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Despite significant achievements, the discipline of supply chain management is still unable to satisfactorily handle many practical real-world challenges. The authors of Networks Against Time claim that a unified supply chain network analytics framework is needed which should be able to handle optimization and competitive behavior while also maintain relevance to many industrial sectors in which perishable products are prominent, from healthcare to food and from fashion apparel to technology. This Brief provides a wide range of critical supply chain problems which are modeled as generalized networks. Guidelines are provided to determine the arc multipliers that capture perish ability of the product whether food, radioisotopes, or even highly perishable blood in healthcare over space and time. Through case studies the authors portray the application of the models and algorithms to real-world sectors which illustrate the power of the framework in practice. The models and algorithms are fully described along with the input and output data in the case studies. This level of transparency is useful pedagogically as well as for future research and for applications in practice. Researchers and practitioners in mathematics, in operations research and management science, operations management, as well as in economics and computer science will find this book useful to gain a broader appreciation of the richness of network supply chain structures, processes, and applications. This book can also be used by advanced undergraduate students and graduate students in the disciplines noted above to familiarize themselves with methodologies and supply chain network models and applications.​​

Inhaltsverzeichnis

Frontmatter

Introduction and Scope

Frontmatter

Chapter 1. Introduction and Scope

Abstract
In this chapter, we highlight the background behind and the motivation for a unified approach to supply chain network analytics for time-sensitive, perishable products. We describe the methodological framework and provide the organization of the book, detailing the featured applications in sectors ranging from healthcare, including pharmaceutical, blood, and medical nuclear supply chains, to food and fashion apparel that are explored in depth through models and case studies.
Anna Nagurney, Min Yu, Amir H. Masoumi, Ladimer S. Nagurney

Supply Chain Network Optimization Models and Applications

Frontmatter

Chapter 2. Blood Supply Chains

Abstract
In this chapter, we develop a blood supply chain generalized network optimization model. The model captures the perishability of this lifesaving product through the use of arc multipliers. It contains discarding costs associated with waste/disposal, handles uncertainty associated with demand points, assesses costs associated with shortages/surpluses at the demand points, and quantifies the supply-side risk associated with procurement and other supply chain activities. A case study illustrates the applicability of the analytics framework.
Anna Nagurney, Min Yu, Amir H. Masoumi, Ladimer S. Nagurney

Chapter 3. Medical Nuclear Supply Chains

Abstract
In this chapter, we present a generalized network model for the optimization of the complex operations of medical nuclear supply chains in the case of the radioisotope molybdenum, with a focus on minimizing the total operational cost, the total waste cost, and the risk associated with this highly time-sensitive and perishable, yet, critical, product used in healthcare diagnostics. Our model allows for the evaluation of transitioning the production and processing of the radioisotope from highly enriched uranium targets to low enriched uranium targets. A case study for North America demonstrates how our framework can be applied in practice.
Anna Nagurney, Min Yu, Amir H. Masoumi, Ladimer S. Nagurney

Supply Chain Network Game Theory Models and Applications

Frontmatter

Chapter 4. Food Supply Chains

Abstract
In this chapter, we construct a food supply chain network model under oligopolistic competition and perishability, with a focus on fresh produce. The model handles food spoilage through arc multipliers, with the inclusion of the discarding costs associated with disposal. We allow for product differentiation due to such relevant issues as product freshness and food safety and include alternative technologies associated with various supply chain activities. A case study, in which we analyze different scenarios prior to, during, and post a foodborne disease outbreak, based on the cantaloupe market, illustrates the modeling and computational framework.
Anna Nagurney, Min Yu, Amir H. Masoumi, Ladimer S. Nagurney

Chapter 5. Pharmaceutical Supply Chains

Abstract
In this chapter, we present a generalized network oligopoly model for supply chains of pharmaceutical products using variational inequality theory. The model captures the Cournot competition among the manufacturers who seek to determine their profit-maximizing product flows, with the consumers differentiating among the products of the firms, whether branded or generic, and the firms taking into consideration the discarding costs. A case study demonstrates that a brand pharmaceutical product may lose its dominant market share as a consequence of patent expiration and because of generic competition.
Anna Nagurney, Min Yu, Amir H. Masoumi, Ladimer S. Nagurney

Chapter 6. Fast Fashion Apparel Supply Chains

Abstract
In this chapter, we develop an oligopoly model for fashion supply chains in the case of differentiated products with the inclusion of environmental concerns and with supply chain network link time consumption functions. Each fashion firm seeks to maximize its profit, with generalized cost components, as well as to minimize its emissions throughout its supply chain with the latter criterion being weighted in an individual manner by each firm. A case study illustrates both the generality of the modeling framework as well as how the computational scheme can be used in practice to explore the effects of changes in the demand functions; in the total generalized cost and the total emission functions, as well as in the weights.
Anna Nagurney, Min Yu, Amir H. Masoumi, Ladimer S. Nagurney

Backmatter

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