فصلنامه مطالعات مدیریت صنعتی
پیاپی 23 (زمستان 1390)

One of the most important problems in project management is the undesirable time and cost variances of projects which are not considered before the project implementation. This problem is the result of the risks, occurring in the length of the project implementation. In this case, Risk Management based on PMBOK standard can be proposed as a methodology that is so vital because of uncertain nature of projects and necessity of best resources usage. Also, one of the best methods to prioritize the risks quickly and accurately is Risk Failure Mode & Effect Analysis. In this article, risk assessment is presented by an integrated model based on Risk Management process of PMBOK standard and RFMEA technique in North Azadegan Oil Field Project. Therefore, in order to achieve the purpose of this article, the risks of a project are identified, firstly. Then, they are prioritized by RFMEA technique. The third step focuses on simulating the project by Pert master software. Finally, the response strategies for each high-priority risk are determined.

Nowadays evaluation system existence is necessary because of wondrous changes in management knowledge. None existence of evaluation system in the different organization dimensions especially in the level of managers is one of the signals that shows the organization problem. The aim of this research is combing of 360degree method and technical VIKOR for evaluating performance. The statically society in this research is included from13persons of Research Center managers. Performance evaluation criteria are prepared from expert opinions with Delphi method and visionary basis. Questioner's perpetuity is supported with Cronbach's alpha correlation (0.92). Achieving the manager's suitable ranking is the result of combing 360degree method and technical VIKOR that the capability of it is proved in research center. The total of the subordinates and self-evaluator idea is equal to the superior ideas. Using of the weight stability intervals formula in other MADM technique for criteria weights sensitivity analysis is completely similar with reality decision making environment.

This paper aims to review the literature in order to propose a conceptual model for strategic planning process and to examine the applicability of this model. This research is done in four industrial estates in Khorasan - Razavi province. The statistical population includes top managers of the companies who were actively involved in strategic planning of their company. Structural Equation Model (SEM), Lisrel and SPSS software are used to analyze the gathered data. The results indicate that two significant paths have been ignored in the initial proposed model. Thus, adding these two paths leads to an applicable model for strategic planning process in small-sized companies. The results also show that 70 percent of the considered companies benefit from integrated plans. An important finding is that there is a significant linear relationship between the intensity of strategic planning and environmental change.

Today, foreign investment is known as one of the most important sources of funding and technology transfer modes in developing countries, that is because foreign investment, in comparison to domestic investment, includes competitive advantages such as accessibility to sufficient information, managerial skills, advanced technology and valid sources of funding., Due to high demand of large expenses and advanced technologies, foreign investment is a necessary and inevitable issue in oil refinery industries. In related to multiplicity of foreign investment modes, selecting the right mode of investment has been as one of the strategic decisions for investee countries. The present research, therefore, is designed to identify and prioritize the different modes of foreign investment in oil refinery industries. This paper is based on a research, descriptive-survey methodology. To analyze the gathering data used in this paper is based on statically and multinational attribute decision making techniques. The final results illustrates that using investment mode like Built, Operation, Transfer (BOT) has been considered to be the best method in comparison with other modes in this oil refinery industry.

The manufacturing organizations of information and communication era are facing numerous challenges, including the challenges of demanding customers seeking high quality, low cost products, responsive to their specific and rapidly changing needs. They are seeking manufacturing new models and systems in order to overcome them. Manufacturing agility paradigm has been offered manufacturing organization's managers as a solution for coping these challenges. In this article, I offer a fuzzy model to build agile of manufacture. This model will be helped manufacturing organization's managers: a. to find organization's competitive priorities. b. To know their own organization's manufacturing agility capabilities. c. To know their own organization's manufacturing agility enablers. d. To focus and capitalize on the most important of their own organization's manufacturing agility enablers in order to improve their own organization's manufacturing agility capabilities, and as a result, to achieve their own organization's competitive priorities. The results of implementing model in the firms of Khozestan Steel Industry indicate, that each firm can select and implement the set of agility enablers with focusing on its competitive priorities through developing and improving the set of agility capabilities.

