نشریه مدیریت راهبردی در سیستم های صنعتی
پیاپی 36 (تابستان 1395)

Supplier selection issue is one on the basic problem in all of industries especially in oil industry. In such issues¡ multiple criteria and sometimes contradictory criteria must be considered. So¡ these problems are considered as multi-criteria problems. Suppliers can have a huge impact on the performance of companies in different categories like¡ price¡ quality and delivery. Experts believe that there is not the best way for evaluating and selection and there are different methods in this field. In this study¡ first¡ with investigating other studies and interviews with experts and the basic criterias for supplier selection were identified and prioritized with Analytic Hierarchy Process. In the next step¡ according to the criteria and alternatives (suppliers)¡ a hierarchical analysis model prepared and alternatives were also prioritized. In order to determine economic order quantity for one of the main needed parts¡ a hybrid goal programing and analytic hierarchy process has presented and by using real data¡ model run and the optimum order for the part was determined for each supplier.

In the knowledge-based age¡ knowledge is regarded as a competitive advantage which should be managed in a proper manner for an accurate use. The first step to implement a system is to identify the key factors. During designation and implementation of knowledge management¡ a series of factors exist which play a more vital role and they lead to facilitation and acceleration of the implementation process of the system by focusing on the main axes. This research is conducted in order to identify and prioritize the critical success factors (CSFs) of knowledge management. The statistical population consisted of managers and experts of Tabriz Oil Refinery which is equal to 30 persons. As the statistical population number is limited¡ there is no need for sampling and the whole population was surveyed. For data collection¡ two questionnaires were employed¡ the reliability and validity of questionnaires were assessed by experts’ reviews¡ opinions and Cronbach test. For identifying the factors effective on the success of knowledge management T-test was performed. According to the findings and results¡ four critical success factors were identified¡ including management practices¡ organization efforts and development¡ information technology and supply and adoption rate. With regard to the simple Additive Weighting Method (SAW)¡ the ranking of afore-mentioned factors are as follows: management practices¡ organizational efforts¡ supply and adoption rate and IT. And with regard to the Fuzzy Analytical Hierarchy Process (FAHP) the ranking of these factors are as follows: management practices¡ organizational efforts¡ IT and supply and adoption rate. In addition to the importance of knowledge management¡ we can refer to identification of gaps in organization''s knowledge¡ higher productivity of human capital; provide more value-added goods¡ satisfaction of customers and employees¡ strengthening competitive position.

Due to the importance of ranking bank branches and the lack of a comprehensive ranking model¡ which can lead to improved performance of the bank and the country economic growth¡ offering a hybrid multiple criteria decision-making (MCDM) model for ranking among bank branches is necessary. However¡ with the passing of time¡ MCDM methods have helped a lot in the rankings. But the choice of which methods is accepted as the best solution is always an ambiguity. Since the comprehensive hybrid algorithm that can identify the top branches not provided¡ yet. This research is trying to achieve the final ranking of the branches. Thus the optimal solution is to introduce a hybrid algorithm that determines the optimal weights of the MADM methods by a linear model. This approach is especially applicable when we cannot prefer any ranking method to others. Thus¡ in this paper¡ the criteria weights are obtained using DEMATEL and ANP methods. Afterward¡ the bank branches are ranked using TOPSIS¡ VIKOR¡ PROMETHEE II¡ SAW¡ WPM and DEA methods¡ each of which is important and significant. Finally¡ using proposed hybrid algorithm the optimal weights of different methods and the ranks are calculated.

The aim of this paper is to develop a model to predict the profitability of pharmaceutical companies using artificial neural network. The research method was descriptive-modeling and statistical population included all active pharmaceutical companies of the Stock Exchange including 21 companies. Due to the limited population¡ no sampling was performed and the whole community was surveyed. The documents of pharmaceutical companies were used to data collection and artificial neural networks were used for data analysis. The results showed that the best model to predict the profitability of pharmaceutical companies is obtained by considering the variables of working capital to total assets¡ cumulative profit (loss) to total assets¡ earnings before interest and taxes to total assets¡ the market value of equity to the book value of debts¡ sales to total assets and liquidity.

One of the most famous optimization problems in the field of financial engineering is portfolio selection problem. In its simplest form¡ while trying to minimize risk in the portfolio selection according to defined constraints such as budget and integer constraints it deals with selecting a basket of various assets. Generally¡ investors prefer to invest in some assets rather than investing in only one asset to reduce unsystematic risk by diversifying their investment. Complex computational models have been developed to solve this problem and there is not an optimal solution for many of them. In this paper¡ a new and innovative approach known as fruit fly optimization algorithm (FOA) is used for multi-objective problem solving based on mean-variance Markowitz problem with class and cardinality constraints. Fruit fly optimization algorithm is a new way to find the overall optimal solution based on the behavior of the fruit fly in finding food. So far¡ few studies have been done on this algorithm and almost none of them used this algorithm for portfolio optimization problem. The results indicated better comparative performance of the algorithm compared to genetic algorithm for data set of Tehran stock exchange.

