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Prioritizing of agile food supply chain implementation strategies using hybrid multi-criteria fuzzy decision making

Kourosh Amirani

Prioritizing of agile food supply chain implementation strategies using hybrid multi-criteria fuzzy decision making.

Rel. Micaela Demichela, Serafim Bakalis. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Gestionale (Engineering And Management), 2023

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Abstract:

One of the biggest challenges facing organizations today is the need to respond to increasing levels of demand volatility. For a variety of reasons, product life cycle and technology have been shortened, competitive pressures have repeatedly imposed product changes, and consumer diversity has become more diverse than ever before. To address this challenge, organizations need to focus their efforts on greater agility because of agility responds to both volume and variation changes in the least amount of time. the basic criteria presented in the research model is first determined, and then according to the obtained criteria and using the chain analysis process method Fuzzy Hierarchy (AHP FUZZY), which is one of the fuzzy multi-criteria decision-making methods, weights are gFlexibility of product development, flexibility of information technology, flexibility of logistics, flexibility of logistics and flexibility of manufacturing and production. The weighted value of these five criteria shows that, from the point of view of the experts, the flexibility criterion of product development has almost 34.2% of the total relative importance. the prioritization of these strategies in the food industry company are: Information integration, process integration, customer and market promotion, network integration and collaborative management.

Relatori: Micaela Demichela, Serafim Bakalis
Anno accademico: 2022/23
Tipo di pubblicazione: Elettronica
Numero di pagine: 110
Soggetti:
Corso di laurea: Corso di laurea magistrale in Ingegneria Gestionale (Engineering And Management)
Classe di laurea: Nuovo ordinamento > Laurea magistrale > LM-31 - INGEGNERIA GESTIONALE
Aziende collaboratrici: NON SPECIFICATO
URI: http://webthesis.biblio.polito.it/id/eprint/26435
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