Abstract Supply chain (SC) management aims to increase the overall profit through improvement of various activities and components. Many contradictions between parts and different levels of a SC have been identified in order to achieve overall objectives. Such shortfalls may result in decreased strength and competitiveness of the SC. The basics of game theory make it a suitable and reliable tool for solving contradiction situations by considering all levels and players goal. For Solving the problem mentioned above, game theory approach besides coordination mechanism are performed in this research. First of all an unlimited three echelon supply chain including S suppliers, M manufacturers and K retailers are considered. For this matter, a mathematical cooperative model based on specific assumptions is proposed. The model was performed in a numerical example and it is solved by genetic algorithm. The sensitivity analysis of proposed model was analyzed by design of experiment and finally the verification of the cooperative model is assessed by simulation and Arena software.

Abstract Design and implementation of QMS will cause to the improvement of organizational performance if it concerns on the especial characteristics of the organization. In general, previous studies have obtained different results about the effect of QMS (7 main practices) on organizational performance (4 main practices). In this survey, the relationship between QMS and organizational performance practices is analyzed using Structural Equation Modeling. The results showed that QMS practices have a significant relationship with the employee’s satisfaction, customer satisfaction and organization effectiveness, but the relationship between financial practice and QMS is not significant.

Abstract As the business environment continues to shift into more knowledge-based services, companies who are recognizing the true importance of intellectual capital are going to be more successful. So, in contemporary organizations, one of the most important decisions made by mangers is intellectual capital management and measurement. Also intellectual capital measurement relies heavily on concise and parsimonious indicators. In this regard choosing the appropriate indicators among too many existing indicators is not so easy and needs some criteria. It also needs some tools such as GSS to facilitate the criteria definition and to weighting. managers after defining the criteria based on the context of the organization by can select the appropriate indicators based on these criteria. This paper reports on an empirical study which introduces a GSS framework for selecting intellectual capital measurement indicators implemented in an automobile manufacturer in Iran in three phases: 1. Investigating the criteria for the evaluation of intellectual capital measurement indicators based on fuzzy AHP approach. 2. 2.Ranking intellectual capital measurement indicators based on the criteria, and 3. Defining some rules to select the intellectual capital measurement indicators in an automobile manufacturer in Iran. indicators in an automobile manufacturer in Iran.

Abstract Selecting people of project team is very important because it can determine successful ness or failure of projects. In this research, a model was developed for project team selection based on fuzzy approach that presents a systematic and scientific selection process of project team. Fuzzy compatibility concept was applied for measuring relationship and suitability between the necessary skills for accomplishing project activities and the skills of candidate people. In order to select the appropriate people to the project team, two factors were considered; the degree of compatibility and cost of potential teams. To make decision about the desired team, the "SAW" method was applied. Finally the desired team was selected that satisfied both skill requirements and budget constraints.

Abstract Just in Time (JIT) production systems are introduced for production and supply of goods and services with minimum inventory. The goal of this paper is present a sample of system dynamics modeling application for analysis and improvement of JIT system's behavior. In this paper relations between demand of products, quality of produced goods, inventory, maintenance of machines and facilities, production rate and supplier's efficiency are investigated in a dynamic system. In the first section problem definition, dynamic hypothesis, causal diagram and flow diagram of system are discussed. Afterwards behavior of the model is inspected from different views by developing a dynamic model.

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