Industrial Systems Analysis and Design

The course “Industrial Systems Analysis and Design” provides students with a comprehensive understanding of the principles, methodologies, and tools used in the analysis and design of industrial systems. Through a combination of theoretical knowledge, case studies, and practical exercises, students will learn how to analyze, model, and optimize various aspects of industrial systems to improve efficiency, productivity, and overall performance.

The course begins by introducing students to the fundamental concepts and objectives of industrial systems analysis and design. They will learn about the key components of industrial systems, including production processes, facilities, equipment, and human resources. Students will also gain insights into the importance of system analysis and design in enhancing competitiveness, reducing costs, and meeting customer demands.

Building upon this foundation, the course focuses on various analysis techniques and tools used in industrial systems. Students will learn how to conduct quantitative and qualitative analysis to identify bottlenecks, inefficiencies, and areas for improvement. They will explore methods such as time and motion study, work sampling, process mapping, and value stream mapping to identify process constraints and optimize workflows.

The course covers topics related to system modelling and simulation. Students will learn how to use computer-based tools and software to create models that represent different aspects of industrial systems, such as production lines, supply chains, and distribution networks. They will gain insights into simulation techniques to evaluate system performance, assess the impact of changes, and make informed decisions for process improvement.

Furthermore, the course addresses the design and optimization of industrial systems. Students will learn about methodologies such as lean manufacturing, Six Sigma, and Total Quality Management (TQM) to improve process efficiency, reduce waste, and enhance product quality. They will explore techniques for facility layout design, production planning, inventory management, and workforce allocation to optimize resource utilization and streamline operations.

The course also focuses on the integration of technology and automation in industrial systems. Students will learn about the principles and applications of technologies such as robotics, artificial intelligence, and Internet of Things (IoT) in improving system performance and decision-making. They will explore the challenges and benefits associated with digital transformation and industry 4.0 concepts in industrial systems.

Throughout the course, students will engage in case studies, group discussions, and practical exercises to apply their knowledge in industrial systems analysis and design. They will have the opportunity to work on real-world industrial problems, develop system improvement plans, and propose innovative solutions to enhance overall system performance.

By the end of the course, students will have acquired a comprehensive understanding of industrial systems analysis and design. They will have developed the skills to identify system inefficiencies, model and simulate industrial processes, optimize workflows, and design effective industrial systems. This knowledge will prepare them for careers in industrial engineering, operations management, process improvement, or related fields where expertise in industrial systems analysis and design is essential for maximizing productivity and competitiveness.