Development of Subcontractor Selection Models Using Fuzzy and AHP Methods in the Apparel Industry Supply Chain
| Autor: | Mourad Lahdhiri, Mohamed Jmali, Amel Babay |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Textile industry
Computer science business.industry Chemical technology Supply chain 05 social sciences 0211 other engineering and technologies Analytic hierarchy process TP1-1185 02 engineering and technology Fuzzy logic Manufacturing engineering 021105 building & construction 0502 economics and business fuzzy model General Materials Science apparel industry supply chain business analytic hierarchy process 050203 business & management Selection (genetic algorithm) |
| Zdroj: | Autex Research Journal, Vol 21, Iss 4, Pp 413-427 (2020) |
| ISSN: | 2300-0929 |
| DOI: | 10.2478/aut-2020-0057 |
| Popis: | The subcontractor selection decision is inherently a multicriterion problem. It is a decision of strategic importance for companies. The nature of this decision is usually complex and unstructured. Management science techniques might be helpful tools for solving these kinds of decision-making problems. In this research, the fuzzy logic method and the analytic hierarchy process were applied for the selection of suitable subcontractors in an apparel supply chain. In general, many factors, such as quality level, price offer, and delivery delay, were considered to determine the most suitable and reliable subcontractors that fit the company's strategy. This survey is carried out using the database of an apparel company manufacturing denim products. |
| Databáze: | OpenAIRE |
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