محمدامین نایبی

In this paper we have developed inventory control models (r,Q) & (R,T) in multi-items environment by two objectives as minimizing costs (holding & shortage) and risk level under four constraints. These constraints include: available budge, service level, storage space & allowed shortage quantities. Demand functions assumed normal in the study and extra demands also are backlogged. First we developed crisp models and then fuzzy stochastic models with fuzzy budge, allowed shortage quantities and shortage space which are fuzzy-stochastic parameters with normal distribution. All of fuzzy numbers are triangular typically. In this methodology we changed fuzzy-stochastic models to crisp multi objectives problem, by using difuzzification of fuzzy constraints and then solving by Fuzzy logic method. Finally we have tested an example to describe the model and methodology which is solved by LINGO package.

In this paper, we present a MCDM model for vendor selection of Telecommunications systems. Decision making in Telecommunications systems (Central) is more important because of their communicational role in organizations. Considering the multiple criteria in the vendor selection of telecommunications systems is a multi-criteria problem. Because these decisions usually are based on the intellectual judgments of managers, Fuzzy logic is used to improve decision making. Literature review and experts opinions used for determining the model indexes and then developed a Fuzzy TOPSIS model with combined weighs. Combined weights are result of integrating various methods such as intellectual judgment of managers, Fuzzy statistical average, modified weight and fuzzy weigh. In this model all numbers are Fuzzy and triangular type. A case study done in Qazvin Islamic Azad University to apply the developed model.

Nowadays strategic thought is a crucial part of pioneer organization in a competitive environment. BSC is one of the strategic programming tools in organizations which have many applications in this field. On the other hand, the organizational world which is full of competitions is in a way that organizations should constantly look at changes and innovations will occur via organizational entrepreneurship. Therefore, we want to use the Vikor application as one of the choosing multi criteria procedures to priorize the organizational entrepreneur indicators based on BSC and strategic point of view in order to provide discipline and security On the other hand, Police organizations are a part of governmental systems of a society with the mission of providing discipline and security, which are active in highly sophisticated environments with various threats against the public people. For this reason, most of the efforts are put into identifying the entrepreneur improvement factors which work in favor of employment, discipline and security of management policies. In this research Qazvin police force case studying is chosen

An issue of great concern in the current literature which has attracted the attention of a lot of managers and researchers is empowerment. Similarly, one of the recurrent technologies in the third millennium in banking industry is electronic banking which is increasing dramatically. This paper examines the relationship between these two fundamental challenges in Mellat Bank,Iran. To this end, a psychological empowerment model, namely, sprits was used and two questionnaires were developed and administered to 134 employees and 150 key customers of Mellat Bank of Zanjan county. Data were analyzed using SPSS software. Given the correlational nature of the study, statistical analysis utilized included Spearman correlation coefficient. The results attested to a meaningful relationship between employees’ empowerment and realization of electronic banking.

In this paper we developed an inventory model in mixed imprecise and uncertain environment. Presented model is developed form of (r,Q) and is a multi-items model with two objectives as minimizing costs (holding & shortage) and risk level under constraints including available budgetary, the least service level, storage spaces & allowable quantities of shortage. Demand distribution functions are assumed to be exponential and extra demands are supposed in two situations as lost sales and backlogging. At first we develop crisp model then fuzzy stochastic model with fuzzy budgetary, allowable quantities of shortage and shortage spaces (i.e. stochastic with normal distribution function) parameter. All of fuzzy numbers are triangular type. In methodology of solution we change model to a crisp multiobjectiveby using difuzzification of fuzzy constraints and fuzzy chance-constrained programming methods, and then solve it by fuzzy logic method. Finally an illustrated example is taken and solved using LINGO package.

Batch production is one of producing processes and cause to decrease production costs if itsprogramming is optimized. This method has many applications in chemical, mechanical parts andpolymer industries. Te literature review show a lot of researches concentrated on Batch ProductionScheduling but shelf time have a little attentions from author. In this paper we modeled BatchProduction scheduling with heuristic method of operations sequence to separate constraint dependenceof fixed setting costs from objective function where products are perishable and have shelf time. Inthis study we applied Mixed Integer Nonlinear Programming (MINLP) to model problem and solvedan numerical instance with using Lingo software package.

In this article، an evaluating model for ranking the fuel stations of N. I. O. P. D. C. is presented. The model was formulated based on one of MCDM techniques known as Analytical Hierarchy Process (AHP). More specifically، initially، we conducted a survey through administering a questionnaire to experts in order to identify the criteria for evaluating fuel stations. Then، we determined criteria weights using a questionnaire on the basis of AHP standard. We used a rating scale instead of direct pair wise comparisons among alternatives so that we could overcome the explosion in the number of required comparisons when the number of alternatives is excessively large. Then، we calculated global Weights of every criterion in each level and after that considering assigned rates by evaluators to every fuel station، the scores of every fuel station was eventually calculated. All of weights were calculated and run using EC software. To test the presented model، we evaluated four stations in Zanjan province.