هدف این مقاله بررسی نقش کیفیت قوانین و مقررات بر اجرای موفقیت آمیز خط مشی تدارکات در بانک های دولتی باتوجه به نقش تعدیلگر شرایط خاص بانک ها است. تحقیق از نظر هدف، کاربردی و از لحاظ گردآوری اطلاعات جزء پژوهش‌های کمی است. جامعه آماری را تمامی مدیران و کارشناسان ناظر بر تدارکات 8 بانک دولتی که از خط مشی های تدارکات عمومی استفاده می کنند تشکیل دادند و پرسشنامه‌های پژوهش در بین 151 نفر از ایشان پخش شد. برای انتخاب نمونه از نمونه‌گیری تصادفی خوشه‌ای استفاده شد. ابزار گردآوری داده‌ها، پرسشنامه محقق‌ساخته بر مبنای مقیاس 5 گزینه‌ای بود. روایی پرسشنامه از نظر صوری و محتوایی از طریق خبرگان، روایی ﻫﻤﮕﺮا از طریق محاسبه ﻣﯿﺎﻧﮕﯿﻦ وارﯾﺎﻧﺲ اﺳﺘﺨﺮاج ﺷﺪه (AVE)و روایی واﮔﺮا از طریق جذر AVE به تایید رسید. پایایی پرسشنامه از طریق آلفای کرونباخ برای کل پرسشنامه 86/0 به دست آمد. برای تحلیل داده‌ها از آزمون‌های آلفای کرونباخ،(AVE)، کولموگروف‌اسمیرنف و تحلیل عاملی تاییدی و از نرم افزار smartpls3 استفاده شد. نتایج نشان داد که کیفیت قوانین و مقررات بر اجرای موفق خط مشی تدارکات تأثیر مثبت و معناداری داشته و ویژگی‌های خاص بانک‌های دولتی، رابطه کیفیت قوانین و مقررات در اجرای خط مشی را تعدیل می‌کند. Manuscript profile

This paper considers a multi-objective portfolio selection problem imposed by gaining of portfolio, divided yield and risk control in an ambiguous investment environment, in which the return and risk are characterized by probabilistic numbers. Based on the theory of possibility, a new multi-objective portfolio optimization model with gaining of portfolio, divided yield and risk control is proposed and then the proposed model is solved as a fuzzy goal programming model to fulfill aspiration level of each objective. Furthermore, numerical example of efficient portfolio selection is provided to illustrate that proposed model is versatile enough to be applicable to various unexpected conditions. This paper considers a multi-objective portfolio selection problem imposed by gaining of portfolio, divided yield and risk control in an ambiguous investment environment, in which the return and risk are characterized by probabilistic numbers. Based on the theory of possibility, a new multi-objective portfolio optimization model with gaining of portfolio, divided yield and risk control is proposed and then the proposed model is solved as a fuzzy goal programming model to fulfill aspiration level of each objective. Furthermore, numerical example of efficient portfolio selection is provided to illustrate that proposed model is versatile enough to be applicable to various unexpected conditions. Manuscript profile

Abstract Vendor Selection Problem (VSP) has been considered in this paper as an integrated method of Fuzzy Analytic Hierarchy Process (FAHP) and Quality Function Deployment (QFD) in the pharmaceutical company. In QFD method, determining the importance of the "weights" for the customer requirements is an essential and crucial issue. FAHP has been used to determine the importance of the "weights" for Product Designing which incorporates the four important attributes in a pharmaceutical company namely Cost, Standing Supplier, Delivery Time and Quality. The new approach can improve the imprecise ranking of customer requirements and provides a decision tool that facilitates the vendor selection. The most significant advantage of this integrated method is using it as a self-evaluation tool in the organization to determine weaknesses and strengths, so it can help researchers to solve this specific subject for supplier’s selection. Manuscript profile

Most of data in a multi-attribute decision making (MADM) problem are unstable and changeable, then sensitivity analysis after problem solving can effectively contribute to making accurate decisions. This paper provides a new method for sensitivity analysis of MADM problems so that by using it and changing the weights of attributes, one can determine changes in the final results of a decision making problem. This analysis applied for SAW technique, one of the most used multi-attribute decision making techniques, and the formulas are obtained. Manuscript profile

