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Designing of Nutritional Foods through Economic and Mathematical Model

Author

Listed:
  • Iuliana Dobre

    (The Bucharest University of Economic Studies, Romania)

  • Stefania Daniela Bran

    (The Bucharest University of Economic Studies, Romania)

  • Mariana Bran

    (The Bucharest University of Economic Studies, Romania)

Abstract

The study refers to designing vitamin C in order to find out its sortimental structure. The relevance of vitamin C is because it is found in most foods. The paper is based mainly on methodologically of analysis and synthesis using the linear programming method. The analysis takes into account three direction: dynamics, correlation and causal. As a result, the assessments made in the analysis were presented and summarizes the trend, aiming, of course, not be overlooked key aspects of the production structure of the reference period. To meet market requirements, the companies must reorganize production structure. Starting from market studies regarding of the consumption needs of the population, is set up what will happen and how much of each sortiment of vitamin C. When choose sortiment have had on the availability of various kinds of companies (potentials) and the income it generates marketing of products. Through a selection process and combining all of these conditions, result maintenance of companies. The problem is to determine the structure (shares) of these conditions in the company’s work. The optimal solution for combining these sortiments requires building a model of economic and mathematical linear programming. Linear programming is a quantitative method used in the decision process for selecting optimal management. The results shows that the solution is when the profit is higher.

Suggested Citation

  • Iuliana Dobre & Stefania Daniela Bran & Mariana Bran, 2017. "Designing of Nutritional Foods through Economic and Mathematical Model," International Conference on Competitiveness of Agro-food and Environmental Economy Proceedings, The Bucharest University of Economic Studies, vol. 6, pages 137-144.
  • Handle: RePEc:aes:icafee:v:6:y:2017:p:137-144
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