- Aligning course content with real-world issues
- Problem identification and resolution strategy development
- Integration of mutually supportive academic disciplines
- International perspectives grounded in national excellence
- Optimal utilization of information and communication technologies to promote creativity and innovation
The Doctoral Program focuses on the application and advancement of knowledge in the agro-industrial sector. This field emphasizes the integration of engineering principles, systems, and management approaches in agro-industry—beginning from raw material handling to production and downstream processes—within an integrated system framework. These processes aim to create added value and innovation, fostering sustainable competitive advantage.
The program’s academic activities are supported by six specialized laboratories within the Department of Agro-Industrial Technology , each with its own field of expertise:
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Industrial Systems Analysis and Simulation Laboratory
Competency: Expertise in industrial systems analysis and simulation, including operations research techniques, mathematics, programming languages, and optimization and simulation methods.
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Bioindustry Laboratory
Competency: Knowledge in biological sciences applied to industrial activities and evaluating the chemical aspects of food materials.
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Quality Analysis and Standardization Laboratory
Competency: Conducting testing and standardized measurements in agro-industrial products, applying fundamental sciences, descriptive and inferential statistics, and sampling techniques to address issues of quality and standardization.
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Industrial Design and By-product Management Laboratory
Competency: Understanding of process engineering and handling of industrial by-products.
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Industrial Systems Management Laboratory
Competency: Mastery in industrial system management, including business management and economics, organizational analysis, and both quantitative and qualitative analytical methods.
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Production Systems Laboratory
Competency: Designing, implementing, and controlling agricultural production and distribution systems with a focus on productivity factors.