Focusing on structural dynamics and resilience, the book presents an accessible introduction to managing supply chain disruption risks. It emphasizes state-of-the-art concepts and methods without heavy mathematical derivations, making it suitable for both students and professionals from management and engineering backgrounds. The content is designed to simplify complex ideas, ensuring a clear understanding of how to create resilient supply chains.
Die Resilienz von Lieferketten wird umfassend behandelt, wobei Management-, Modellierungs- und Technologieperspektiven einfließen. Das Buch dient als Ergänzung zu einem Lehrbuch und fokussiert auf Risiken sowie die Widerstandsfähigkeit von Lieferketten. Es beschreibt zentrale Merkmale und Methoden zur Minderung von Unterbrechungen und deren Wiederherstellung. Praktische Beispiele und Fallstudien veranschaulichen die theoretischen Konzepte. Die klare und strukturierte Darstellung macht es sowohl für Studierende als auch für Fachleute im Bereich Supply-Chain-Management zugänglich.
Focusing on supply chain resilience, this book delves into management, modeling, and technology perspectives, complementing the textbook "Global Supply Chain and Operations Management." It examines supply chain risks and resilience with practical examples and case studies, avoiding complex mathematical derivations for clarity. The content is tailored for both students and professionals from management and engineering backgrounds, offering a structured and accessible approach to understanding key concepts and methodologies for mitigating disruptions and enhancing resilience.
Focusing on advanced concepts in supply chain management, the book delves into dynamics, complexity, and uncertainty through systems analysis, control theory, and operations research. It emphasizes the importance of adaptability, stability, and crisis-resistance, providing a comprehensive understanding of how to navigate and optimize supply chains in challenging environments.
As logistics and supply chains (SC) deal a priori with physical movement of produced materials and products (transportation, warehousing, trans-shipment and order-picking processes, i. e., logistics) and integration and coordination of these processes with each other and with the transformation production processes (i. e., supply chain management – SCM), dynamics exists both in logistics systems and in SCs inevitably. Understanding the importance and the impact of dynamics on performance and resilience of logistics and SC systems is becoming a more and more important topic in literature and in practice [6, 7, 17, 29, 30, 48]. As modern logistics and SC systems are highly networked, integrated, and coordinated, the conventionally isolated problems of operations and logistics management evolve into networked problems, which are characterized by multi-dimensional characteristics (e. g., multi-stage, multi-period, multi-commodity, etc.) [4, 39, 44]. The existence of a great diversity of different dynamic characteristics in those problems, e. g., demand fluctuations, inventory dynamics, dynamic lot-sizes, dynamic schedules, changes in suppliers’ structures, information dynamics subject to partial or full information unavailability, natural and human-driven catastrophes and attacks on logistics and SC systems can significantly impact logistics and SC performance [7, 17, 48]. The distribution of these dynamic characteristics upon different structures (organizational, functional, product-based, informational, financial, etc.) along with the coordinated and distributed decision-making (so called active decision makers, unlike in automatic systems) subject to the above-mentioned multidimensional space lead to the understanding of modern logistics and SC systems as multi-structural active systems with structure dynamics [21, 27]
Ein interdisziplinärer Ansatz zur Modellierung von Produktions- und Logistiknetzwerken
Der Trend moderner Produktion besteht in der Bildung vernetzter Kooperationsstrukturen von Produktions- und Logistikunternehmen. Ziel dieser Arbeit ist es, ein allgemeines Konzept zur ganzheitlichen Modellierung von Produktions- und Logistiknetzwerken zu erarbeiten. In dem vorliegenden Buch wird das Konzept Decentralized Integrated Modelling Approach (DIMA) dargestellt. Mit der DIMA-Methodologie wurde zum ersten Mal ein interdisziplinärer Ansatz zur Modellierung von sich dynamisch bildenden Produktions- und Logistiknetzwerken mit dezentraler operativer Koordination erarbeitet. Die isolierten Betrachtungen von verschiedenen Modellierungsmethoden sowie verschiedenen Phasen des Unternehmensnetzwerkmanagements sind im DIMA-Konzept zu einer ganzheitlichen Betrachtungsweise zusammengeführt worden. Die DIMA-Methodologie ermöglicht es, die Produktions- und Logistiknetzwerke unter Berücksichtigung der Aktivität der Systemelemente (Unternehmen), der Unsicherheitsfaktoren, der Abstimmung von Planungs- und Steuerungsmodellen sowie der Anpassung der Netzwerke und von deren Modellen zu modellieren. Die DIMA-Methodologie stellt hiermit eine einheitliche methodologische Basis zur Modellierung und Optimierung von Produktions- und Logistiknetzwerken dar. Sie ermöglicht es auch, das Prinzip der durchgängigen Modellierung „Konzeptionelles Modell -> Mathematisches Modell -> Software“ zu implementieren.
A Decision-Oriented Introduction to the Creation of Value - Second Edition
578 stránek
21 hodin čtení
The second edition of this textbook comprehensively discusses global supply-chain and operations management, combining value creation networks and interacting processes. It focuses on the operational roles in the networks and presents the quantitative and organizational methods needed to plan and control the material, information and financial flows in the supply chain. Each chapter starts with an introductory case study, and numerous examples from various industries and services help to illustrate the key concepts. The book explains how to design operations and supply networks and how to incorporate suppliers and customers. It also examines matching supply and demand, which is a core aspect of tactical planning, before turning to the allocation of resources for fulfilling customer demands. This second edition features three new chapters: “Supply Chain Risk Management and Resilience”, “Digital Supply Chain, Smart Operations, and Industry 4.0”, and “Pricing and Revenue-Oriented Capacity Allocation”. These new chapters provide the structured knowledge on the principles, models, and technologies for managing the supply-chain risks and improving supply-chain and operations performance with the help of digital technologies such as Industry 4.0, additive manufacturing, Internet-of-Things, advanced optimization methods and predictive analytics. The existing chapters have been updated and new case studies have been included. In addition, the preface provides guidelines for instructors on how to use the material for different courses in supply-chain and operations management and at different educational levels, such as general undergraduate, specialized undergraduate, and graduate courses. The companion website www.global-supply-chain-management.de has also been updated accordingly. In addition, the book is now supported by e-manuals for supply-chain and operations simulation and optimization in AnyLogic and anyLogistix. Providing readers with a working knowledge of global supply-chain and operations management, with a focus on bridging the gap between theory and practice, this textbook can be used in core, special and advanced classes. It is intended for broad range of students and professionals involved in supply-chain and operations management.
