جستجوی مقالات مرتبط با کلیدواژه « agility » در نشریات گروه « میان رشته ای »

In today's highly competitive markets, it is impossible to eliminate or ignore the resources of turbulence. Hence, supply chain managers must accept uncertainty and look for an approach to adapt to such conditions. Therefore, the purpose of this study was to design a supply chain agility model with fuzzy DEMATEL approach in the oil and gas industry in Khuzestan Province. This research was quantitative research with fuzzy DEMATEL approach. The statistical population of the present research consisted of experts in the oil and gas industries in Khuzestan Province. Based on this,10 experts were interviewed from the oil and gas industries in Khuzestan Province. Supply chain agility factors in the oil and gas industries included flexibility, competitive price, reliability, responsiveness, customer relations, quality, speed, availability, innovation, and up-to-date and competence. The required data was collected using a pairwise comparison questionnaire. In order to analyze the data, the fuzzy DEMATEL approach and sensitivity analysis with Excel software were used. Findings showed that the factors of flexibility, competitive price, quality, availability and innovation and up-to-date were in the group of causal variables and the factors of reliability, responsiveness, customer relations, speed and competence were in the group of effect variables. The findings of sensitivity analysis also revealed that for every 10% change in the independent variables of flexibility, or responsiveness, or competency, the supply chain agility increased by 1.1%. In addition, the findings demonstrated that for every 10% change in the independent variables of customer relationship, speed, or availability, the supply chain agility increased by 1%.

Today, human resources have become the best competitive advantage in organizations. Workforce agility can make an organization superior to other organizations. Therefore, the purpose of this research was to identify and prioritize the components of workforce agility in the insurance industry. This research was of a mixed type. The statistical population of this research included the active employees in the insurance industry of Kerman Province. 8 industry experts were selected as the statistical sample in the qualitative and quantitative phases. In the qualitative phase with thematic analysis approach, the components of workforce agility were identified and the reliability and validity of the tool was confirmed. In the quantitative phase, workforce agility components were prioritized with the fuzzy DEMATEL approach. Qualitative findings showed that sixteen open codes were categorized into six core codes and core codes were categorized into three optional codes including individual, organizational and social characteristics. Selected open codes of workforce agility (as quantitative phase input) included technical knowledge, motivation, trainability, effective communication, emotional intelligence, adaptability, teamwork, creativity and innovation, and analytical ability. The quantitative findings showed that these components, in order of priority, were creativity and innovation, analytical ability, emotional intelligence, motivation, teamwork, technical knowledge, trainability, effective communication, and adaptability. Additionally, the findings showed that teachability, effective communication and adaptability were classified under the cause variables group; emotional intelligence, teamwork, creativity and innovation and analytical ability were grouped under effect variables and technical knowledge and motivation were grouped under neutral variables.

One of the most important issues in gas distribution companies in the country is the multi-level agility of processes in their supply chains. Therefore, the main purpose of this study was to investigate various factors in process agility using the systems dynamics approach. The statistical population of this research comprised of all managers of seven provincial gas supply companies. In this research, the Delphi method was used to identify the variables affecting process agility, statistical tests were used to analyze the correlation between data, the Dimtel method was used to classify the causal and effectual variables, and dynamic system analysis was used for dynamic model analysis and simulation. The validity of the model was measured based on structural and behavioral validity tests. The results showed that due to changes in performance, the cost of implementing changes in a system varied in terms of cycle and in the later stages, the cost of development increased. This delay also increased costs and reduced development productivity. Moreover, the simulation illustrated that process agility helped complete more tasks at a lower cost. The dynamics model developed in this research can be used as a tool by an organization to understand and analyze the effects of different rapid development practices and supply chain management strategies.

The lack of agility in supply chain structures causes many problems in manufacturing and service organizations. Organizations can use business intelligence as a tool to achieve agility and use its benefits.  However, its utilization is always accompanied by a great deal of challenges. This study aimed to design a native model in order to identify strategic bottlenecks and use business intelligence to increase supply chain agility. This study was carried out in two phases. In the first phase (qualitative stage), the strategic bottlenecks were identified by the use of academic and industrial experts’ opinions in the form of Grounded Theory. Then, the relationships between strategic bottleneck elements were identified through DEMATEL method and the research model was extracted in the quantitative step of the research. This was followed by structural equation modeling with partial least squares method applied to fit the model. The statistical sample of this section included the employees of Pegah-e-Gharb Company. According to the research results, nine strategic bottlenecks were identified in the form of 25 sub-categories. Based on the model developed in the present study, communication with customers can positively and significantly affect system flexibility, compliance with business needs, and quality of information sharing in Pegah Company.