جستجوی مقالات مرتبط با کلیدواژه « mathematical modelling » در نشریات گروه « صنایع »

Supply chain management is a crucial factor in creating and maintaining a competitive advantage for farmers' products in the market. It serves as a foundational infrastructure for business implementation worldwide. In this article, we will examine a 4-level supply chain for agricultural products, responsible for fulfilling customer orders through an online system. The government makes major decisions for this chain, while the market regulation headquarters carries out executive operations under the supervision and coordination of the Ministry of Industry, Mine and Trade, and Ministry of Economy. Through research and the determination of the best strategies, we utilized the SWOT matrix to analyze internal and external factors influencing the chain. The ideation process and overall set of strategies were determined through open innovation and collaboration between the levels of the chain. We then used Shannon's entropy method, ARAS multi-criteria decision-making method, and mathematical modeling to rank and select the most effective strategies based on implementation costs and available budget. The results of our model showed that the selected strategies primarily focused on increasing motivation and promoting agriculture within society. Keywords: Agricultural supply chain, SWOT analysis, Crowdsourcing, ARAS, Ranking strategies, Mathematical modeling.

New technologies require new approaches to create valuable opportunities in the supply chain to integrate not only the physical progress of goods and services but also massive information and financial data. Using the technology of the day and analyzing the existing data and presenting the reports to the managers of the organization at the right time enable them to make suitable and intelligently decisions due to market fluctuations. It causes to move their effective steps toward the organizations strategic goals. Nowadays, the flexibility of the organizations is very important due to the changing customer’s needs. On the other hand, the suitable time and amount of ordering has a significant impact to reduce the costs and to increase the organization's agility. Cloud technology, as a key feature in today's world, can contribute on data transfer in various performance models of the supply chain and also in analyzing various business parts. For this purpose, this research fallows to explore the use of cloud technology to value the supply chain processes and presents the problem as a mathematical model. The mathematical model has been thoroughly solved and analyzed in the large dimensions of the problem using the best-developed optimization algorithm. The results showed that with the implementation of the proposed supply chain network, transportation and costs reduce significantly and increase company revenue, which lead the companies to the green supply chain. Moreover, by removing intermediaries, the goods are delivered to the final customer with a better price and quality, which result in more customer satisfactions.

Maintenance routing is an important and complicated issue in aviation systems. Determining factors affecting delay and cost of flights is important as they cause customer dissatisfaction. Ramping and maintenance directly affect flights delay and cost. In this research, two novel models on maintenance routing based on flying time (not necessarily duty day) and ramp scheduling are developed. The objectives are cost and delay minimization. The mathematical models are solved using GAMS and sensitivity analyses are presented. The result of sensitivity analysis shows that an increase in the number of aircraft in maintenance model reduces cost and an increase in the number of machines in ramping model reduce delays. So the result shows good performance of the models in reducing costs and delay.