FEOQ model with octagonal fuzzy demand rate and optimize with signed distance method

Uncertainties in the stock control system development is one of the main

concerns of researchers, several studies has been done in this research

field with different fuzzy numbers by using different defuzzification

methods. In this present article, at first, we have studied the scenario of

increasing demand rate with the time and shortage are fully backlogged. Due

to some reasons, there is flexible(uncertain) demand rate for the

production, so the demand rate has to be taken as octagonal fuzzy number and

the model converted into fuzzy model. The purpose of presented model is to

optimize the total inventory cost in both the crisp and the fuzzy

situations. The designated model included with Signed distance method for an

appropriate numerical example, sensitivity analysis and graphical

illustration for better explanation of the article.