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Abstract The present Research as” Design Business Agility Dynamic Model in manufacturing organization with dynamic systems approach”was performed . Initially the literature review discussed. The data gathered in this stage provided us with the possibility to present a conceptual framework for the study. Subsequently, through interviewing with experts, some indices for evaluating the variables in the model were identified. On the following stage, a questionnaire was developed. The questionnaire included 116 items, based on a 7-point Likert scale. After determining the validity and reliability of the results of the research revealed that agility capability, agility outcomes, and the internal supply chain of the organizations were less affected by environmental factors than agility enablers. The environmental drives by means of agility enablers, supply chain processes, agility capabilities and agility outcomes influence organizations Then, design Agility Dynamic Model and evaluated effect of changes in environmental drives and Policy of executives on organizational agility results The environmental drives by means of agility enablers, supply chain processes, agility capabilities and agility outcomes influence organizations Then, design Agility Dynamic Model and evaluated effect of changes in environmental drives and Policy of executives on organizational agility resultsوThen, design Agility Dynamic Model and evaluated effect of changes in environmental drives and Policy of executives on organizational agility results

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Supply chain Integration importance leads to this believe that some scholars express that the whole concept of supply chain management is derived from integration. Providing the basis for creation and effective continuation of supply chain management requires the recognition of main factors affecting the integration. Studies reveal that the organizations with higher levels of social capital are more successful than their rivals. So, the purpose of this study is to surveying Social Capital Influence on Supply Chain Integration. Considering the purpose, this study is applied research, and based on its research methodology, it is a correlation descriptive, and it is specifically based on the structural equation models. The population consisted of 435 organizations in food industry of Fars province in Iran, and via employing stratified sampling, 124 executives related to supply chain management were selected and the questionnaires were distributed and collected data were analyzed. This model suggests that five factors influence Supply Chain Integration, and the purpose of the research was to investigate the influence of social capital on these factors. The results indicated that the social capital has positive and direct relation with integration, communication pattern, trust and commitment and has no direct relation with power and attitude.  

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Supply Chain Management (SCM) is an integrated process of decision making from supplying raw materials to consume final product by final customers. Selecting of most appropriate suppliers is one of the most important decision making problems affected by different qualitative and quantitative parameters. As supply chain gets more complex, uncertainty and risk level in the supply chain would increase. Hence supply chain risk management, especially supplier risks, has become a major issue in the organizations. In this study at first by identifying suppler risks in the steel industries using blast furnace, a hierarchical classification of risks (38 risk events in 3 levels) was developed. At the second step, by considering risk events set, a group of nine evaluation criteria was proposed. Afterward for more accurate assessment of each supplier risks, a composite risk index is proposed based on the evaluation criteria and their importance weights. Finally, by employing the ELECTRE III, the priority of suppliers (mines) of Esfahan Steel Company was evaluated and the most appropriate one was determined. Based on obtained results, Jalal-Abad and Shargh-Iran iron ore complexes can be considered as suppliers having lowest and highest risk levels, respectively.

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Nowadays, the use of quality management capabilities can lead to an improvement in the operation of supply chains. Regarding this, in recent years, the notion of quality management of supply chain has emerged as a new managing idea, which has combined some aspects of the supply chain management and the quality management. But there has been a limited number of studies in this area. Therefore, the following study tries to explore and define the notion of quality in the management of supply chain by the use of personal constructions of the elite, who in the broad supply chain of zinc industry of province of Zanjan, are in the ventricle of the quality management proceedings. Therefore, based on the above mentioned approach, 20 of the elite were interviewed. Since the quantity of the gained constructions were exceeding than the number to be analyzed, the similar constructions were collected and combined by content analysis approach and then were categorized as secondary construction under proper titles. Then these 31 secondary constructions, based on the theoretical foundations and the literature review, were clustered into 8 dimensions and to ensure more the clustering went under the observation of 15 members of the scientific board of the Management Faculties of universities of Zanjan province. These 8 dimensions indicate the multi-dimension-ness of the notion of supply chain quality management.

