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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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COVID-19 pandemic, as an unprecedented phenomenon in the modern world, has considerably damaged the international trade, business and supply chain. Previous researches show that although, some restrictions and quarantine are helpful for decreasing the negative impacts of the pandemic, but these have cause trade and economic crisis. In this environment, the World Customs Organization (WCO) plays a pioneering role in combating against the damaging effects of the COVID-19 pandemic. It has invited all its members to share their best practices and policies for preventing the spread of the pandemic. The WCO categorizes them into 4 distinctive groups: facilitating the cross-border movement of relief and essential supplies, supporting the economy and sustaining supply chain continuity, protecting staff and society. This research shows that the mentioned practices and policies can significantly reduce the trade and economic recession of the pandemic and implementation of these practices in critical times can be useful to promote the economy and trade and can help the researchers, policy-makers and stakeholders in combating the negative effects of the pandemic.

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Supplier selection Problem is one of the most important issues in the field of supply chain management and has become a survival factor in a competitive environment. This is a multi-criteria problem that can influence supply chain performance. The aim of this study is proposing an appropriate multi-criteria decision making model for optimal supplier selection. This research performed in Barfdaneh Company and firstly, the important criteria for mineral bottle cap suppliers’ selection were identified based on research literature and interviews with managers. Then, two questionnaires were used for assembling managers’ viewpoints. According to the first questionnaire, the importance of criteria were evaluated. Then, the relative weights of criteria were determined using fuzzy Delphi analytical hierarchy process (FDAHP). Based on second questionnaire, three suppliers were evaluated based on defined criteria. Finally, according to both questionnaires, suppliers were evaluated and ranked by VIKOR method.    

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Nowadays, many organizations deal with increasing competition and environmental uncertainty, which caused by innovations in technologies and changes in customer needs. Considering this condition and existing environment, old and traditional supply chain has lost its efficiency. One efficient method in this regard is leagility. Thus, to model the leagility of supply chain, different researches was reviewed in literature. Results of these researches and experts interviews lead to 15 critical success factors of leagilty in supply chain. These factors were ask by an ISM and DEMATEL techniques questionnaires and experts were asked to set the relationships. Acquired results were analyzed by these two techniques. Obtained maps and relations showed that for both techniques using IT, management, employee training, designing supply chain network, process standardization and demand and supply management are the basics of leagilty in supply chain. This model would help supply chain managers with strategic planning to make improvement in leagility supply chain.

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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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This study intends to identify the dimensions and components of the humanitarian supply chain in post-disaster of earthquake and present conceptual model to measure it. After designing the questionnaire and determine its validity and reliability, the questionnaire was distributed between managers and rescuers in partner organizations in helping in earthquakes affected areas Bam in Kerman, Varzaqan-Ahar in east Azerbaijan and Dashti in Boshehr and finally the 284 questionnaires were completed by managers and rescuers in the case studies. Confirmatory factor analysis in order to assess the content validity of the questionnaire is used first, and then to evaluate the importance and performance of these measures in relevant organizations, the one sample t-test method was conducted, and with the help of importance-performance matrix, areas for improvement of components and dimensions are identified and strategies to improve humanitarian supply chain performance in post-disaster of earthquake was presented.
Therefore, the research method is applied and in terms of gathering information tool is descriptive-correlation. The findings indicate, the components of ““supervision of custodian organizations on construction” and “Coordination between partners in rebuilding” were evaluated high importance and low performance and were located in critical area and they are in the first priority. Also, the components of “Correct assessment of damages and needed Equipment and resources for rebuilding” and “provide continuous psychological support and advice to Survivors” were evaluated in high importance and high performance and they are in the next priority.

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In today's turbulent and uncertain environment, every company is exposed to disruption in their supply chain. A disruption is an event that can disrupt normal flow of products, information and financial supply chain that this could be have a negative effects on performance areas of operational, financial and market, so understanding how companies can manage their supply chain disruptions has become an important issue among academics and professionals. In order to confront against this disruptions, supply chains should be design multidimensional to give an effective and efficient response, able to recover to its original state, or even to improve their circumstances after the occurrence of the disruptions and this is what is called supply chain resiliency. In this study, after studying related literature to supply chain resilience as well as interviews with experts in the field of supply chain, 12 factors where identified which are effective in achieving resiliency in supply chain. Moreover, in another interview with experts, the relationship and the importance of identified factors in the Interpretive Structural Modeling (ISM) were recognized. The results illustrate that elements of redundancy, innovation and information sharing are known as supply chain resiliency infrastructures.

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Considering the growing competition and increasing attention toward productivity and cost reduction among firms, quick access to pertinent information has become a competitive advantage for them. Relying on this up to date information, they can reduce their costs by decreasing their inventory, speeding up material flow, taking consumer view in to account etc. in this study we investigate the relationship between enterprise resource planning (ERP) system and supply chain management where Oracle Purchasing Module implemented in Zob Ahan enterprise. Statistical population of the study is operational employees of Zob Ahan enterprise in Isfahan and the sampling method is simple stochastic. Required data is gathered through a questionnaire and we use SPSS and SmartPLS in order to analyze them. Findings of this research indicate that ERP Components including Integration, Material management, Production planning, and controlling have positive impact on supply chain management.

