Analysis of the Efficiency SA (Simulated Annealing) Model and Fuzzy Time Series (Case Study: Inventory System PT Y)

Abstract

Forecasting sales and minimizing storage costs is the company's strategy to maximize inventory in anticipation of sales spikes in stores so that it can be fulfilled even though storage warehouses are limited, on the other hand there is competition among distributors in ordering goods, which is trying to get the maximum level of service from suppliers so warehouse needs can be fullfiled. By using the forecasting method, Chen Fuzzy Time Series to predict future sales combined with the simulation annealing method (simulated annealing algorithm) as an optimization method in order to obtain the lowest possible storage costs. This combination of methods can improve shipping services from warehouse to store as a result of loss sales cause inventory shortages can be controlled so that inventory costs are more minimal and warehouse storage of goods can be maximized, the combination of these methods is more effective than conventional methods available at PT Y