This comprehensive Handbook provides an overview of state-of-the-art research on quantitative models for inventory management. Despite over half a century's progress, inventory management remains a challenge, as evidenced by the recent Covid-19 pandemic. With an expanse of world-renowned inventory scholars from major international research universities, this Handbook explores key areas including mathematical modelling, the interplay of inventory decisions and other business decisions and the unique challenges posed to multiple industries. Organized into three distinct sections, chapters summarize the key developments in quantitative inventory research over the past two decades. Mapping out the fundamental theories and methodologies of inventory management, the Handbook examines interfaces and explores interdisciplinary topics in response to technological advancement and globalization. It concludes with an analysis of context-specific models, discussing tailored modelling and analytical solutions of inventory systems in the fast-changing industries of healthcare, spare parts logistics, retailing, and online retailing. An important reference tool, this Handbook will be essential to scholars and researchers invested in the fields of business and operations and supply chain management. Its insightful coverage of the practicalities of current research will be indispensable for practitioners and regulators within these fields.

This comprehensive Handbook provides an overview of state-of-the-art research on quantitative models for inventory management. Despite over half a century’s progress, inventory management remains a challenge, as evidenced by the recent Covid-19 pandemic. With an expanse of world-renowned inventory scholars from major international research universities, this Handbook explores key areas including mathematical modelling, the interplay of inventory decisions and other business decisions and the unique challenges posed to multiple industries.

Stock management and control is a critical element to the success and overall financial well-being of an organization. Through the application of innovative practices and technology, businesses are now able to effectively monitor their operations and manage their inventory by evaluating sales patterns and customer preferences. The Handbook of Research on Promoting Business Process Improvement Through Inventory Control Techniques is a critical scholarly resource that examines optimization techniques, data mining concepts, and genetic algorithms to manage inventory control. Featuring coverage on a broad range of topics such as logistics and supply chain management, stochastic inventory modelling, and inventory management in healthcare, this book is geared towards academicians, practitioners, and researchers seeking various research methods to get optimal ordering policy.

Pushing the boundaries of flood risk management research, this comprehensive Research Handbook presents pragmatic insights into all areas relating to flood risk. Through its use of dynamic and people-centred paradigms, it explores urban flood management within localities, properties, neighbourhoods and cities.

This comprehensive Research Handbook reflects the latest research breakthroughs and practices in services management. Addressing services management from a broader strategic perspective, it delves into the key issues of analytics and service robots, and their potential impact. Edited by the late Mark M. Davis, it represents an early foray into the new frontier of services management and provides insights into the future of the field.

The role of the accountant is changing, as developments in technology alter the ways in which information is prepared and analysed. This Research Handbook addresses the use of both financial and non-financial information for planning, decision-making and control in organisations. Written by experts in the field, the book uses comprehensive literature reviews, empirical fieldwork and theoretical developments to provide an overview of research in this important area.

This pioneering Research Handbook on Public Management and Artificial Intelligence provides a comprehensive overview of the potentials, challenges, and governance principles of AI in a public management context. Multidisciplinary in approach, it draws on a variety of jurisdictional perspectives and expertly analyses key topics relating to this socio-technical phenomenon.