Developing an appropriate plan for distribution department is significant because of its influence on company's other costs and customers' satisfaction. In this study, a new bi-objective mix-integer linear programming model developed for scheduling two groups of experienced and inexperienced distribution staff based on capillary marketingin Pak Pasteurized Dairy Products Company of Guilan provi...

data envelopment analysis (dea) is a nonparametric approach to estimate relative efficiency of decision making units (dmus). dea and is one of the best quantitative approach and balanced scorecard (bsc) is one of the best qualitative method to measure efficiency of an organization. since simultaneous evaluation of network performance of the quad areas of bsc model is considered as a necessity a...

In this paper, the researchers present a multi-objective linear fractional inventory model using fuzzy pro-gramming. The proposed method in this paper is applied to a problem with two objective functions. The re-sulted fuzzy model is transformed into an ordinary linear programming. The implementation of the develop-ing model presented in this paper is demonstrated through the use of some numeri...

In this paper, the problem under consideration is multiobjective non-linear fractional programming problem involving semilocally convex and related functions. We have discussed the interrelation between the solution sets involving properly efficient solutions of multiobjective fractional programming and corresponding scalar fractional programming problem. Necessary and sufficient optimality...

In this paper Standard Error of Mean (SEM), as a new technique, is used for transforming multi-objective linear programming problems (MOLPPs) to the single objective (SOLPPs). To end, an algorithm has been proposed and suggested solve MOLPPs, which have tested through numerical examples by employing Excel Solver. However, study compares results other techniques like (Chandra Sen, Optimal Averag...

The aim of our paper is to obtain efficient solutions the interval multi-objective linear programming (IMOLP) models. In this paper, we propose a new method determine in IMOLP models by using expected value and variance operators (EVV operators). First, define concepts value, variance, uncertainty distributions, present some properties EVV operators. Then, introduce model under these An consist...

Blending is a classical and well-known optimization problem that has been applied in the food, steel, composite material industries. However, tea blending more complicated than general problems due to variety of products, processes, sources raw materials semi-products. So, this research, fuzzy multi-objective model for was proposed minimize total production cost deviation quality target score; ...

resource limitation in zero time may cause to some profitable projects not to be selected in project selection problem, thus simultaneous project portfolio selection and scheduling problem has received significant attention. in this study, budget, investment costs and earnings are considered to be stochastic. the objectives are maximizing net present values of selected projects and minimizing v...