Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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Today, the effective inventory management plays an important role in the success of the organizations in the new business environment. It is not clearly possible for the organizations that store hundreds of inventory items to economically design an inventory management policy for each inventory item separately. To have an efficient control of a huge amount of inventory items, traditional approach is to classify the inventory into different groups. Different inventory control policies can then applied to different groups. The well-known ABC classification is simple to understand and easy to use. Moreover, various inventory items may play quite different roles in the business of the organization. Hence, the managers need to classify these items in order to control each inventory category properly based on its importance rating. In this thesis we consider a model of college hostel mess stores items (grocery and vegetables) for inventory management through ABC analysis. This research is composed of the following sections: In the first section, the criteria affecting the evaluation of the inventory control system of the studied mess stores and the priority of each one of them will be identified, in the second section, the priority of each criterion such as cost of item, annual demand for an each item hence find annual consumption cost in each inventory category (A, B, C) is Calculated based on conventional model, in the third section, presents an alternative way of classifying the different productive items of accompanies and this ABC model compares with the classic Pareto classification, which ranks productive items according to their importance in terms of frequency and costs whereas rankings obtained using the classical method are based on information about costs and demand over a period in the past “A-items” that result from this new classification.
M. Karthick. 2014. \u201cA Model for Managing and Controlling the Inventory of Stores Items based on ABC Analysis\u201d. Global Journal of Research in Engineering - G: Industrial Engineering GJRE-G Volume 14 (GJRE Volume 14 Issue G2): .
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
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Today, the effective inventory management plays an important role in the success of the organizations in the new business environment. It is not clearly possible for the organizations that store hundreds of inventory items to economically design an inventory management policy for each inventory item separately. To have an efficient control of a huge amount of inventory items, traditional approach is to classify the inventory into different groups. Different inventory control policies can then applied to different groups. The well-known ABC classification is simple to understand and easy to use. Moreover, various inventory items may play quite different roles in the business of the organization. Hence, the managers need to classify these items in order to control each inventory category properly based on its importance rating. In this thesis we consider a model of college hostel mess stores items (grocery and vegetables) for inventory management through ABC analysis. This research is composed of the following sections: In the first section, the criteria affecting the evaluation of the inventory control system of the studied mess stores and the priority of each one of them will be identified, in the second section, the priority of each criterion such as cost of item, annual demand for an each item hence find annual consumption cost in each inventory category (A, B, C) is Calculated based on conventional model, in the third section, presents an alternative way of classifying the different productive items of accompanies and this ABC model compares with the classic Pareto classification, which ranks productive items according to their importance in terms of frequency and costs whereas rankings obtained using the classical method are based on information about costs and demand over a period in the past “A-items” that result from this new classification.
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