This book lays the foundations for quality modeling and analysis in the context of supply chains through a synthesis of the economics, operations management, as well as operations research/management science literature on quality. The reality of today’s supply chain networks, given their global reach from sourcing locations to points of demand, is further challenged by such issues as the growth in outsourcing as well as the information asymmetry associated with what producers know about the quality of their products and what consumers know. Although much of the related literature has focused on the micro aspects of supply chain networks, considering two or three decision-makers, it is essential to capture the scale of supply chain networks in a holistic manner that occurs in practice in order to be able to evaluate and analyze the competition and the impacts on supply chain quality in a quantifiable manner.
This volume provides an overview of the fundamental methodologies utilized in this book, including optimization theory, game theory, variational inequality theory, and projected dynamical systems theory. It then focuses on major issues in today’s supply chains with respect to quality, beginning with information asymmetry, followed by product differentiation and branding, the outsourcing of production, from components to final products, to quality in freight service provision. The book is filled with numerous real-life examples in order to emphasize the generality and pragmatism of the models and tools. The novelty of the framework lies in a network economics perspective through which the authors identify the underlying network structure of the various supply chains, coupled with the behavior of the decision-makers, ranging from suppliers and manufacturers to freight service providers. What is meant by quality is rigorously defined and quantified. The authors explore the underlying dynamics associated with the competitive processes along with the equilibrium solutions. As appropriate, the supply chain decision-makers compete in terms of quantity and quality, or in price and quality. The relevance of the various models that are developed to specific industrial sectors, including pharmaceuticals and high technology products, is clearly made. Qualitative analyses are provided, along with effective, and, easy to implement, computational procedures. Finally, the impacts of policy interventions, in the form of minimum quality standards, and their ramifications, in terms of product prices, quality levels, as well as profits are explored. The book is filled with many network figures, graphs, and tables with data.
Inhaltsverzeichnis
Part I Quality and Supply Chains.- Introduction.- Methodological Foundations.- Part II Information Asymmetry in Quality.- Information Asymmetry and Minimum Quality Standards in Supply Chain Oligopolies.- Information Asymmetry in Perfectly Competitive Spatial Price Equilibrium Problems.- Part III Quality in Product Differentiation and Outsourcing.- Supply Chain Network Oligopolies with Product Differentiation.- Supply Chain Network Competition with Multiple Freight Options.- Outsourcing Under Price and Quality Competition – Single Firm Case.- Outsourcing Under Price and Quality Competition – Multiple Firms.- Part IV Supplier Quality and Freight Quality Chapter.- The General Multitiered Supply Chain Network Model with Performance Indicators.- The General Multitiered Supply Chain Model of Quality Competition with Suppliers.- The Supply Chain Network Model with Freight Service Provider Competition.- Supply Chain Network Competition in Prices and Quality.
Über den Autor
Anna Nagurney is the John F. Smith Memorial Professor in the Department of Operations and Information Management in the Isenberg School of Management at the University of Massachusetts Amherst. She is also the Founding Director of the Virtual Center for Supernetworks and the Supernetworks Laboratory for Computation and Visualization at UMass Amherst. She is an Affiliated Faculty Member of the Department of Civil and Environmental Engineering and the Department of Mechanical and Industrial Engineering at UMass Amherst. She received her AB, Sc B, Sc M, and Ph D degrees from Brown University in Providence, Rhode Island. She devotes her career to education and research that combines operations research / management science, engineering, and economics. Her focus is the applied and theoretical aspects of network systems, particularly in the areas of transportation and logistics, critical infrastructure, and in economics and finance. She is an INFORMS Fellow and author or co-author of over a dozen books, including a Springer Brief and ISOR Volume.
Dong (Michelle) Li is an Assistant Professor in the Department of Management and Marketing at the College of Business at Arkansas State University and a Center Associate at the Virtual Center for Supernetworks at the Isenberg School of Management, University of Massachusetts Amherst. She earned her B.S. in Industrial Engineering at Nankai University, China. Her research interests include operations research/management science, operations management, network optimization, variational inequalities, dynamical systems, game theory, multicriteria decision-making, quality competition in supply chain networks, pharmaceutical supply chains, sustainable systems, outsourcing, information asymmetry, and hazmat transportation.
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