Designing a New Model to Improve Productivity Factors Implementing the Fuzzy Goal Programming Method

In this paper, the fuzzy goal programming method is used in order to improve productivity. Using this method, productivity factors including factors such as data, process, output, business cycles, competitors and government policies are modeled and systematic model to improve factors in the field of three productivity areas: materials, capital and human resource is provided. By measuring the current status of productivity in three areas listed and changing the yields obtained from output of goal programming and re-measuring the productivity of three areas, productivity enhancement is shown. Output obtained from solution of planning models shows that with output weights by AHP and LINGO8, alpha value is 0.61 and 61% of the amount of the increase or decrease in the constraints with fuzzy variable, there can be change. By applying goal programming, with fuzzy logic, results in better picture of the real systems of production and sales, and as was seen results in improvements in productivity factors in three areas of material productivity, human resource productivity and capital productivity.