Akshay M. Deshpande
Dr. Sudhir M. Patil
Dr. Maneetkumar R. Dhanvijay
Abstract
The aviation grade titanium sponge and its alloy makers are few in number. In the times of increased requirements, the makers guarantee to work close to full limit use. In the course of decreased demand the makers battle to stay beneficial. Moreover, the assembling measures for aviation category titanium composites requires huge investments & require extended lead times to attain new limit. The mix of this element regularly brings about an unyielding titanium compound raw material supply chain for the aerospace and defence industry. Simultaneously, aerospace and defence industry experience an assortment of uncommon however troublesome circumstances inside the supply network that influence their crude material necessities. Instances of this problematic occasions incorporate client drop-in demand, producing complexities bringing about rejected material, and lack of planning. To ensure the structure and supplementary part clients from delaying dispatch because of extended lead times crude materials, aerospace and defence industry holds a safety stock of different titanium alloy crude material. This paper presents a numerical methods using a Poisson distribution for titanium alloy inventory and normal distribution for the demand that can be utilized to improve the measure of key titanium strategic crude material clenched by aerospace and defence industry. The chi square goodness of fit test is used to validate the data whether the arrival of events follows the Poisson distribution or not. The calculated value for chi square is 0.711 and the value obtained from table is 3.843 which is greater than the calculated one therefore there is an evidence that arrival of events follows the Poisson distribution. The related numerical calculations were customized into Microsoft Excel making the Strategic crude Material Inventory Calculator which can be used for optimizing the eight titanium alloy material at different service levels (95%, 99.5% etc.).
Keywords- Supply Chain, Aviation, Titanium, Strategic Inventory, Safety Stock, Disruptive Events.