چكيده به لاتين
Many of the raw materials used in the food and non-food industries of the people of a society are perishable items. To increase productivity and reduce the costs of disposing of perishable items in industries, there are models called inventory models, including ordering methods and economic production, some of which provide customers with certain conditions to expedite the sale of products. In the case of a quick sale, in many cases it is not possible to pay for the purchase in cash to the buyer. Therefore, the buyer pays for the purchase of the products using a check and relying on the supplier's trust in order for the supplier to receive the money within a certain period of time (business credit period). On the other hand, in various industries, especially in the food industry, there are certain requirements that force producers to comply with laws to protect the environment. Observance of these requirements is usually accompanied by significant costs that affect the amount of final profit earned.
Due to the environmental requirements of the treatment plant in the inventory system, this research becomes necessary. The cost of a refinery for recycled products, considering the perishability of the products, is a major challenge for the inventory system of beverage factories. The importance of research is in adding environmental requirements to a perishable inventory system, taking into account payment delays that have not been considered before. In addition to greening the inventory model and taking into account the environmental responsibility of the beverage factory, these requirements also manage costs.
In this study, a model of economic order is presented in which, in addition to considering the deterioration of items as a function of time, the trade credit period is also considered as payable and receivable interests. Sustainability requirements in the inventory system were added to the inventory model as the cost of refining products returned to the treatment plant. In addition, the demand function is inversely related to the selling price and the ratio of returned items.
To validate the problem, the mathematical model was solved with real-world data, and to validate the problem, in one of the possible states of the problem, sensitivity analysis was performed on all parameters. Then, the results of sensitivity analysis were examined in the form of graphs and based on these graphs, appropriate management insights were presented. Finally, recommendations for future research and development of proposed model were presented that can be considered by other researchers.
