Author(s):
1. SOUMIA TABIT:
Laboratory LASTIMI, CEDOC EMI, Morocco
2. AZIZ SOULHI:
National Higher School of Mines, Morocco
Abstract:
The success of a company depends on its ability to manage its supply chain. Moreover, the consumer demands and the fierce competition existing in local and international markets have pushed companies to focus on their relationships with their suppliers. The choice of the latter (suppliers) is a major stake in the supply chain and represents a key step, which can strongly impact the global performance of the company. The goal of this research is to develop a decision support model that allows companies to identify the most appropriate suppliers for their business. This model considers the various decision criteria and then ranks the suppliers according to their output indicator. For the validation of this proposed model, an experimental study was conducted to rank (03) suppliers available on the market related to the delivery of raw material for the case of a company manufacturing plastic products. The proposed model meets the desired objective and is therefore retained for the selection of the best supplier in a certain/uncertain multi-attribute and multi-actor context.
Page(s):
6073-6082
DOI:
DOI not available
Published:
Journal: Journal of Theoretical and Applied Information Technology, Volume: 100, Issue: 20, Year: 2022
Keywords:
Supply chain
,
fuzzy logic
,
supplier
,
decision support
,
Global performance
References:
References are not available for this document.
Citations
Citations are not available for this document.