The purpose of the paper is to show, through the selection of given criteria, which of them has the greatest impact on food losses in an agricultural-food company. For this purpose, an innovative expert method of multi-criteria decision-making, SiWeC (Simple Weight Calculation), and its fuzzy variant, was applied. The results show that the criteria “poor handling of products during transport” and “inadequate packaging and handling of products” have the greatest impact. Considering the already existing plan of the company to train this part of the work processes, the expert assessment confirms the results of the research. Also, the successful use of this method with the application of fuzzy logic was confirmed, and future research should be directed towards the development of new ways of researching the influence of individual factors on the entire process of supplying food to end consumers.
The aim of this study was to select the best marketing communication channel for a medium-sized agricultural company in the area of the city of Bijeljina by applying multi-criteria decision-making methods. Eight criteria were used for the research, and five communication channels were selected. The research on the importance of individual criteria was influenced by the commercial management of the company in question with their common attitude, i.e. assessment. The Entropy - MABAC method of multi-criteria decision-making was used for the methodology. The results show that the criterion of diversity of new information is the most significant. The best-rated communication channel is the company’s good image. The second-best rated alternative is the use of the internet, specifically social media. The results provide a good basis for further research in this area with the aim of determining the factors that influence the choice of future promotion methods and obtaining useful information.
This study focuses on the theoretical analysis of the application of modeling and mathematical, particularly linear programming, in managerial processes within the agro-industrial complex. The authors have dedicated themselves specifically to defining planning processes, classifying models, and organizing production structures, including vertical and horizontal structures. Despite the fact that the benefits of linear programming have been proven, it is still not widely accepted and applied in our region. The reasons for this can be found in the relative complexity of the process, both in creating logical and mathematical models, and in interpreting results. Although there are specialized software and add-ons such as Solver in MS Excel, they are still not accessible enough to a wider range of users in the agro-industrial sector. It is evident that there is a need for the development of new specialized software solutions with user-friendly interfaces, which would make them more accessible, primarily to advisors, and then to agricultural producers.
The agriculture sector in the Republic of Serbia holds significant economic and social importance due to its substantial contribution to domestic gross domestic product (GDP) and employment of a large number of people. Agricultural products play a crucial role in Serbia's export structure. Food is one of Serbia's major export products, with a trade surplus steadily increasing since 2005. Fruit cultivation, as part of the agricultural sector, is of great importance, with domestic producers effectively utilizing natural advantages for production, thus achieving recognition and competitiveness internationally. This study aims to analyze the trends in foreign trade parameters over a decade, focusing on one agricultural product, specifically apricots. The research employs a quantitative research method using standard descriptive statistical instruments. Results indicate that Serbia maintains a trade surplus in apricots, with significant fluctuations and varying growth and decline trends in analyzed trade parameters over the period.
In this study, the selection of suppliers within an alternative food supply network for fruits and vegetables, specifically Box Schemes, was conducted using multi-criteria decision-making methods. The Entropy-MABAC method was used as the multi-criteria decision-making approach, and the research focused on five suppliers from the city of Novi Sad. Eleven socioeconomic criteria were chosen for the research to identify the most favourable supplier. The results indicate that the criterion "product character," i.e., whether the final agricultural product is organic or conventional, was rated the highest, and the first supplier was selected as the most favourable. These results provide a solid foundation for future research, which should focus on further examining the impact of supply methods on end consumers of agricultural products within the alternative food network and developing new methods to aid in selecting the most favourable supplier.
Paper presents a model for the optimization of primary milk production in the hillymountainous regions of the Republic of Serbia. The goal of creating the model is to demonstrate and analyze the conditions and outcomes of production at the farm, while to find the optimal production structure, considering the organizational, economic, technical, and technological circumstances in which the farm performs its agricultural activities. The model is based on the linear programming optimization method. A mathematical model, or objective function, was established, and constraints were identified. A logical model was created for optimization. The main goal of solving the linear programming problem is to find the maximum or minimum of the objective function. In presented model, the task is to maximize the objective function, what is represented by the farm's net income. By using the linear programming, it is possible to determine the optimal quantities of resources and products to maximize net income, while adhering to resource constraints and other relevant factors.
The aim of the study was to use a multi-criteria decisionmaking method to make a rational choice for a new location for the distribution centre of agricultural products in the northeastern part of Bosnia and Herzegovina, specifically in five populated areas. The required criteria were selected based on experiences from previous research in this field, and decision-makers involved in the selection were engineers and technologists from the company in question. The results indicate that the criteria of construction cost and market connectivity gained the greatest importance, and Brčko was chosen as the location for the future distribution centre among the five populated areas. Additionally, the successful application of the used multi-criteria decision-making method, in this case, the CoCoSo method, was demonstrated. This could lead to improvements in making future business decisions within this economic sector.
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