This course aims to introduce the fundamental concepts and techniques for designing, managing, and operating contemporary warehouses.|
After successful completion of the course, the student is able to:
- Explain the role of warehousing in supply chains and identify warehouse types, functions, and operations.
- Discuss major planning, design, management, and control decisions in contemporary warehouses.
- Discuss storage and material handling objectives, principles, and technology.
- Discuss emerging warehousing challenges, trends, and innovations.
- Implement quantitative methods to optimize distribution networks and warehouses’ design, management, and operations.
- Analyze relevant data and evaluate performance metrics to support decision-making in a warehousing environment.
- Synthesize and critically evaluate relevant warehousing research and literature to inform best practices
- Introduction: The role of warehouses in supply chains; warehouse functions, classifications, and types; warehouse management systems; warehousing strategic, tactical, and operational planning decisions.
- Distribution network design: Distribution trade-offs (ownership vs. outsourcing, centralized vs. decentralized, number of facilities); facility location (median-based/covering-based model formulations, heuristic solutions).
- Warehouse performance evaluation: Costs and trade-offs; performance metrics; activity profiling.
- Warehouse design: Space requirement planning; facility layout problem; material handling equipment; aisle width and lane depth optimization.
- Warehouse operation:
- receiving, put-away, cross-docking;
- storage: Inventory management, fast-pick area design (fluid model), slotting, storage, cube-per-order index (COI);
- order-picking: order-picking systems (RMFS, AS/RS), order picking-schemes (batch, zone, wave picking); routing (TSP, Chebyshev distance metric, Ratliff & Rosenthal algorithm, Hall algorithm);
- replenishment, shipping, and support processes (inventory counting, value-adding services, reverse logistics).
- Warehouse challenges, trends, and innovations: External change drivers; the warehouse of the future (robotized and automated warehouses, physical internet).
- Exam (50%)
- Quizzes* (15%)
- Group assignments (20%)
- Individual assignments (15%)
*There are four in-class quizzes in this course. Attendance to at least three of them is required.
Assumed previous knowledge
|• Elementary computer programming: If-then-else statements, for/while loops, local/global variables, functions, and procedures|
• Operations research techniques: mathematical programming/model formulation and optimization heuristics.
|Master Mechanical Engineering|
|Master Industrial Engineering and Management||Required materials-Recommended materials|
|John J. Bartholdi, & Steven T. Hackman. (2019). Warehouse & Distribution Science. (http://www.warehouse-science.com/).|
|Frazelle, E. (2016). World-class warehousing and material handling (Second Edition). McGraw-Hill Education|
|Richards, G. (2021). Warehouse management: The definitive guide to improving efficiency and minimizing costs in the modern warehouse (Fourth edition). Kogan Page|
|Heragu, S. S. (2022). Facilities design (Fifth edition). CRC Press.|
RemarkAttendance is mandatory only at guest lectures
|Exam and assignments|