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The Fuzzy-Robust Multiple Objectives ‎Mathematical Model for Sourcing:‎ ‎ The Approach for Risk Management in the ‎Supply Chain of Iran Khodro

Volume 15, Issue 1, February 2011, Pages 51-76

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Abstract Selecting appropriate suppliers can significantly reduce costs and increase ‎the competitiveness of organizations. On the other‏ ‏hand, in today’s ‎competitive environments, high speed of changes increases uncertainty and ‎ambiguity in decision making. Considering these two important issues, in ‎this research, fuzzy-robust approach was is used to increase certainty and ‎remove ambiguity in planning of the supply parts for two products of Iran ‎Khodro Company (Tehran, Iran). Due to high number of parts were in any ‎product, only the important parts were selected for this survey. Model of ‎supply of these parts (was designed) in the form of a multi-objective linear ‎programming model. Because of the uncertainty of some parameters of the ‎model, these parameters are considered as random variables but there is no ‎exact value for them. In order to remove concern and ambiguity about these ‎parameters‏ ‏regarding the length (half-length) of their intervals, with help ‎new approach (fuzzy-robust), the model was converted into fuzzy-robust ‎model to achieve dependable solutions. Finally, the quality of solutions was ‎analyzed by simulation technique.‎

Purposeful Organizational Forgetting: Alchemy of Competitiveness in Organization

Volume 13, Issue 4, September 2010, Pages 194-218

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Abstract Lately, organizations have become increasingly aware of the value of managing their organizational learning and knowledge. Thus researchers have investigated those processes extensively. Still something is missing in the current discussions of organizational knowledge: organizations do not just learn; they also forget. Knowledge management is creating processes not only for learning and retaining what is important but also for avoiding or unlearning what is not important. Forgetting, like learning, is not simple: it may be detrimental or beneficial, accidental or purposeful. By the way, in all cases, it can significantly affect, in both negative and positive ways, the competitiveness of an organization. In the present study, in addition to the investigation of concept and forms of organizational forgetting, we studied the relationship between purposeful organizational forgetting and charismatic leadership and determined of the amount of organizational forgetting, due to strategic importance of purposeful organizational forgetting. The data necessary for this study were through questionnaires that were given to 165 top and middle managers and supervisors in the supply chain of Iran automobile industry. Correlation analysis of data by chi-square test showed that there is a significant relationship between every dimensions of purposeful forgetting (new and established knowledge) and charismatic leadership.

Evaluation and Selection of Supplier in Supply Chain in Case of Single Sourcing with Fuzzy Approach

Volume 12, Issue 4, January 2009, Pages 127-153

Ahmad Jafarnejhad; Majid Esmaelian; Masood Rabieh

Abstract One of the most important permanence factors in today’s competition environment is decreasing of the cost of the products. Selecting the appropriate suppliers can significantly reduce the purchasing cost and increase organization competitiveness. It is due to the fact that in most industries, the cost of raw material and component parts includes the main cost of a product. The aim of this paper was to introduce a fuzzy decision making approach for supplier selection problems in supply chain. Most of such decisions are unstructured and many of the performance criteria such as quality, cost, flexibility and delivery time to determine the best supplier should be considered. In this paper, verbal variables were used for evaluation and determination of the performance of supplier under each criterion and determination of the weight of the criteria. Verbal variables were described by means of the triangular and trapezoid fuzzy numbers. Furthermore, the priority and the rank of suppliers by fuzzy multi-criteria decision making were determined. Finally, an example was presented to the process of decision making.