Optimization Experiment of Production Processes Using a Dynamic Decision Support Method: A Solution to Complex...

Area of Science:

• Industrial Engineering and Operations Research
• Manufacturing Systems and Automation
• Management Science and Information Systems

Background:

• Industrial production processes face persistent issues and delays, often requiring expert intervention despite Industry 4.0 advancements.
• Small and medium-sized enterprises (SMEs) struggle with implementing advanced Industry 4.0 technologies, leading to reliance on human expertise and potential production bottlenecks.
• The dynamic nature of SME production, characterized by niche markets and small batches, necessitates rapid response and optimized planning.

Purpose of the Study:

• To develop and present a decision support method for dynamic production planning (DSM DPP) tailored for optimizing industrial production processes.
• To integrate both technical capabilities of Industry 4.0 and human factors into a unified optimization framework for dynamic production planning.
• To address the limitations of existing methods by incorporating human elements like operator skills, working speed, and salary considerations.

Main Methods:

• Development of a decision support module using algorithms and MATLAB programming for real-time problem-solving in production.
• Incorporation of real-time data from Industry 4.0 technologies, including Industrial Internet of Things (IIoT), blockchains, and sensors.
• Validation of the DSM DPP method through testing with real production data from a Lithuanian metal processing company.

Main Results:

• The DSM DPP method demonstrated effectiveness in optimizing dynamic production planning by combining technical and human factors.
• The developed module provides real-time solutions for complex production issues, adaptable to various industrial settings.
• Testing confirmed the method's universality and potential for significant improvements in production efficiency and profitability for SMEs.

Conclusions:

• The DSM DPP method offers a practical solution for optimizing dynamic production planning in industrial settings, particularly for SMEs.
• Integrating human factors alongside Industry 4.0 technologies is crucial for enhancing production efficiency and achieving greater profitability.
• The study highlights the potential of DSM DPP to revolutionize production management by leveraging real-time data and a holistic approach.