Previously, decision about granting facilities to clients of banks in Iran were made based on personal judgment about the risk of failure in reimbursement. But, increasing demand for bank facilities by economic firms and households in one hand, and increasing extensive commercial competition among banks and economic- credit companies in the country and their efforts to alleviate the risk of failure in reimbursement of facilities on the other hand, have resulted in using modern methods such as statistical methods in this area. Today, to predict the possibility of failure in reimbursement of facilities and to classify their applicants, banks use the credit ranking of their clients. Savings in time and costs, removing personal judgments and increasing the accuracy of evaluating applicants of various facilities are some of the benefits gained in this method. There are various statistical methods such as audit analysis, logistic regression, nonparametric smoothing and other methods including neural networks which have been used in ranking the credits. Among these methods, neural network method is of higher flexibility and has attracted more attention in recent years due to its ability to classify, generalize and learn the patterns. In this paper, firstly we select some of the important criteria in granting various credit facilities such as financing loan, civil partnership, installment sale and unilateral contract to natural clients of a private bank in the country using questionnaire and the opinions of elite people in the field of banking. Then, we classify them by presenting four models of neural networks namely MOE, MLP, LVQ and RBF and evaluate the accuracy of the ranking of these models. The obtained results indicate that MOE model is more accurate compared to MLP and RBF models and LVQ has not acceptable accuracy for ranking the credits of bank applicants.

The present study aims at optimizing the vehicle brake drum assembling process. Considering the crucial role of the Axle unit, especially its vehicle brake drum which is related to the safety of the passengers, the study of the producing and assembling processes and conducting the quality control experiments during these stages is of great importance. With regard to the great significance of three main factors, namely, seal-oil spindle diameter, seal-oil internal diameter, and nut lock torque as independent variables, the present research attempts to optimize the rotatory torque of the automobile brake drum getting help from the discussions in the RSM and the unsteady of the automobile brake drum getting help from fuzzy regression using least absolute deviation estimators. Finally optimal solution perused by nonlinear programming model and Genetic Algorithm using one of multi-objective existing methods (LP-metric). Comparing the two optimization methods is shown that the GA technique has better performance rather than nonlinear programming model.

During the past two decades, perspective of competition in the banking industry has been changed significantly. This is due to forces such as new laws, globalization, and grows of technology and becoming bank's services to products, and significant grows in customer's demands. Therefore banks try to offer appropriate service to potential customers, and new services offer with better analysis so that with customer behavior analysis, we can predict risk of new investment and obtain appropriate segmentation of customer demand for these services. With such as analysis, company can prevent additional cost of marketing and also increase acceptance of services. Whereas decision making environment made of different factors, we need models so we can analysis more variables and also enable capability of information provision for decision making. In this paper, we present a model for analyzing the behavior of customers with self-organizing map, and discovering association rule among bank's services.

In this paper, a mathematical model is proposed to solve cell formation problem considering alternative process routings in which more than one process route for each part can be selected. The model attempts to minimize intercellular movements and incorporates several real-life production factors and practical constraints. In order to increase the flexibility provided by the multiplicity of routings, the model distributes production volume of each part among alternative routes. Also, a constraint enforcing work load balancing among machines is included in the model. Due to the complexity and combinatorial nature of this model, an enhanced algorithm comprised of a genetic algorithm and a linear programming is proposed for solving the model. The proposed algorithm is tested by a range of test problems and compared with two algorithms from the literature. The computational results show that the proposed algorithm is effective and the proposed approach offers better solution.

The research treat the proportion of institutional investors, institutional investors concentration, the directors of board compensation, the proportion of outside directors and CEO non­duality as corporate governance mechanisms with created shareholders value (CSV) as performance measurement. To perform this research, the data for 63 publicly listed firms in Tehran Stock Exchange during 2003-2009 were used. For this purpose, sample firms were divided in two group. Group1 including the firms were created value (the shareholder return exceeds the required return), group2 including the firms were destroyed value (the shareholder return is less than the required return). The research hypotheses were tested by using regression analysis and independent t-test, findings showed that: In firms that were created value, we detected a direct significant relationship between directors of board compensation and CSV. In firms that were destroyed value, we detected a direct significant relationship between institutional investors concentration and CSV. In firms that were destroyed value, we detected an inverse significant relationship between directors of board compensation and proportion of outside directors with CSV. We did not detect a significant relationship between proportion of institutional investors and CEO non-duality with CSV.