Improvement in Inventory Control System to Enhance Life Cycle Assessment by transshipment method using Taguchi’s method with Genetic Algorithm

Mechanical Engineering

Inventory control has a major significance in industries for enhancement in their productivity, production timing respective industries have different departments such as quality control, forging, heat treatment process, inspection, store; material is finished and product is developed in industry and several types of inventory is generated to fulfill the customer needs. In our analysis inventory control is optimized by considering taguchi and genetic algorithm approach in respective department i.e. store room to room quality control and from room quality control to the machining line, the transshipment is used between departments , time evaluation is analyzed by considering two variables i.e. dependent variable which means the material is stored before order manually another is independent variable in which semi – finished material is produced after the order of customer, Genetic algorithm methodology is used to analyzed enhancement in optimized parameters for convergence and enhanced forecasting and is found that by applying these technique 38% of improvement with an overall error of 12% with a significance of a 0.2 in taguchi analysis was observed.

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