Mobile Robot Automation in Warehouses

A Framework for Decision Making and Integration
1. Auflage 2023
ISBN: 978-3-031-12306-1
Verlag: Springer International Publishing

Buch, Englisch, 150 Seiten, Format (B × H): 153 mm x 216 mm, Gewicht: 338 g

Reihe: Palgrave Studies in Logistics and Supply Chain Management

This book illustrates the applications of mobile robot systems in warehouse operations with an integrated decision framework for their selection and application. Mobile robot systems are an automation solution in warehouses that make order fulfillment agile, flexible and scalable to cope with the increasing volume and complexity of customer orders. Compared with manual operations, they combine higher productivity and throughput with lower operating costs. As the practical use of mobile robot systems is increasing, decision-makers are confronted with a plethora of decisions. Still, research is lagging in providing the needed academic insights and managerial guidance. The lack of a structured decision framework tailored for mobile robot system applications in warehouses increases the probability of problems when choosing automation systems. This book demonstrates the characteristics of mobile robot systems which reinforce warehouse managers in identifying, evaluating and choosingcandidate systems through multiple criteria. Furthermore, the managerial decision framework covering decisions at strategic, tactical and operational levels in detail helps decision-makers to implement a mobile robot solution step-by-step. This book puts special emphasis on change management and operational control of mobile robots using path planning and task allocation algorithms. The book also introduces focus areas that require particular attention to aid the efficiency and practical application of these systems, such as facility layout planning, robot fleet sizing, and human-robot interaction. It will be essential reading for academics and students working on digital warehousing and logistics, as well as practitioners in warehouses looking to make informed decisions.

Zielgruppe

Research

Autoren/Hrsg.

Yildirim, Alp

Aktas, Emel

Reefke, Hendrik

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Lagerhaltung und Versand
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
• Wirtschaftswissenschaften Betriebswirtschaft Betriebswirtschaft: Theorie & Allgemeines
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Einkauf, Logistik, Supply-Chain-Management
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management

Inhaltsverzeichnis

1. Introduction.- 2. Methodology.- 3. Mobile Robot Systems and Their Evaluation.- 4. Mobile Robot Management: Focus Areas at the Strategic Level.- 5. Mobile Robot Management: Focus Areas at the Tactical Level.- 6. Mobile Robot Management: Focus Areas at the Operational Level.- 7. Managerial Decision Framework and Further Considerations.- 8. Research Agenda.- 9. Conclusion.

Über Autor(innen)

Alp Yildirim is on the Leadership and Management PhD programme in Cranfield School of Management, UK. Previously, he worked in the technology sector and co-founded an innovative manufacturing company, Sanayi Sepeti Ltd. His current research topic is mobile robot automation and throughput optimisation in warehouses.

Hendrik Reefke is a Senior Lecturer in Supply Chain Management and Course Director of the full-time Logistics, Procurement and Supply Chain Management MSc course at Cranfield School of Management, UK.  He is an active researcher, focusing primarily on sustainable supply chain management, service supply chains, as well as performance measurement and reporting.

Emel Aktas is Professor of Supply Chain Analytics at Cranfield School of Management, UK. Her research interests are logistics and transportation, supply chain decisions, mathematical modelling and optimisation, and she is currently working on minimising carbon emissions in maritime logistics with focus on the trade-off between service levels and fuel consumption.