Goal programming is a technique often used in engineering design activities primarily to find a compromised solution which will simultaneously satisfy a number of design goals. In solving goal programming problems, classical methods reduce the multiple goal-attainment problem into a single objective of minimizing a weighted sum of deviations from goals. Moreover, in tackling non-linear goal pro...

In practice, there are many problems which decision parameters are fuzzy numbers, and some kind of this problems are formulated as either possibilitic programming or multi-objective programming methods. In this paper, we consider a multi-objective programming problem with fuzzy data in constraints and introduce a new approach for solving these problems base on a combination of the multi-objecti...

abstract soil nutrient management with efficient fertilizer use has an important role on maximizing yield and environmental effects. in this study game theory is applied to identify the nutrient proportion for corn production in kooshkak in fars province, iran, in 2008-2009. cost of fertilizer combinations and production of corn are the players of the game. a goal programming was applied to obt...

determination a sequence of extracting ore is one of the most important problems in mine annual production scheduling. production scheduling affects mining performance especially in a poly-metallic open pit mine with considering the imposed operational and physical constraints mandated by high levels of reliability in relation to the obtained actual results. one of the important operational con...

due to the importance of supplier selection issue in supply chain management (scm) and ,also,  the increasing tendency of organizations to their social responsibilities, in this paper, we survey the supplier selection issue as a multi objective problem while considering the factor of corporate social responsibility (csr) as a mathematical parameter. the purpose of this paper is to design a mode...

abstract regarding the imprecise or fuzzy data on the agriculture activities, applying models based on fuzzy data may be useful. in line with this condition this study tries to compare the ability of possiblistic programming approach in developing optimal solution with fuzzy and deterministic programming. to get this objective a data set obtained from 90 farmers of kohgilooye region, gathered i...

The design of closed-loop logistics (forward and reverse logistics) has attracted growing attention with the stringent pressures of customer expectations, environmental concerns and economic factors. This paper considers a multi-product, multi-period and multi-objective closed-loop logistics network model with regard to facility expansion as a facility location–allocation problem, which more cl...