Developed Fordyce Webster Algorithm for Solving Periodic Ordering with Fuzzy Costs

One of the most useful algorithms for inventory efficient control is the Fordyce Webster algorithm. This algorithm can solve problems with certainty parameters. In the real world, many parameters, like inflation, can change inventory costs. This article establishes an algorithm based on fuzzy inventory costs (e.g. holding costs, ordering costs, and purchase cost). These costs are fuzzy triangular numbers. A numerical example is explained. The results show that the proposed algorithm is very flexible.