Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/318837 
Year of Publication: 
2024
Citation: 
[Journal:] Business Systems Research (BSR) [ISSN:] 1847-9375 [Volume:] 15 [Issue:] 1 [Year:] 2024 [Pages:] 178-200
Publisher: 
Sciendo, Warsaw
Abstract: 
Background Supplier selection has emerged as an important activity regarding strategic purchasing with implications for the operational efficiency of both organisations and supply chains. Given the need to evaluate both qualitative and quantitative criteria for different supply alternatives, the decision-making process became more complex. Objectives In the present work, an adapted Analytic Hierarchy Process model is proposed for supplier selection, which is being validated within the context of a textile company. The multi-criteria decision support model was coded in Python and encompasses criteria, cost, quality, delivery time, sustainability, and history. Methods/Approach This model allocates weights to individual suppliers based on the diverse criteria considered. Four alternatives were considered as the chemical fabric dyeing pigment suppliers. Two different scenarios were considered to understand the influence of demand on the supplier selection problem. Results The cost is the most valued criterion in the supplier selection (0.493 for Scenario 1 and 0.426 for Scenario 2). The second most important criterion for regular demand is quality (0.224), whereas, for the increased demand scenario, delivery time (0.301) is the second most impactful criterion. Conclusions The application of the AHP for both tested scenarios resulted in a different priority, highlighting the adjustment capacity of the implemented model to different search parameterisations.
Subjects: 
Supplier Selection
Multicriteria Decision Model
AHP
Textile Industry
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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