Knowledge management
Vahid Negintaji; Morteza Shafiee; Hilda Saleh
Abstract
The research aims to design a sustainable supply chain model to achieve world class with a fuzzy hybrid approach based on critical situation information systems. This research is developmental-applicative in terms of its purpose, and the method used is a combined method that includes historical method ...
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The research aims to design a sustainable supply chain model to achieve world class with a fuzzy hybrid approach based on critical situation information systems. This research is developmental-applicative in terms of its purpose, and the method used is a combined method that includes historical method (gathering information) and survey method (questionnaire distribution). The statistical population of this research consists of experts in the handwoven carpet industry and professors in the field of world-class production. The sampling method is purposive and model fitting was done with Dematel techniques and interpretive structural model. Based on the literature, 15 indicators were identified, which are: lean production (elimination of redundant activities), cost of materials and transportation, reduction of time to reach the market and waiting, technology and machinery and software Design tools, supply chain agility, applying honest principles in hiring local people, increasing consumer awareness to consume sustainable products, focusing on social/community welfare, insurance and pension guarantee, creating strong legal facilities to take care of industries in times of Corona, compatible production processes With environment and green distribution, ISO 14001, reverse logistics and recycling, green packaging and distribution and creating sustainable procurement strategies. The results show that based on the designed interpretative structural model, the low-level components of applying honest principles in hiring local people, focusing on the social/personal welfare of employees and issuing, creating strong legal facilities in times of Corona and environmentally friendly production processes and Green distribution has the most influence on the whole model.
Data mining
Ali Shahgharar; Majid Bagherzadeh Khajeh; Sahar khoshfetrat; Naser Faqhi Farhamand
Abstract
The current research aims to study the effectiveness of artificial intelligence (AI) on sustainable and intelligent supply chain management in the food industry of East Azarbaijan province. The use of intelligent technologies and sustainability components based on organizational knowledge in the product ...
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The current research aims to study the effectiveness of artificial intelligence (AI) on sustainable and intelligent supply chain management in the food industry of East Azarbaijan province. The use of intelligent technologies and sustainability components based on organizational knowledge in the product supply chain not only improves the information level of the supply chain but also reduces the risk of product security problems, especially perishable products, by controlling the supply chain. Also, when a product security problem occurs, companies can help solve this problem through intelligentization and knowledge management. In this research, by comparing the regression rate, which is closer to the desired number of one, and the MSE rate of the obtained error value, which is very close to zero, in the best case, the results related to one hidden layer and two neurons were selected. Then, by calculating the sum of the weights of each layer and normalizing the weights, the importance of each input layer was determined. The research results showed that the order of importance of the independent variables in the neural network structure model is cultural factors, economic factors, environmental factors, and social factors. measures to be taken by businesses to realize digital transformation.
