Panos Kouvelis - Böcker

A comprehensive, one-stop reference for cutting-edge research in integrated risk management, modern applications, and best practicesIn the field of business, the ever-growing dependency on global supply chains has created new challenges that traditional risk management must be equipped to handle. Handbook of Integrated Risk Management in Global Supply Chains uses a multi-disciplinary approach to present an effective way to manage complex, diverse, and interconnected global supply chain risks.Contributions from leading academics and researchers provide an action-based framework that captures real issues, implementation challenges, and concepts emerging from industry studies.The handbook is divided into five parts: Foundations and Overview introduces risk management and discusses the impact of supply chain disruptions on corporate performanceIntegrated Risk Management: Operations and Finance Interface explores the joint use of operational and financial hedging of commodity price uncertaintiesSupply Chain Finance discusses financing alternatives and the role of financial services in procurement contracts; inventory management and capital structure; and bank financing of inventoriesOperational Risk Management Strategies outlines supply risks and challenges in decentralized supply chains, such as competition and misalignment of incentives between buyers and suppliersIndustrial Applications presents examples and case studies that showcase the discussed methodologiesEach topic's presentation includes an introduction, key theories, formulas, and applications. Discussions conclude with a summary of the main concepts, a real-world example, and professional insights into common challenges and best practices.Handbook of Integrated Risk Management in Global Supply Chains is an essential reference for academics and practitioners in the areas of supply chain management, global logistics, management science, and industrial engineering who gather, analyze, and draw results from data. The handbook is also a suitable supplement for operations research, risk management, and financial engineering courses at the upper-undergraduate and graduate levels.

This text deals with decision-making in environments of significant data uncertainty, with particular emphasis on operations and production management applications. For such environments, this text suggests the use of the robustness approach to decision making, which assumes inadequate knowledge of the decision-maker about the random state of nature and develops a decision that hedges against the worst contingency that may arize. The book provides a comprehensive mathematical programming framework for robust decision making. It also presents decision support tools and solution methods for generating robust decisions in a variety of interesting application environments such as: linear programming; assignment problems; shortest paths; minimum spanning trees; knapsack problems; resource allocation; scheduling; production planning; location; inventory; layout planning; network design; and international sourcing.