Affiliations: [a] Faculty of Mechanical Enigneering, University of Belgrade, Belgrade, Serbia
| [b] Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia
Correspondence:
[*]
Corresponding author. Marija Milanovic, Faculty of Mechanical Enigneering, University of Belgrade, Kraljice Marije 16, 11000 Belgrade, Serbia, E-mail: [email protected].
Abstract: In this paper, we consider the problem of determining the optimal production quantity under uncertainties. The treated problem has a critical effect on the achievement of business goals, which further propagates to the competitive advantage of manufacturing company. The considered problem is stated as the fuzzy linear programming task. The objective function is defined as the maximization of all profit over the time period. The set of constraints consists of constraints deriving from the enterprise (available capacities) and from the market (demand). The fuzzy rating coefficient values of objective function of each pair of the considered products are described by linguistic expressions which are modelled by triangular fuzzy numbers. Handling of uncertainties of the stated fuzzy pair-wise comparison matrix is performed by using the extent analysis. The right-hand-side values of the capacity constraints are determined by decision makers and modelled by the triangular fuzzy numbers. The market constraint values are given according to evidence data. Determination of the optimal quantities of considered products for each time period is based on the concept of equal possibilities. The proposed model is illustrated by an example with real-life data.
Keywords: Production plan, fuzzy set, fuzzy analytic hierarchy process, fuzzy linear programming
