In this study, a product design problem of a company operating in the beverage sector was handled and solved for the first time in the literature by Fuzzy Axiomatic Design (BAT) and Goal Programming approaches. It was aimed at the product to be designed does not cause a change in the current line specifications, keep the production speed to a certain level and also address customer satisfaction at the same time. Customer satisfaction goal was expressed by fuzzy data in order to better express the natural decision-making processes of human. In the study, fuzzy data belonging to customer satisfaction were defuzzified by BAT technique and the obtained values were entered as a parameter to a mixed integer nonlinear goal programming model which considers three goals. The values of certain parameters of the final product were obtained from the solution of the model. The brimful capacity of the designed bottle was calculated according to these values. Depending on the brimful capacity, it can be understood whether the new design meets the specifications of the production line, the average value of the production speed and the satisfaction of the customer. Through the proposed solution approach, the problem was dealt with analytically. The trial and error method used by the company was abandoned to save both the labor force and the mold and preform costs.
Primary Language | Turkish |
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Subjects | Industrial Engineering |
Journal Section | Research Articles |
Authors | |
Publication Date | June 25, 2020 |
Submission Date | May 7, 2019 |
Acceptance Date | June 8, 2020 |
Published in Issue | Year 2020 |