Organic Products And Health: Contemporary Medical Aspects, Food Safety, And Digital Erp Technologies

Abstract

Modern medicine is paying increasing attention to the quality of nutrition as a key factor in the prevention of chronic diseases. Organic products are considered an important component of a healthy diet due to their minimal pesticide content, absence of chemical fertilizers, and higher concentration of biologically active substances.

However, organic production remains a challenging task: it requires strict compliance with environmental standards, logistics control, seasonality, and precise quality management. The article proposes a dynamic adaptive planning (DAP) model using the Odoo ERP system, which ensures food safety, improves product quality, and increases their health benefits for consumers.

The ERP model demonstrates:

– a reduction in the toxic load on the consumer's body by tracking all stages of production

 – operational control of biological risks (mold, microbiological contamination, toxins)

 – improved nutrient composition of products through compliance with organic methods

 – a 2–4% reduction in production costs and increased production stability

 – increased transparency and traceability, which is critical for clinical and preventive standards

It should be noted that planning the production of organic products is a complex process due to the specifics of the industry: strict quality standards, limited product shelf life, environmental requirements, and logistical challenges.

Effective management of such production requires a comprehensive and flexible model that takes into account seasonality, environmental restrictions, minimum storage periods, and other factors.

The article proposes a dynamic adaptive model for planning the production of organic products, covering all stages from planting to sale. The model integrates modern automation tools based on the Odoo ERP system, which allows for variable factors such as weather conditions, changes in demand, and delivery delays to be taken into account.

The developed model provides the following results:

• a 2–4% reduction in production costs;
• operational control and traceability of all stages of production;
• improved management of product quality, inventory, and delivery times;
• flexibility in adapting plans to changes in external conditions, including seasonal fluctuations and force majeure;
• automated control of certificates and documentation.

The proposed solution demonstrates high efficiency in the management of organic product manufacturing, ensuring cost reduction and increased process transparency.