RETRACTED ARTICLE: An innovative framework to forecast the best inventory management system module by hesitant fuzzy VQA-TOPSIS technique for textile industry

The textile industry has major attributes to evaluate which is reeling under manifold problems. utmost issue the erratic nature of supply and demand. Textile scheduling problems because its multi-production business like weaving, dyeing, wrap making, cloth cutting due combination make-to-stock make-to-order production. These specific characters make production strategy planning, control a difficult task. Another complexity distribution products where certain collections are limited by time, season, market, quantities during sales. To meet complication, management needs be employed. Hence, rationale article develop examine best inventory system for in terms basic control, barcoding, accounting integration, demand forecasting, lot tracking, bundled kits. scope covers measuring feature change planning future uncertain levels. A multi-objective criteria decision-making (MOACDM) method implemented hesitant fuzzy vector quantified attribute-TOPSIS (FHVQAT) system. matrix formed, normalized, multiplied concerning criterion weights. multi-criteria (MCDM) analyzed, positive-ideal (PIS) negative-ideal solutions (NIS) found, distance each alternative calculated obtaining correct solution. Finally, good alternatives positioned dependent on their relative closeness perfect arrangement. As result, we found out proposed approach useful practical other MCDM novelty VQA-TOPSIS can highly large-scale issues as regularly within