Warehouse Automation

20 Sessions (3 credits)

India is moving towards development of a competitive logistics and supply chain infrastructure to achieve its goals of increased multi-modal connectivity and reduced logistics costs for the country. Warehousing plays a significant role across industries as storage points within the supply chain have multi-faceted functions and responsibilities ranging from consolidation, sortation, storage to break bulk and providing platforms for multiple industries and transportation services to connect and ensure the flow of goods to the right place at the right time. Increasing domestic consumption and export orientation of the economy necessitates the requirement of world-class infrastructure for the warehousing industry as it transforms itself from the traditional “godown” era to an era of tech-enabled infrastructure and unique e-business models. This course explores fundamental aspects of warehousing before delving into the role of analytics, technology and automation for the industry.

Mid-level/Senior-level managers

Warehousing Industry, Logistics & Supply Chain Management Industry, 3PL/4PL industry, IT/Electronics Industry
  • To provide an overview of the role of warehousing in the digital business era, across a wide variety of industries
  • To demonstrate and explain the application of various data analytics tools and decision support systems for managing warehouse operations, planning and execution of activities
  • To provide an overview of recent trends and opportunities for the implementation of technology and automation to enhance productivity levels of warehouse operations
Lectures, Case Studies, Videos, Modeling, Hands-on Sessions
  • Understand the role of warehousing at different nodes within the supply chain and its relationship with the nature of the products and industry sector
  • Apply data analytics tools and techniques to solve a variety warehouse design and operations problems
  • Understand the role of different and upcoming technologies in warehousing
  • Analyze how technology and automation can provide opportunities for productivity enhancement, financial benefits and competitiveness to the manufacturing and logistics sector
 
  1. Bartholdi, John J., and Steven T. Hackman. Warehouse & Distribution Science: Release 0.89. Atlanta: Supply Chain and Logistics Institute, 2008.
  2. De Koster, René BM, Andrew L. Johnson, and Debjit Roy. "Warehouse design and management." International Journal of Production Research 55.21 (2017): 6327-6330.
  3. de Koster, René. "Warehousing 2030." Global logistics and supply chain strategies for the 2020s: Vital skills for the next generation (2022): 243-260.
  4. Wallenburg, C.M., Knemeyer, A.M. (2023). The Future of 3PLs. In: Merkert, R., Hoberg, K. (eds) Global Logistics and Supply Chain Strategies for the 2020s. Springer, Cham. https://doi.org/10.1007/978-3-030-95764-3_7
Session Topic Readings
1 Role of Warehousing in Logistics & SCM - Types of storage locations: warehouse, linefeed stores, factory stores, crossdocks, dark stores, fulfillment centres, distribution centres, regional warehouses, etc. Warehousing in Logistics Parks, MMLPs
  • Bartholdi, John J., and Steven T. Hackman. Warehouse & Distribution Science: Release 0.89. Atlanta: Supply Chain and Logistics Institute, 2008. Chapters 1,2,3
  • National Logistics Policy 2022;
  • Gu, Jinxiang, Marc Goetschalckx, and Leon F. McGinnis. "Research on warehouse operation: A comprehensive review." European journal of operational research 177.1 (2007): 1-21.
2 Introduction to Warehouse Design & Operations (Receiving, QA, Putaway, Decanting, Storage, Pickface Replenishment, Picking, Staging, Despatch) and comparison across sectors (Ecommerce, Pharmaceuticals, Automotive, FMCG, Apparel, Express Delivery)
3 Regulations in Warehouse Design and Operations – A/B/C Grading, Documentation, Process Guidelines
  • e-Handbook on Warehousing Standards 2022, Warehousing Association of India.;
  • WAREHOUSING (DEVELOPMENT AND REGULATION) ACT, 2007
4 Warehouse Sizing through Aggregate Planning (without Product Mix Considerations)
  • Case example
5 Warehouse Sizing with Product Mix Considerations
  • Case example
6 Warehouse Performance Measurement & Management – Metrics (Lines/order, cartons/hour) and their Measurement (time & motion studies), Heat Maps & Dashboards
  • Staudt, Francielly Hedler, et al. "Warehouse performance measurement: a literature review." International Journal of Production Research 53.18 (2015): 5524-5544.
7 Stock Storage Location Allocation using AI/ML
  • Case examples
  • Bartholdi, John J., and Steven T. Hackman. Warehouse & Distribution Science: Release 0.89. Atlanta: Supply Chain and Logistics Institute, 2008. Chapter 14
  • Chuang, Yi-Fei, Hsu-Tung Lee, and Yi-Chuan Lai. "Item-associated cluster assignment model on storage allocation problems." Computers & industrial engineering 63.4 (2012): 1171-1177;
  • Boysen, Nils, Stefan Schwerdfeger, and Konrad Stephan. "A review of synchronization problems in parts-to-picker warehouses." European Journal of Operational Research 307.3 (2023): 1374-1390.
  • Videos
8 Batching, Zoning, Slotting and Bundling Operations using AI/ML
9 Parts to Picker Vs Picker to Parts Systems
10 Manpower Scheduling & Rostering in Warehouse Operations
  • Bartholdi, John J., and Steven T. Hackman. Warehouse & Distribution Science: Release 0.89. Atlanta: Supply Chain and Logistics Institute, 2008. Chapter 11
  • Case Examples
11 Dock Scheduling in Warehouse Operations
12 Technology & Automation in Warehouse Operations: Storage & Material Handling: Pallets, Racks, Drive Through Racks, ASRS
  • Videos
  • Bartholdi, John J., and Steven T. Hackman. Warehouse & Distribution Science: Release 0.89. Atlanta: Supply Chain and Logistics Institute, 2008. Chapter 5,12
  • Azadeh, Kaveh, René De Koster, and Debjit Roy. "Robotized warehouse systems: Developments and research opportunities." ERIM report series research in management Erasmus Research Institute of Management ERS-2017-009-LIS (2017);
  • Qin, Hengle, et al. "JD. com: Operations research algorithms drive intelligent warehouse robots to work." INFORMS Journal on Applied Analytics 52.1 (2022): 42-55.
  • Aussaresse, Sarah. Warehousing trends and innovations: best practices. BS thesis. University of Twente, 2023.
13 Technology & Automation in Storage & Material Handling: Forklifts, Turret Trucks, Robotic Arms, AGVs, Conveyors
14 Technology & Automation in Storage & Material Handling: Dock Levelling, Automated Gates, Vertical Storage Systems
15 Technology & Automation in Inventory Tracking & Location: Track & Trace, Pick/Put to Light, Drones, IOT for Warehousing, Control Towers
16 Cold Storage Systems - Reefer Containers, Vaccine Storage Systems, Monitoring & Control, Maintenance
  • Cold chain dynamics: Mapping India’s logistics transformation, Grant Thornton, 2024
17 Technology Costing & Investment Decisions
  • Bartholdi, John J., and Steven T. Hackman. Warehouse & Distribution Science: Release 0.89. Atlanta: Supply Chain and Logistics Institute, 2008. Chapter 4
  • Murphy, Lorcan Andrew. Increasing e-commerce distribution center capacity through slotting strategy. Diss. Massachusetts Institute of Technology, 2020.
18 Technology Selection Problems
19 Information Systems for Warehousing: WMS & WES
20 Integration with ERP, TMS, OMS and other information systems in the supply chain