 

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Today, due to the ever-increasing competition between organizations and uncertain environments that have been created by many changes in customer needs, using an efficient supply chain can be considered as a competitive advantage for any organization. In this regard, one solution is lean approach. Lean approach helps to eliminate waste in the supply chain. On the other hand, based on the state of Iran and the abundance of oil and gas resources, the implementation of lean approach in the supply chain of the organizations operating in this field is very important.
In order to conduct this study that has been carried out in one of the largest companies operating in the offshore sector and the aim of this research is to provide a lean supply chain model in offshore oil and gas industry and accordingly, executive solutions can be presented.  First, by reviewing the literature and opinion poll at the experts, the 11 factors that lead to lean supply chain were identified. Then, using fuzzy analytical heararchy process and interpretive structural modeling approach, the research model was developed and based on it, the factor: “leadership and management”, “information sharing”, ‘financing” and “supplier contact” identified as the most influential and “minimizing the delivery time” was identified as the most influential factor. In the next step, the model was validated in quantitative and statistical analyzes as well as qualitative. Finally, some suggestions were made to achieve lean procurement process in the offshore sector of the oil and gas industry.
 

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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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Risk and failure in the supply chain can have a significant and negative effect on the short-term and long-term performance of the participants in the chain. Therefore, this research has an innovative look for a mathematical model for analyzing the interactive risks of the supply chain system using Bayesian belief networks. The study is descriptive in terms of purpose and has descriptive nature. The research community is classified into the two categories of academic experts and operational experts. In this research, information on the drug supply chain of the Imam Reza Hospital of Mashhad was obtained and analyzed using the bayesian belief network modeling process. The findings of this study show that Bayesian belief networks are much better than traditional risk analysis methods, because it can analyze basic risk analysis, including risk ranking and scenario analysis, and other essentials. BBN can also display different uncertainties in the language of probabilities with an appropriate visual form and provide more comprehensive view of the supply chain conditions and its risks

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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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In today's world, information impacts on all industries. One of the key issues that will undoubtedly be influenced by information technology and its tributaries, is the supply chain performance. In this study, we attempt to improve the performance of information technology in supply chain based on knowledge management perspective. Because improving supply chain performance depends on exploiting knowledge and experience of all those involved in the chain. Therefore, the role of knowledge management in this subject and its effects will be significant. For data gathering 136 valid questionnaires were collected from ceramic tile companies for determining the relationship between variables and their impact on each other. Using partial least squares and Smart PLS software for data analysis, results of research and conceptual model, showed that there are direct and positive impact relationship between IT capability and knowledge management.

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Purpose: Due to the emergence of the lean approach concept in human resources, this research was conducted with aim of analyzing the issue of lean human resource supply chain.
Methodology: Relying on philosophical foundations of pragmatism school, this research is a qualitative study based on grounded theory. The statistical population of the study consisted of senior managers, middle managers and experts of the Ministry of Cooperation, Labor and Social Welfare and academic experts. 19 individuals were selected by purposeful sampling as statistical sample members. Lean human resource supply chain model identifications were collected using semi-structured interviews and analyzed using Strauss and Corbin's three-step coding method (252 key concepts, 43 subcategories, and 25 main categories).
Findings: Based on the findings of the study, lean human resource supply was selected as the pivotal phenomenon. Causal conditions were categorized into two categories of environmental and organizational factors, and the five main categories of preventive demand management planning, efficiency of search resources, efficiency of evaluation and screening, recruitment preparation and succession system efficiency. Selected strategy title, personal characteristics of managers, evaluating the effectiveness of absorbed human resources, the employability of the candidate as a reinforcement intervener and illegal relationships, environmental uncertainty, time pressure for employment, and the inefficiencies of the public management system were identified as mitigating interventions. Organizational culture, strategic role of HR unit, managers' flexibility and adaptability, management stability, career management and accessibility, and the organization's resource constraints were identified as lean human resource supply chain strategies. Finally, the implications of the lean human resource supply chain were divided into three levels: micro, middle and macro.

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Today ,To have a competitive product in the market you need a competitive supply chain. Competition in the supply chain has replaced competition between companies. Supply chain management has different approaches, each with its advantages and disadvantages. designing an integrated approach that takes advantage of all approaches and eliminates some  of their disadvantages is one of the important requirments in supply chain management. Larg supply chain is a comprehensive approach to combining lean, agile, resilient and green strategies. Assessing the level of supply chain is one of the main concerns of managers interested in establishing new supply chain paradigms. The aim of this article is to provide a conceptual model of the key success factors of a larg supply chain to help create a more competitive and sustainable supply chain; Therefore, in this article, using the Meta-synthesis method, a comprehensive study and summary of the work done in the field of larg supply chain has been done, and a model for the success of the large supply chain has been presented in 31 criteria and 8 dimensions

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Inventories exist throughout the supply chain in various forms for various reasons. Since carrying these inventories can annually cost from 20 to 40% of their value, managing them in a scientific manner to maintain minimal levels makes economic sense. This paper presents a near-optimal (s, Q)-type inventory policy for a multi -echelon production /distribution network with multiple non - identical suppliers. The model is a synthesis of three components: (i) the inventory analysis at the retailers, (ii) the demand process at the warehouse, and (iii) the inventory analysis at the warehouse. The key contribution of the model is the seamless integration of the three components to analyze simple supply chains. The decisions in the model were made through a comprehensive distribution-based cost framework that includes the inventory, transportation and transit components of the supply chain.