Abstract
This Paper aims to plan the production of the electrical distribution converter (400 KV/11) for one month at Diyala Public Company and with more than one goal for the decision maker in a fuzzy environment. The fuzzy demand was forecasting using the fuzzy time series model. The fuzzy lead time for raw materials involved in the production of the electrical distribution converter (400 KV/11) was addressed using the fuzzy inference matrix through the application of the matrix in Matlab, and since the decision maker has more than one goal , so a mathematical model of goal programming was create, which aims to achieve two goals, the first is to reduce the total production costs of the electrical distribution converter (400 KV/11) and the second is to maximize the amount produced from them, where the fuzzy data of the mathematical model were processed using the ranking function. Through the results obtained to solve the mathematical model using Lingo program we find that the mathematical model has achieved both objectives, i.e. reduce the total production costs of the main product to less than (4464254500) Iraqi dinars and maximize the amount produced from the main product for more than (17000) parts per month.
Paper type: Research paper.
Paper type: Research paper.
Keywords
Fuzzy Forecasting Methods (FFM)
Fuzzy Inference System (FIS)
Fuzzy Lead Time
Goal Programming (GP)
Production Planning (PP)
Ranking Function (RF)
Abstract
This Paper aims to plan the production of the electrical distribution converter (400 KV/11) for one month at Diyala Public Company and with more than one goal for the decision maker in a fuzzy environment. The fuzzy demand was forecasting using the fuzzy time series model. The fuzzy lead time for raw materials involved in the production of the electrical distribution converter (400 KV/11) was addressed using the fuzzy inference matrix through the application of the matrix in Matlab, and since the decision maker has more than one goal , so a mathematical model of goal programming was create, which aims to achieve two goals, the first is to reduce the total production costs of the electrical distribution converter (400 KV/11) and the second is to maximize the amount produced from them, where the fuzzy data of the mathematical model were processed using the ranking function. Through the results obtained to solve the mathematical model using Lingo program we find that the mathematical model has achieved both objectives, i.e. reduce the total production costs of the main product to less than (4464254500) Iraqi dinars and maximize the amount produced from the main product for more than (17000) parts per month.
Paper type: Research paper.
Paper type: Research paper.
Keywords
Fuzzy Forecasting Methods (FFM)
Fuzzy Inference System (FIS)
Fuzzy Lead Time
Goal Programming (GP)
Production Planning (PP)
Ranking Function (RF)