جستجوی مقالات مرتبط با کلیدواژه "زنجیره تامین هوشمند" در نشریات گروه "مدیریت"

Considering the importance of the supply chain in gaining a competitive advantage, it is said that the competition between organizations has been replaced by the competition between their supply chains. Therefore, the effective management of the supply chain is considered a fundamental factor in the success of organizations. The role of emerging approaches in improving deterrence against military threats shows the importance and necessity of using these approaches in defense industry supply chain management. This research has focused on monitoring and prioritizing the most important new approaches of defense supply chains. The research is fundamental in terms of its purpose, mixed (qualitative-quantitative) in terms of the nature of the data, and descriptive-survey in terms of the data collection method. In this research, first, the literature and background of the subject were reviewed and the most important emerging approaches in the supply chain were identified. After identifying the approaches using experts' opinions and the technology acceptance model, the technology acceptance criteria in defense organizations were localized and finally, prioritization was done using the Electra decision-making method. Among the most important results of the research, we can mention the determination of electronic, flexible, agile and intelligent supply chain as the most important approaches in defense organizations.

The main purpose of the research is to achieve a smart supply chain management model for FMCG industry in Iran. Since this research is of an exploratory mixture type, in qualitative section after reviewing the existing literature and collecting the relevant literature of the researchs, related articles identified and the obtained results analyzed by Multi-Grounded theory. After performing the meta-synthesis method, the selected articles extracted. Then after interviewing with 15 experts, the categories were coded. The result led to the extraction of the model. In the quantitative part, in order to refine the attributes, the DCSM used. Next in qualitative part, for model configuration, FsQCA method implemented. Quantitative data collected from 20 supply chain managers and experts in companies active in FMCG industry in Tehran. Based on the results obtained, the model has 6 main categories, 21 sub-categories and 113 attributes. Also, based on the results of the quantitative section, 92 attributes determined as the most appropriate attributes and then the most suitable combination of the attributes related to the paradigm model determined. The results of the research presented a conceptual model for smart supply chain management in FMCG industry in Iran, which can be used by industrialists and researchers.

The purpose of this research was to provide a mathematical model for smart supply chains with Vendor Managed Inventory (VMI) through the Internet of Things (IoT) technology to overcome traditional supply chain challenges and solve problems such as uncertainty, high costs, and changes in customer demands. Creating an intelligent and agile supply chain is essential to tackle these challenges and problems. Generally, customers are still skeptical and doubtful of the smart supply chain, and this skepticism is more likely to arise in the financial context. To improve efficiency, all organizations and institutions need to adapt themselves to external and internal changes, maintain supply chain inventory, and be flexible with customer demands.

Previous studies discussed intelligent supply chains, IoT, and their combination and described the advantages and disadvantages of using these technologies. Despite much research in this field, no mathematical modeling has been done for a smart supply chain that incorporates technology and automation. Based on such needs and objectives, this study sought to design a two-objective mathematical model, with a four-level supply chain. In this model, there is a direct relationship from suppliers to manufacturers, from producers to retailers, and from retailers to customers. The supply chain was intelligently designed, and the chain levels used Wireless Sensor Network (WSN) technologies, Radio Frequency Identification (RFID), blockchain, and Internet sales.

The designed model in this research was validated by GAMS software. The researchers identified 10 problems of small and medium dimensions in the model. They presented the results in the form of objective function values ​​and solution time. The basic problem was solved using the -constraint method. The results obtained from solving the model and the Pareto diagram were presented in detail. The optimal implementation of the mentioned technologies, as well as the time and cost response to this implementation, proved the efficiency of the model.

The present study put forward a two-objective mathematical planning model. The first and second objectives of this model were to minimize the cost and decrease the time of the supply chain, respectively. By solving the basic problem, using the -constraint method, the values ​​of the objective functions and the Pareto diagram showed desired results. Solving the model in small and medium-sized dimensions using GAMS software, the values of the objective functions and the solution time were achieved. Also, the results proved the validity of the provided model suggesting that it can be used in larger dimensions. However, due to the lack of memory in GAMS software, for large dimensions, the suggested mathematical model for the smart supply chain needs to be checked using MATLAB software and meta-heuristic algorithms.

These days, due to the increasing acceleration of globalization process all around the world, the supply chain has taken on new dimensions and has become much more complex than before. This research is a qualitative study to propose an intelligent supply chain model for providing services in Omid entrepreneurship fund. This research has been conducted by grounded theory approach, Strauss and Corbin model and it has progressed to the theoretical saturation of the interviewees. Population of interest were selected through purposeful sampling from university experts and managers of Omid entrepreneurship fund. A total of 14 semi-structured in-depth interviews were conducted. From the text of the interviews, 1165 open codes were counted and finally 38 codes were selected as main components. To code, atlas TI software version 8 was resorted and the components were identified and a conceptual model of the research was drawn. The most important major factors include intelligent information flow, intelligent financial resources flow, information technology, intelligent communication, transparency, sharing and expert human resources. The components of other factors are categorized under the main categories and then the results and consequences of the implementation of the intelligent supply chain are divided into four levels: company, customers, community and government.

Due to the increasing requirement in the manufacturing industry and the rapid development of technology, the traditional supply chains face many challenges such as changes in demand and transportation problems so that they need the flexibility in capacity, lead time, and distribution channels. In this research, in order to overcome the problems of the traditional supply chain, a supply chain based on ICPT in the MTS production environment called smart supply chain is considered where including four levels of manufacturer, warehouse, distributor, and customer that the goal is to maximize profits and minimize lead time. At first, a Mixed Integer Non-Linear Programming was proposed for the problem, then a sample problem was solved by the augmented ε-constraint technique in GAMS and the results were analyzed. Two scenarios of increment of demand and adding a new product were examined which all of them showed the accuracy of the model and the efficiency of the proposed method.