This edited book addresses the challenges in managing the operations and
supply chain of organizations in the era of internet of things and
Industry 4.0. It presents cutting edge research on real world operations
related problems, in-depth analyses, and relevant managerial
implications. Wide variety of solution approaches such as quantitative,
quantitative, and simulations are presented in the context of managing
the operations and supply chains. Consisting of selected papers from the
XXIII Annual International Conference of Society of Operations
Management, this volume is part of a two volume series with the other
book consisting of chapters on quantitative decision making.
This edited book covers various quantitative models on operations and
supply chain management such as inventory optimization, machine
learning-operations research integrated model for healthcare systems,
game-theoretic analysis of review strategies in truthful information
sharing, design of contracts in supply chains, supply chain
optimization, inventory routing, and shop floor scheduling. In addition
to the quantitative models, several innovative heuristics are proposed
for different problems. This book explores qualitative models on
improving the performance of small and medium enterprises and petroleum
industries and a simulation model for staff allocation in the
information technology industry. Finally, this book provides review
articles on vaccine supply chains and behavioral operations management.
The book throws light on the emerging trends in the use of analytics,
optimization, and simulation tools and empirical analysis to improve the
performance of operations and supply chains of organizations*.* It will
serve as an essential resource for practitioners, students, faculty
members and scholars in operations management and related areas to gain
knowledge and pursue high quality research on developments in areas such
as managing the resource management and the solution
methodology---innovative tools employed in addressing the real world
problems and the different optimization techniques.
