Industrial Management Journal
Year:2009 | Volume:1 | Issue:2|Papers Count:20

The classical control charts by using precise and specified data divide the production process into two groups: in-control or out of control, while the fuzzy sets with the definition continuous and cohesive membership functions and also using ambiguous and vague fuzzy numbers (triangular and trapezoid), It introduces different levels of decisions for the decision makers. In this paper, using the fuzzy mode for drawing fuzzy control charts' beside using indefinite data and information based on the personal's experience and subjectivity has defined the multiple levels of the quality of product (in-control, rather in-control, rather out of control or out of control) in the production firms which states the real conditions of the production.

Organizational performance improvement is the concept of measuring the output of an organization, then modifying the process or procedure to increase the output, increase efficiency, or increase the effectiveness of the process or procedure. In this paper, a methodology is presented for applying simultaneous the EFQM excellence Model and the balanced scorecard in organizational performance improvement. The balanced scorecard is used as a Strategic Management System in the research. We apply QFD, SWOT and MADM tools to develop the methodology. Finally, we examine the performance of the proposed methodology by a case study. Results show that the proposed methodology performs relatively well.

Because of important role of development banks in optimal allocation of limited financial resources, their investment efforts must have an objective direction to the achievement of government's strategic goals. In order to get appropriate approaches in its investment, Bartk of Industry and Mine (BIM) as the only development bank in industry and mihe sector, aims to take a general survey among available investment opportunities. For this propose, this paper presents a model for prioritization of investment opportunities of BIM. After defining effective criteria and sub-criteria, their weights are estimated through experts' evaluations based on pair-wise comparisons of Analytical hierarchy process. Aggregation process is achieved through Hierarchical Fuzzy TOPSIS method. Fuzzy theory is utilized to model some qualitative criteria and also to handle uncertainty raised in estimation errors of some quantitative criteria. Although, obtained results enable BIM to derive its short-term and long-term investment directions, however the proposed method is a useful tool for many situations such as the case.

This paper presents a combination of Data Envelopment Analysis (DEA) and Principal Component Analysis (PCA) to reduce the dimensionality of data set. DEA is known as effective tool for assessment and benchmarking. The weak point of DEA, it is that the number of efficient DMUs relies on the number of variables (inputs and outputs). For solving this, first, we do principal component analysis (PCA) on the ratios of a single output to a single input. In order to reduce the dimensionality of data set, the required principal components have been selected from the generated ones according to the given choice principle. Then a linear monotone increasing data transformation is made to the chosen principal components to avoid being negative. Finally, the transformed principal components are treated as outputs into data envelopment analysis (DEA) models. One of the main differences of this model versus previous models is that this one's multi objective model. We used this approach to rank the bank branches of Tehran.

Today the domain of competition in production and operation has been. Changed to supply chains for independent firms. In this problem material flow is very important among three flows, financial, information and materials. Traditional approach is dominated in supply, production and distribution planning at most Iranian industrial cooperation. It means that each of these unit are planning their activities independently, therefore it causes to increase that total cost of supply chain. In this research, at first the various material flow models in supply chains have been stUdied, hence material flow in demand, production and distribution sections in kachiran firm was modeled by integrated approach. Because of various decisions and variables, fuzzy environment, chain condition and benefit of fast decision caused to mathematical models have been used as a systematic and quantitative method and it solved by heuristic genetic algorithm method. After solving model by various operators of genetic algorithm in different generation, the best satisfactory result which had the minimum cost has been selected. For model reliability, these results have been compared with factUalamounts of variables in that period, and they showed that present model costs have decreased.

Data Envelopment Analysis (DEA) is a wide range of mathematical niodels tha.t used for measuring the relative efficiency of a set of harmonic unit’s whit similar inputs and outputs. This model calculates some different weight for input and output variables in each decision making model. This variation in similar weights caused some critiques to this method. From 1991 some linear and nonlinear models proposed to calculate a common set of weights for decision making units in DEA models. In this article also suggests a linear goal programming approach for this purpose and its application compared with other models in a numerical example. Linearity, applicability and meaningfully of estimated weights are some benefits of suggested model.

SWOT analysis does not present an analytical technique for defining significance of recognized factors and assessment of different strategic alternatives. Thus it has several problems in factors assessment. AHP technique solves some of the problems but it is not efficient when the factors have interdependency because it assumes the factors are independent. This assumption is not acceptable in analysis of internal and external environment affects. Therefore a suitable technique is needed which is suggested in the current study. This technique can be useful specially when there is interdependency among the factors of SWOT.

In recent years, there has been a great concern about strategic supply chain management. The supply chain configuration approach is related to strategic management of material and information flows. Most of suggested configurations in the part of strategic direction are based on environmental factors and structure-conduct-performance approach. Exploring supply chain configuration with emphasis on supply chain resources and capabilities could be appropriate complement for past configurations. In this paper, with using a qualitative research method and automotive industry experts views attempt to suggest a new configuration for classifying supply chains based on supply chain resources and capabilities. In this research, we use experts' views in three Iranian automotive companies. We then specify three types of supply chains based on supply chain capabilities and environmental factors: Lean supply chains, customer-focused supply chains and innovative supply chains.

In this article, applying robust optimization in product mix problem in automotive industries is presented. The problem includes determining both the quantity and the identification of each product to produce to maximize profit. At first, the deterministic model will be presented. Then, robust model of product mix problem will be illustrated. Bertsimas and Sim approach is used to build robust counterpart of deterministic model. In Bertsimas and Sim approach, the robust counterpart of deterministic model is linear and decision maker can decide about protection level. Model can be used in many automotive industries under uncertainties.

Strategic performance evaluation of an organization within the industry environment is one of the basic and most important prerequisites of organizational improvement plans. In today's knowledge-based economy and dynamic environment, it is essential for universities as the centers of education, knowledge creation and knowledge worker evolvement. Till now, variant models with different approaches are deployed to evaluate aspects of the organizations, with in various industries. Balanced Scorecard is one of the powerful models for performance evaluation, which analyzes all aspects of the organization evenly. In this paper with the consideration of BSC strength in performance evaluation, it is used in combination with the TOPSIS technique to evaluate and ranking of the best's Iranian Business Schools. The results could be used in developing plans for these schools as well as other Iranian Management and Business Schools beside it's coefficient in adapting BSC to higher education and suitable combination of BSC with TOPSIS as a model of performance evaluation.