جستجوی مقالات مرتبط با کلیدواژه "استوار" در نشریات گروه "مدیریت"

The purpose of this research is to model the supply chain in the conditions of uncertainty from the point of view of Jihadi management. In this research, the modeling of the parameter after the crisis has been done.The importance and position of Jihadi management's view regarding critical conditions is one of the things that was considered in this research. In order to identify the weaknesses and bugs of the existence, from the point of view of the elite group with jihadi management in the field of cement industries, interview tools and content analysis technique for 7 people has been used.For the implementation of the model in larger dimensions, genetic algorithms, particle swarm optimization and simulation cooling were used, and according to the results of the implementation of the algorithms for different dimensions, the genetic algorithm has a higher quality.The reason for examining the role of jihadist management in this process is that in the conditions of uncertainty, the existence of a jihadist thought leads to effective decisions.Since Jihadi management perspective has been used in this research, this model can be designed and implemented in various industries where the time factor is important, and the appropriate supply chain in critical situations.

For this purpose, in this study, modeling is designed to design a dynamic cement supply chain network to reduce post-crisis shortage. The facilities used in the model of this study are of the two types of temporary and permanent ones that are used to meet the severe demand created after the crisis. Time parameter One of the most important parameters is due to the cavitation of cement products and also the need to meet demand at specified time. In this research, this parameter is modeled in normal and post crisis situations. Disaster victims have a different preference for meeting demand. In addition to modeling this issue, alternative or similar items are also considered. Sustainable planning has been used to make sound decisions because of the demand-side sensitivity. Genetic algorithms, particle swarm optimization, and simulation refrigeration have been used to solve larger-scale models of the algorithm. According to the results, the algorithm is of better quality than the algorithms for different dimensions. Due to the importance of demand forecasting during the planning period in this study, the adaptive fuzzy neural network method is used for forecasting demand which FCM is the best known pattern recognition and adaptability algorithm.

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.‎