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design of two phrase mathematical model for green supply chain Green supply chain has attracted considerable attention of the governments and organizations over the past decades. The objective of this research is to suggest an integrated approach for green supply chain management including two stages. In the first stage, a TOPSIS-Fuzzy approach was presented to consider uncertainty in human’s judgment. In the second stage, we applied a robust Multi Objective Mixed-Integer linear Programming model to design the green supply chain network. Although many researches have been conducted on green supply chain management, most of them have not given enough importance to integrate decision making in supply chain. Moreover, most of former researches assume that supply chain is a balanced system. Also very few studies have considered carbon emission and the related issues in supplier evaluation which cause on overall warming and pollution of the planet. The model was designed for an active company in glass industry. results have revealed that the model is capable of controlling the network uncertainties.

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The Model of a Global Strategic Supplier Selection in Supply Chain (Case of Iran Automotive Industry) Globalization is one of the important changes in the 21 century that increased competitions around the world in national, local and international tread and business. Thus production transferred from a national and limited decision to a global and strategic issue. Many competition rules and foundations were changed and redefined in the new situation. This paper studies one of the important aspects of this problem, that is supplier selection, considering two points: 1)world class manufacturing (WCM) conditions, 2)Strategic cooperation. We designed a new model that can select a global strategic supplier, which is tested in Iran auto motive industry supply chain management. This model is very suitable for Iran and other similar countries, and tries to find a suitable answer to this key question, that our managers: is faced with Which supplier should be selected as a part of our supply chain, to improve company company ability, at global production dimansions This model is called »Mogbel – Goudarzi global strategic supplier selection model« or »strategic diamond«.

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The lean production is a philosophy and new view of product, which its birthplace is in Japan. This approach was prevailed in Europe and U.S.A. later on and highly welcomed there by many vehicle manufactures. In this method, it is tried to minimize the wastes and maximum productivity is obtained by all facilities, human resources and capital. The present article while introducing factors and particularities of lean production, tries to present a model which can compare the rate of compatibility of productive factories with criterions and specialties of lean production by using dimensional analysis (DA). According to researches done in this regard, the factors of lean production are divided into 9 major factors and 85 minor criterions. Then, integrity of effective factors is analyzed using statistical techniques of corelalion coefficient, multi-regression coefficient and analysis factor. One of the particularities and innovations in this article is the usage of lean production in factories for made to order. Because, most of the past researches have been a car manufacturing which has continues and based on product. The statistical society of this research is Sadid Industrial Group which has many large productive companies and is considered as one of the big productive companies in Iran. The obtained results state the importance of organization and leadership in lean production and information technology, management information system, human resources and supply chain management are considered respectively as other important factors in achieveing to lean production. Also the obtained result from factor analysis states that major factors of lean production are divided into two clusters. The first group includes information technology factors, leadership and organization, human resources, organization, purchasing and logistics, supply chain management, production process management and maintenance. And the second group includes total quality management, equipment and hardware management.

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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.

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The use of System Dynamics Modeling in Supply Chain Management has only recently re-emerged after a lengthy slack period .the propose of this thesis is to use knowledge and techniques in implementation based on recent research .At first we have given an overview of supply chain management and system dynamics and then presented a taxonomy of research and development in System Dynamics Modeling in supply chain management. In this research we have focused on a supply chain as a case study Which produce and distribute healthy products and its main company is darugar. we used System Dynamics techniques to know effective variables in our supply chain and understand how to improve its performance .we started simulation model design by explaining dynamic hypothesis and continued by creating casual loops, stock & flow diagrams and mathematical formulation .our model was tested by famous dynamics and statistical techniques and then we started to investigate causes of supply chain’s behavior by sensitivity analyses. when we understood the main factors and their interactions completely we started to suggest three policies due to supply chain indexes to improve its performance .the policies are missed sale reduction ,inventory reduction and correct information receive which all causes improvement in introduced indexes in our research .what we achieved of this research was our ability of predicting results before any changes in parameters ,relationships or structure of supply chain and it is so important due to its high degree of complicity.

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Nowadays, reverse logistics is one of the major activities of supply chain management that are included all of physical activities related to returned products (e.g., collection, recovery and recycle). So that, designing and implementing of appropriate reverse logistics, not only lead to increase customer loyalty, but also it will be reduce the inventory and transportation costs. This paper presents a mixed-integer linear programming (MILP) model for the network design of forward and reverse logistics, which minimizes the costs consisting of the fixed cost, material cost and construction of the potential center cost. To validate this model, a number of test problems are generated, and then its parameters are determined. The presented model is solved by the Lingo software and the associated computational results along with the sensitivity analysis are illustrated. Additionally, the returned products with different demands for one and two products are illustrated. Finally, the remarkable conclusion is presented.

