RAIRO - Operations Research, Год журнала: 2024, Номер 58(5), С. 4681 - 4700

Опубликована: Авг. 16, 2024

In today’s world, businesses and, in general, supply chains have undergone extensive transformations, and relying solely on traditional metrics such as cost quality cannot provide a comprehensive complete evaluation of companies active various sections chains. One the main concerns chain managers is to create an integrated structure for evaluating performance branches. this context, study presents that, by simultaneously considering agility sustainability within context industry 4.0, which has brought about fundamental changes environment recent years, aims evaluate branches dairy product chain. On other hand, increase volume data produced development applications machine learning algorithms fields, offer better compared intuitive approaches, led use hybrid data-driven are combination expert-based methods documented organizational data, Therefore, innovative terms approach developed. first step, appropriate dimensions agility, sustainability, Industry general were identified, then fuzzy best-worth method (FBWM) was used weight metrics. According findings, data-driven, marketing, overhead costs, delivery timeframe, selected most important Subsequently, using developed artificial neural network algorithm, calculates input weights FBWM method, model presented, findings show that performs than problem with more 92% accuracy.

Язык: Английский