Planning is currently considered as an important element for the whole personal¡ societal and organizational affairs¡ whereby every activity would be performed effectively. Scheduling is of high significance in operations research. Recently¡ scholars have drawn much attention to the application of mathematical modeling as an optimization approach in solving the complex scheduling problems. However¡ only a few have addressed the open-shop scheduling problem. This study was intended to investigate the effectiveness of meta-heuristic genetic algorithm in order to minimize non-decreasing separable objective functions for such problem. In this genetic algorithm¡ displacement mutation and partially matched crossover were adopted as two operators. Moreover¡ the obtained solutions were compared based on how to select the best chromosome by using methods of tournament selection¡ rank selection¡ and roulette wheel selection. The data were collected through literature review. It was exhibited that meta-heuristic genetic algorithm can rapidly find the optimal solution. Furthermore¡ rank selection resulted in more optimal solutions instead of the other two.

Production Programming and Inventory Control are known as most important topics in manufacturing companies subordinated the uncertainty and risk. This uncertainty increases the system costs while economic order quantity (EOQ) gives direct benefit to the organization. In this research a new inventory control model will be devised due to the volume discount and under fuzzy approach. To calculate the optimal parameters¡ we used presolving de-fuzzification for all entrance parameters and pro-solving defuzzification for all output parameters based on torques method in parameters certainty. Meanwhile¡ converting de-fuzzification models to classical models and replacing de-fuzzy digits finally led to calculate the suggestive parameters. To better illustrate the model sensitivity¡ we used a case study. The result showed this heuristic approach would analytically examine the model and determine optimal parameters quantity for each level and each optimal level could be selected depends on the organization policies.

Supply chain agility has taken into consideration of research topics in recent years and it is done on a variety of research activities. One of the reasons of the mentioned focus is due to the need of industries for rapid entry into the market and attracts customer’s satisfaction. Efficient evaluation of supply chain agility is an essential and challenging matters for companies and manufacturing firms and therefore aim of this study is to evaluate supply chain agility of industrial city of Ahvaz companies with fuzzy Delphi approach integrated with multiple criteria decision-making process. In this research¡ identification of agility indicators and designing the conceptual model using the Delphi technique are aimed as well as evaluating supply chain agility firms with an integrated DEMATEL¡ FANP and VIKOR approach. The results of this research can be considered significant in the priority of customer satisfaction¡ improving quality and introducing new products among different dimensions. It should be noted the results are consistent with existing documents and opinions of senior experts and this indicates the efficiency of the proposed approach in this research.

Present research intends to look into the role of the strategic thinking in implementation of the EFQM model through organizational learning within the logistics department of the Ministry of Energy as well as the Ministry''s subsidiary companies. For this purpose¡ four hypotheses formulation presented and tested. The present research is based on the three variables: The strategic thinking as the independent variable¡ implementation of the EFQM model as dependent variable and organizational learning as mediator variable. The current research method is applied research in terms of objective¡ strategies and data collection is solidarity¡ quantitative¡ and survey questionnaire respectively. In this survey¡ statistical society includes all managers and field staff working for the Ministry of Energy and subsidiary companies in the Iran with the number of 35324 persons¡ who are serving in 2015. Sampling in this study is done based on random sampling method with stratified kind and Krejcie and Morgan table was designed for 384 people. Data analysis was conducted by applying the software’s such as SPSS statistical¡ Excel and Lisrel. The results of the proposed approach showed that strategic thinking and organizational learning both have a positive impact on the establishment of EFQM. Results of the fitting model indicated that the research data are fitting with the research conceptual model¡ so the model was verified. Based on the results of the hypotheses tests and given the fact that all the three hypotheses of the research were verified it was concluded that the strategic thinking directly and through the organizational learning affected on implementation of the desired organizational model.

The main objective of this research is to study the effects of various methods of financing over stock’s return of accepted companies in Tehran stock exchange from 2001 to 2010. The studied companies are those which have been used various methods of financing including borrowing from bank system¡ issuance of stock¡ retained earnings and they have presented financial statements (balance sheet and statement of loss and gain)¡ as well as the required financial information in the studied period. The results will be used to predict the method of financing for future years. Analyzing the research hypotheses¡ univariate and stepwise regression was used. All of hypotheses have been tested in insurance level of 95%. This research has been done with a simple template included 53 companies from Tehran stock exchange from 2001 to 2010. The results of the research show that financing methods has significant effect on stock’s return. And financing methods via borrowing from bank system has vice versa relation while financing from stock issuance and retained earning whit stock’s return has direct relation.