Join our mailing list
Get exclusive deals and learn about new products!
Reliable shipping
Flexible returns
In an era of supply chain volatility and rapid technological disruption, warehouse operations must evolve beyond mere efficiency. This book offers a practical roadmap for designing and managing warehouses that are not only fast and lean but also resilient, adaptive, and intelligent.
Drawing on real-world case studies and research-backed frameworks, the book explores the next generation of warehouse systems. It introduces tools such as automation readiness frameworks, orchestration resilience principles, digital twins, and AI-enhanced Lean Six Sigma to help practitioners address coordination failures, design gaps, and the need for human-in-the-loop oversight.
The book is structured in three parts to guide readers from foundational insights to strategic transformation. Part I redefines smart warehousing through a resilience lens, analyzing why many high-tech warehouses remain fragile. Part II offers practical tools, frameworks, and emerging technologies to operationalize resilient design. Part III focuses on transformation, addressing workforce readiness, education, ethical automation, and the strategic roadmap to 2030.
Whether you’re a warehouse manager, operations strategist, or technology leader, this book equips you to build smarter systems that thrive under pressure.
Naveen Chandra Kukkala is a supply chain thought leader and Director of Distribution at EssilorLuxottica North America, with over a decade of experience in warehousing automation, AI integration, and operational excellence. He holds dual Master's degrees in Industrial and Systems Engineering and Project Management, along with PMP and Lean Six Sigma Black Belt certifications. A regular conference speaker at WERC, Home Delivery World, and CSCMP EDGE, he also serves on the editorial review board of the International Journal of Information Systems and Supply Chain Management. His original frameworks on automation readiness and labor orchestration bridge academic research with real-world warehouse operations.
Anupam Bandyopadhyay is a global supply chain transformation leader with over 18 years of experience designing intelligent warehouse and logistics ecosystems. At Manhattan Associates, he leads large-scale supply chain implementations integrating warehouse management systems, robotics automation, supply chain analytics. Throughout his career, Anupam has guided organizations across retail, apparel, consumer goods, and third-party logistics industries in modernizing their fulfillment networks and building resilient, automation-ready supply chains.
Shiva Kumar Ramavath is an AI Machine Learning Engineer and Data Scientist researcher specializing in supply chain analytics, intelligent logistics, and applied AI systems with over a decade of experience developing data-driven solutions across retail, telecommunications, and manufacturing domains. His work focuses on leveraging machine learning, artificial intelligence, and advanced analytics to improve operational efficiency and decision-making in complex supply chain environments.
Senthilkumar Thiyagarajan, Ph.D is a supply chain analytics professional at Medline Industries, where he leads initiatives that transform healthcare supply chains through advanced analytics and technology-driven solutions. He holds a Ph.D. in Supply Chain Management from Purdue University, with research focus on supply chain resilience, Industry 4.0, and digital twin applications. His research and publications span supply chain management, Lean Six Sigma, quality management, and digital transformation, published in leading international journals and conferences. Senthil is a Senior Member of IISE and serves on the Board of the Logistics and Supply Chain Management Division. He also serves on the advisory boards of ISCEA Healthcare IMPA, CCALS and is a founding member of Saint Louis University’s Technology in Supply Chain Advisory Board. A Lean Six Sigma Black Belt, he leads the Supply Chain Content Management Committee at ASQ QMD.
| Publication Date: | 12 September 2026 |
| Publisher: | Springer Nature Switzerland |
| Imprint: | Palgrave Macmillan |
| ISBN-13: | 9783032251299 |
| Format: | Hardback |
| Page Count: | 244 |