The sensitivity analysis for multi-attribute decision making (MADM) problems is important for two reasons: First, the decision matrix asthe source of the results of a decision problem is inaccurate because it sorts the alternatives in each criterion inaccurately. Second, thedecision maker may change his opinions in a time period because of changes in the importance of the criteria and in the policy of theorganization over time. This in turn makes problem solving really time-consuming. Therefore, the best solution is to do sensitivity analysis.In this regard, this paper considers a sensitivity analysis in the QUALIFLEX method which is a compromise ranking method used formulti-criteria decision making (MCDM). Manuscript profile

The purpose of this research is to evaluate the effectiveness of implementation Quality Management System (ISO 9001:2000) in gas processing plants of National Iranian Gas Company using balanced scorecard approach. More specifically, we chose the balanced scorecard framework to examine five well-known gas processing plants in National Iranian Gas Company from four different perspectives in order to provide a more comprehensive view of organizational performance after the registration of ISO 9001. The methodology used in this research comprised administering a questionnaire to 360 respondents in the company in order to find out the results of using ISO 9001:2000 on the firms under study based on four BSC aspects and. The results indicated that: First, the BSC could be used successfully to measure the performance of quality systems in the gas processing plants of NIGC. Second, the findings indicated ranking of five plants based on the BSC perspective. However, the customer and learning perspectives are neglected in the target companies. Manuscript profile

Six-Sigma has some measures which measure performance characteristics related to a process. In most of the traditional methods, exact estimation is used to assess these measures and to utilize them in practice. In this paper, to estimate some of these measures, including Defects per Million Opportunities (DPMO), Defects per Opportunity (DPO), Defects per unit (DPU) and Yield, a new algorithm based on Buckley's estimation approach is introduced. The algorithm uses a family of confidence intervals to estimate the mentioned measures. The final results of introduced algorithm for different measures are triangular shaped fuzzy numbers. Finally, since DPMO, as one of the most useful measures in Six-Sigma, should be consistent with costumer need, this paper introduces a new fuzzy method to check this consistency. The method compares estimated DPMO with fuzzy customer need. Numerical examples are given to show the performance of the method. All rights reserved Manuscript profile

A characteristic of Data Envelopment Analysis (DEA) is to allow individual decision making units (DMUs) to select the factor weights which are the most advantageous for them in calculating their efficiency scores. This flexibility in selecting the weights, on the other hand, deters the comparison among DMUs on a common base. For dealing with this difficulty and assessing all the DMUs on the same scale, this paper proposes using a multiple objective linear programming (MOLP) approach based on scalarizing function for generating common set of weights under the DEA framework. This is an advantageous of the proposed approach against general approaches in the literature which are based on multiple objective nonlinear programming. Manuscript profile

The classification of fuzzy uncertain data is considered one of the most challenging issues in data analysis. In spite of the significance of fuzzy data in mathematical programming, the development of the analytical methods of fuzzy data is slow. Therefore, the current study proposes a new fuzzy data classification method based on fuzzy data envelopment analysis (DEA) which can handle streaming data.The new method is tested by simulated data and the results indicate its effectiveness in facing uncertain data and variable conditions. Manuscript profile

DEA Classic models cannot be used for inaccurate and indeterminate data, and it is supposed that the data for all inputs and outputs are accurate and determinate. However, in real life situations uncertainty is more common. This article attempts to get the common weights for Decision-Making Units by developing DEA multi-objective models in the grey environment. First, we compute the privilege of DMUs efficiency to receive more accurate ranking. Finally, in order to assess the results, an example is presented to compare the results of the DMUs ranking between DEA Classic models and the presented model. Manuscript profile

The stock evaluation process plays an important role in portfolio selectionbecause it is the prerequisite for investment and directly influences on the stockallocation. This paper presents a methodology based on Data EnvelopmentAnalysis for portfolio selection, decision making units which can be stocks orother financial assets. First, DMUs efficiencies are computed based oninput/output common weights, and then the generation of a portfolio is carried outby a mathematical model. Finally the methodology is illustrated numerically onthe market of Iran stock exchange. Manuscript profile