Journal of Operational Research in its Applications
Year:2012 | Volume:9 | Issue:3 (34)|Papers Count:11

Most of organizations are interest to appraising existence situation and using actions for promotion of situation in the future. Hence, appraising performance is on of the most themes for new management. Usually, performance appraisal is a necessary element in planning, control and decision making. Supply chain performance appraisal create information and feedback to managers about supply chain activities in the view of satisfying customers expectations and also amount of strategic goals access. In this paper population were top and middle managers of Pooya Co. and sample were 28 people, and introduced an integrated balanced scorecard (BSC) analytical hierarchy process (AHP) approach for supply chain management (SCM) evaluation that with aims of measure SCM performance, and it is tried to localize sub-criteria of four perspective BSC in any level of firm strategic. The results show that, for supply chain system evaluation, with attention of managerial level, strategic, operational and tactical level are ranked respectively, and with attention of four perspective BSC, customer perspective is perceived as the most important criterions in pooya firm.

The purpose of this paper is ranking of marketing communications channels for selecting the best channels. It’s an essential issue in leading the rare resources towards the main marketing communications channels. In this study the main and more priority channels in marketing communication will be identified. In this regards, and for prioritizing of the channels, the fuzzy AHP method will be used. The results show that advertisement has the highest rank among marketing communications channels in “product-market” of interest. Thus it is the main channel in marketing communications of that “product-market”. This research is a descriptive-survey type research. For information gathering of research literature, it’s used from library methods and for criteria and choices extraction, in addition to literature, the comments of experts who were related to the subject was used. More ever, for analyzing the data, the FAHP was used.

In this article, we consider Bi-GDEA model and point to set mapping algorithm and we try developing the algorithm as we can determine the existence and amount of congestion of a unit.

In the existing models, to solve allocation problem usually one or more homogenous costs have been considered for each allocation with conclusive and accurate amounts. This is while in many allocation problems, more than one kind of cost are included which is possible that these costs haven’t the same kind. In one hand, after each investment and cost, manager or decision maker expects interest or benefit proportional with his cost and purposes which this expectation hasn’t been included in allocation models and just its cost and investment has been seen. In this paper, to remove faults in allocation based on the current models of allocation, we used from Future Data Envelopment Analysis model. We included literature of allocation problem in Future Data Envelopment Analysis model and introduced this model with professional view.

This paper aims to present the optimal design of brushless permanent magnet motor using genetic algorithm (GA) and finite element analysis. The equation related to the design and dimensions of brushless permanent magnet motor will be investigated. Then, an optimum design based on genetic algorithm is presented in order to increase the combination of power density and efficiency. Finally, obtained dimensions are evaluated using finite element analysis (FEA) which its results validate optimization process properly.

Producing different agriculture crops with high quality is possible in Guilan province because of variety of climate situation. Rice is one of the strategic crops taking a basic role in farmers’ economy of the province, including Rasht city. So this study investigated to determine the efficiency of rice growers in this city. It was based on data envelopment analysis and research data using 120 questionnaires and interviews from rice growers were completed. Results indicate that the efficiency average of technical, economic and allocative of returns the constant are 0.86, 0.828, 0.958 and returns the variable are 0.916, 0.89, 0.971 respectively. Based on the results, with plans to increase the technical efficiency of farmers, can be used without changing the level of technology and resources, production increased. Also didactic terms can be effective to increase the level of farmers’ management.

Grape is the most important and economical garden crop in Sistan zone that has key role in this area’s economic. Therefore, according the all factors the produce it, scrutiny about it’s efficiency. DEA are used to analyze data. In agricultural year of 88-89 data gathered by filling questionnaires of 265 farmers in Zabol, Zahak and Hirmand county. Results represented by DEA Procedure, Zahak with 71%, had most scale efficiency. The rate of output to scale in Zabol, Zahak and Hirmand County was 1.35, 1.18 and 1.34 and all factors (rental worker that was used more than normal in 3 cities is exception) were used by grape producers logically and economically. At the end, by paying attention to answers of grape producers about their problems and result of this study, some suggestions were offered to improve efficiency.

Manufacturing Organizations usually face complicated Problems, so they have to pay attention to the concept of Strategy. Hence these kinds of organizations always will benefit from a relative specified logic derived from the corporate Strategy, when faced by such complicated problems. Since, in the Manufacturing Organizations, Resources play an infrastructural role, and taking into account the most –practiced approaches to Strategic Management, the Resource Based view to strategic management in manufacturing has been favored by many Manufacturing Businesses during the recent years. In this research, the problem to solve is determining and selecting the optimized place between some options in manufacturing to develop the capacity, using RBV, on the top of strategic decisions in manufacturing. The methodology to solve the problem is that, at first step we decrease the Problem to the decision making matrix, and at second step, we evaluate the available options and the existing opportunities by the approach of RBV and give scores to the resources to the extent that they affect the appearance of advantages on the products in competitiveness. In conclusion, by quantitative analysis and processing of decision making matrix, we’ll be successful to select the optimized option in manufacturing by RBV approach.