A Novel Integrated SWARA-MARCOS Model for Inventory Classification

Једноставна страница ставке
dc.citation.epage17
dc.citation.spage1
dc.citation.volume32
dc.contributor.authorMiškić, Smiljka
dc.contributor.authorStević, Željko
dc.contributor.authorTanackov, Ilija
dc.date.accessioned2023-05-26T11:51:08Z
dc.date.available2023-05-26T11:51:08Z
dc.date.issued2021
dc.description.abstractIn the field of logistics, there is a daily need for decision making, i.e. the need to solve business problems by selecting an appropriate solution. During the implementation of decision-making processes, it is necessary to find an optimal solution that will best meet the needs of companies. The selection of an optimal solution is crucial for the profitability, cost-effectiveness and long-term development of companies. The decision-making process in logistics is facilitated by applying various tools such as multi-criteria decision-making methods. In this paper, an integrated SWARA (Step-wise Weight Assessment Ratio Analysis) – MARCOS (Measurement Alternatives and Ranking according to Compromise Solution) model was developed and applied in order to classify products. Fifty alternatives, i.e. products were evaluated based on three criteria. The first criterion is the quantity of purchased products, the second criterion is the unit price of products and the third criterion is the annual value of purchase. The SWARA method was applied to determine the significance of the criteria, while the classification of products was performed using the MARCOS method. According to the results of the originally created MCDM model, the products were grouped into three categories A, B, and C. Then, a sensitivity analysis was performed using a model involving the integration of SWARA method and ABC analysis. Using this model, the classification of products into three groups was performed on the basis of the aforementioned criteria, and then a comparative analysis was conducted
dc.identifier.doi10.22068/ijiepr.32.4.5
dc.identifier.urihttps://vaseljena.ues.rs.ba/handle/123456789/217
dc.language.isoen
dc.publisherIran University of Science and Technology
dc.sourceInternational Journal of Industrial Engineering & Production Research
dc.subjectmethod; MARCOS method; ABC analysis; MCDM; Inventory classification.
dc.titleA Novel Integrated SWARA-MARCOS Model for Inventory Classification
dc.typeArticle
Датотеке
Оригинални завежљај
Сада се приказује 1 - 1 од 1
Сличица
Име:
A Novel Integrated SWARA-MARCOS Model for Inventory.pdf
Величина:
965.05 KB
Формат:
Adobe Portable Document Format
Опис:
Преузимање
Свежањ лиценце
Сада се приказује 1 - 1 од 1
Сличица
Име:
license.txt
Величина:
1.71 KB
Формат:
Item-specific license agreed to upon submission
Опис:
Преузимање
Колекције
Саобраћајни факултет [Научни радови] / Faculty of Transport and Traffic Engineering [Scientific papers]