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In modern business environments, agility is advocated as the fundamental characteristics for competitiveness. Little research, however, exists which provides integrated methodologies suitable to be practically adopted to enhance agility of companies. In this research, we utilized an original approach, which, by linking competitive bases, agile attributes and agile enablers, aims at identifying the most appropriate enablers to be effective for increasing company´s agility. The approach is based on the quality function deployment (QFD) methodology, and, in particular, on the house of quality (HOQ), which has been successfully adopted in the new product development field. The whole scaffold exploits fuzzy logic, to translate linguistics judgements required for relationships and correlations matrixes into numerical values. In point, this approach applied in Auto Part industry (case study: Bahman Khodro Group) and identified suitablt enablers in this industry. Supply chain management in this industry was recognized as the most important enabler . knowledge management, information technology, concurrent engineering, team building, project management, hardware, and were then placed in the ranks. The main limitations of this research can be time consuming due to the calculation of the QFD cited. In this study, due to better express dependencies and Correlations at HOQ fuzzy numbers were used to describe the relationship accurately.

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The purpose of this research is to identify factors and components that affect a trust-based cooperation in the automobile supply chain and their impact on the performance of the supply chain companies. This paper includes 2 parts. In the first part, by studying the research history and literature and interviewing academic and industrial scholars and experts, four hidden variables of trust-based cooperation in automobile industry were identified and the basic research model was designed. In the second part, using Structural Equation verification and path analysis, the impact of these variables on trust-based cooperation and the impact of trust-based cooperation on the performance of the supply chain companies were studied. Research population consisted of Iran-Khodro and Saipa’s supply chain companies including part makers, major car manufacturers and distributors. Data gathering method was questionnaires that were given to 400 companies –one questionnaire per company- 196 of which were returned and analyzed. In this phase, first, by confirmatory factor analysis and path analysis, validity and stability of the indexes that were derived from the model in the first phase, were tested, all of which were confirmed. Four hypotheses were developed based on the conceptual model of the research and tested by path analysis. According to the findings, 3 of the hypotheses were confirmed and one was rejected. Based on the results of the research, some suggestions were presented for improving the performance of companies in the automobile supply chain and for future researches.
 
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Improving sustainability in supply chains is one of the strategic objectives in the current business. Firms have been adopted new management strategies to achieve sustainability in the manufacturing supply chain. Therefore, it is essential to assess the sustainability performance of the newly implemented management strategies. The purpose of this paper is to provide a model for assessing the sustainability performance of LARG supply chain management practices in the automotive supply chain using the dynamics system. In this paper, LARG supply chain management practices was identified by reviewing the literature and interviewing experts and were prioritized using fuzzy DEMATEL and fuzzy analysis network process and was presented as an integrated approach to LARG practices. Finally, the dynamic system has been used to assess the dynamics of LARG supply chain management practices and their impact on sustainable performance in the supply chain. The findings show that improved scenarios flexible transportation and just in time lead to a more sustainable supply chain. The results of these scenarios show sustainability improvement in the supply chain Also the results show that lean strategy is a very important for achieving sustainability in the supply chain. The proposed model helps industry managers and decision makers to identify the results achieved from implementing LARG supply chain management practices and improving effective practices on sustainability in the supply chain by adopting policies.

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The integration of supply chain has always been a challenge for many companies. Despite the agreement on the strategic importance of supply chain integration, limited researches have been done on the relationship between supply chain integration and its impact on performance. In this study, sample size was 75 managers and experts from agriculture supply chain sector. Hence, interpretative structural modeling and structural equation modeling were used for analyzing the data (smart PLS). The results infer that the integration of marketing and supply chain management would improve supply chain performance through some factors. The results indicated Knowledge Management (KM), Human Resource Management (HRM), Information Technology (IT), marketing planning and supply chain planning are the most important indicators in improving Guar supply chain management. The Guar supply chain performance would be improved through the relationship between IT and HRM.