Supply Chain Engineering Lab.

The Supply Chain Engineering Lab will establish research frameworks for analyzing, designing, and developing competitive supply chain strategies, policies, and operational plans using an engineering approach, including optimization and simulation techniques. The research topics will evolve in line with recent updates in the business environment, allowing us to continuously expand our focus by incorporating new agendas and business concerns.

From high-level business strategy to detailed execution, a wide range of challenges and issues are expected to arise. These will need to be carefully studied to fulfill the objectives of effective supply chain management. The lab will cover various aspects of supply chain management, ensuring both theoretical depth and practical relevance in its research.

Major Research Topics and Directions :

[1] Development of Optimization Models for Supply Chain Integration

• Exploring New Frontiers in Intelligent Supply Chain Systems

Focus on identifying and uncovering emerging areas that can enhance the capabilities of intelligent supply chain systems.

• Embracing Cutting-Edge Technologies for Supply Chain Optimization

Adoption of advanced technologies aimed at streamlining and optimizing supply chain processes for greater efficiency and competitiveness.

• Advanced Integration for Sustainable, Closed-Loop Supply Chains

Developing strategies for integrating sustainable practices into closed-loop supply chains, ensuring both environmental responsibility and operational excellence.

[2] Inventory Design for Supply Chain Strategies

• Strategic Development of Inventory Design to Ensure a Competitive Supply Chain

Creating and implementing strategic inventory design frameworks that enhance supply chain competitiveness by ensuring optimal stock levels and efficient resource allocation.

• Optimized Product Variety Management

Developing methods to manage product variety efficiently, balancing customer demands with cost and operational efficiency to avoid complexity and maintain competitiveness.

• Effective Product Life-cycle Management (New Product Introduction, End-of-Life Management)

Establishing comprehensive strategies for managing product life cycles, from the introduction of new products to their end-of-life phase, ensuring smooth transitions, minimal disruptions, and maximized product profitability.

[3] Strategy Development of the Ramp-up Production System

• Managing Profitable Product Portfolios for Multi-Product Operations

Developing strategies to effectively manage a diverse product portfolio, focusing on maximizing profitability while handling multiple products across different stages of the supply chain.

• Development of Optimization Models for Ramp-Up Production Policies

Creating optimization models to design efficient ramp-up production policies, ensuring smooth scaling of production capacity while minimizing costs and meeting market demand during product launches or expansions.

[4] Intelligent Warehouse Management/Execution/Control System

• Development of Optimization Models for Designing Intelligent Warehousing Systems

Creating advanced optimization models to design intelligent warehousing systems that leverage automation, real-time data, and efficient resource management to enhance storage, retrieval, and overall warehouse performance.

• Study of Practical Solution Procedures for Operating Mega Distribution Centers

Investigating and developing practical solution methodologies for efficiently operating large-scale distribution centers, focusing on streamlining logistics, reducing operational costs, and optimizing throughput to handle high volumes of goods.

[5] Human Factors in Advanced Logistics System

• Human-Machine Integration for Logistics Systems

Exploring the seamless integration of human expertise and machine automation in logistics systems to improve operational efficiency, decision-making, and adaptability, ensuring optimal collaboration between human operators and automated technologies.

• Development of Optimization Models for Integrated Logistics System Design

Creating optimization models that enable the holistic design of logistics systems, integrating various components such as transportation, warehousing, and inventory management for streamlined, cost-effective operations.

• Consideration of Physical and Psychological Aspects in Logistics System Design

Incorporating both physical ergonomics and psychological factors into logistics system design to enhance worker well-being, productivity, and safety, while ensuring the smooth interaction between humans and automated systems.