GENETIC ALGORITHM BASED INVENTORY CONTROL AND MANAGEMENT SYSTEM

Abstract

The success of any business hinges on its ability to meet customer expectations. Meeting customers’ expectation has to do with the ability to deliver the right products and services to the right place and people and it is strongly reliant on an effective and functional inventory system. Inventory control and management process has evolved as a critical requirement for business success in view of the rising demand from customers, flourishing merchandise portfolios and broadening supply chains. On this note, this research presents a Genetic Algorithm model for inventory control and management. The conceptualization of the system adopted measures for integrated access control, user authentication, authorization and confidentiality as well as encryption-based data integrity, availability and non-repudiation. The operational flow of the proposed system requires proven analysis of the existing records for the attainment of functional and fruitful inventory management. The analysis begins with numerous orders whose confirmation is through some previous order sets and taking the stock levels for the existing delivering sequence for the various products. The experimental study of the system confirmed its high adequacy of 78.5% precision, 87.1% recall, 83% F1 Score, 37% specificity and 62% balance accuracy