Determination of the optimal production plan by using fuzzy AHP and fuzzy linear programming
Апстракт
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 m...arket 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.
Кључне речи:
Production plan / fuzzy set / fuzzy linear programming / fuzzy analytic hierarchy processИзвор:
Journal of Intelligent & Fuzzy Systems, 2020, 38, 4, 4315-4325Издавач:
- IOS Press, Amsterdam
Институција/група
Inovacioni centarTY - JOUR AU - Milanović, Marija AU - Misita, Mirjana AU - Komatina, Nikola PY - 2020 UR - https://machinery.mas.bg.ac.rs/handle/123456789/3290 AB - 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. PB - IOS Press, Amsterdam T2 - Journal of Intelligent & Fuzzy Systems T1 - Determination of the optimal production plan by using fuzzy AHP and fuzzy linear programming EP - 4325 IS - 4 SP - 4315 VL - 38 DO - 10.3233/JIFS-190913 ER -
@article{ author = "Milanović, Marija and Misita, Mirjana and Komatina, Nikola", year = "2020", 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.", publisher = "IOS Press, Amsterdam", journal = "Journal of Intelligent & Fuzzy Systems", title = "Determination of the optimal production plan by using fuzzy AHP and fuzzy linear programming", pages = "4325-4315", number = "4", volume = "38", doi = "10.3233/JIFS-190913" }
Milanović, M., Misita, M.,& Komatina, N.. (2020). Determination of the optimal production plan by using fuzzy AHP and fuzzy linear programming. in Journal of Intelligent & Fuzzy Systems IOS Press, Amsterdam., 38(4), 4315-4325. https://doi.org/10.3233/JIFS-190913
Milanović M, Misita M, Komatina N. Determination of the optimal production plan by using fuzzy AHP and fuzzy linear programming. in Journal of Intelligent & Fuzzy Systems. 2020;38(4):4315-4325. doi:10.3233/JIFS-190913 .
Milanović, Marija, Misita, Mirjana, Komatina, Nikola, "Determination of the optimal production plan by using fuzzy AHP and fuzzy linear programming" in Journal of Intelligent & Fuzzy Systems, 38, no. 4 (2020):4315-4325, https://doi.org/10.3233/JIFS-190913 . .
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