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Managing Supply Chain Disruptions categorizes and review the substantive research contributions relating to managing supply chain disruptions. With a primary emphasis on formulating directions for future research, the authors focus on significant research and practical findings. Managing Supply Chain Disruptions reviews the general area of supply chain disruptions and examine classifications of disruptions which can be used to provide insights into the disruption management process. It reviews the literature in the emerging field of disruption risk management which attempts to identify specific risks associated with supply chain disruptions. This is followed by a review of conceptual/empirical research with a focus on providing general insights into how one or more organizations have managed the risk associated with disruptions. Given that designing robust supply chain networks are a key feature of managing disruption risk, the authors examine the relevant research in this domain. A detailed analysis of prior research targeted at managing specific risks (e.g., product, supply, operations/process, and transportation risks) is presented, and finally, directions for future research are discussed.
Deliver unprecedented customer value and seize your competitive edge with a transformative digital supply network Digital tech has disrupted life and business as we know it, and supply chain management is no exception. But how exactly does digital transformation affect your business? What are the breakthrough technologies and their capabilities you need to know about? How will digital transformation impact skills requirements and work in general? Do you need to completely revamp your understanding of supply chain management? And most importantly: How do you get started? Digital Supply Networks provides clear answers to these and many other questions. Written by an experienced team comprised of Deloitte consultants and leading problem-driven scholars from a premier research university, this expert guide leads you through the process of improving operations building supply networks, increasing revenue, reimagining business models, and providing added value to customers, stakeholders, and society. You’ll learn everything you need to know about: Stages of development, roles, capabilities, and the benefits of DSN Big data analytics including its attributes, security, and authority Machine learning, Artificial Intelligence, Blockchain, robotics, and the Internet of Things Synchronized planning, intelligent supply, and digital product development Vision, attributes, technology, and benefits of smart manufacturing, dynamic logistics, and fulfillment A playbook to guide the digital transformation journey Drawing from real world-experience and problem-driven academic research, the authors provide an in-depth account of the transformation to digitally connected supply networks. They discuss the limitations of traditional supply chains and the underlying capabilities and potential of digitally-enabled supply flows. The chapters burst with expert insights and real-life use cases grounded in tomorrow’s industry needs. Success in today’s hyper-competitive, fast-paced business landscape, characterized by the risk of black swan events, such as the 2020 COVID-19 global pandemic, requires the reimagination and the digitalization of complex demand-supply systems, more collaborative and connected processes, and smarter, more dynamic data-driven decision making―which can only be achieved through a fully integrated Digital Supply Network.
Currently, available technologies can help make a supply chain resilient in volatile times whilst also keeping it responsible. Environmentally Responsible Supply Chains in an Era of Digital Transformation focuses on the linkages between digital technologies and environmental sustainability research and outlines synergies for more resilient, efficient and transparent supply chain management practices.
Strong leadership is necessary to drive the transformational change required to build and apply digital capabilities across organizations. Digital transformation in the supply chain is a leadership problem first and foremost. This book draws out some of the key digital business strategies supply chain leaders must become familiar with as they take on the responsibilities of leading transformations within their firms. The central rationale of the book is to establish a clear business case for the performance shifts and opportunities of the Digital Supply Chain. The benefits of a digital supply chain for firms can be summarized as uniquely reducing the amount of trade-off between costs and customer satisfaction. The challenges, complexity, and management involved in transforming to a digital supply chain have slowed many firms in their implementation. The key to unlocking this value and advantage is a new, robust, and digitally aware supply chain leadership mindset. It will provide readers with a practical Digital Supply Chain Leadership Road Map that will accelerate actions in technology, analytics, talent and business models. The road map to digital transformation will step the reader through these critical dimensions and illustrate how they can support their own organizational transformation by developing greater levels of maturity. This book will be most valued by supply chain leaders in medium to large scale organizations, as well as consultants and academics interested in digital business and supply chain transformation. The book will also be valuable for students studying digital transformation, supply chain, and operations.
Global Logistics Network Modelling and Policy provides guidelines on quality policy, covering investments, management and planning for port and hinterland infrastructure, roads, railways and inland waterway ports. The book first describes the authors' concept and formulation models, followed by a description and analysis of the applied data. As shipping companies fiercely compete in an effort to achieve greater efficiency and impact infrastructure policy and plan for the entire supply chain, they need tactics that drive quality transportation policy and new ways to model and simulate worldwide cargo movements, all while estimating demand and capacity of systems. This book provides quantitative tools for modeling, analysis, and simulation of worldwide, inter-modal cargo movement – helping forecast the impacts of logistics and related policies in each region of the world. It covers useful applications for every region of the world, allowing policymakers to tailor results for their own specific uses. - Delivers sophisticated quantitative tools for modeling simulations, providing powerful analysis of global intermodal cargo movements - Features examples of tools applied to logistical policy situations in every region of the world - Serves as a bridge between theory and practice in the field of freight transportation research - Provides detailed, data-supported case studies and real-world examples for transportation modelers, planners and policymakers
Big Data and Information Theory are a binding force between various areas of knowledge that allow for societal advancement. Rapid development of data analytic and information theory allows companies to store vast amounts of information about production, inventory, service, and consumer activities. More powerful CPUs and cloud computing make it possible to do complex optimization instead of using heuristic algorithms, as well as instant rather than offline decision-making. The era of "big data" challenges includes analysis, capture, curation, search, sharing, storage, transfer, visualization, and privacy violations. Big data calls for better integration of optimization, statistics, and data mining. In response to these challenges this book brings together leading researchers and engineers to exchange and share their experiences and research results about big data and information theory applications in various areas. This book covers a broad range of topics including statistics, data mining, data warehouse implementation, engineering management in large-scale infrastructure systems, data-driven sustainable supply chain network, information technology service offshoring project issues, online rumors governance, preliminary cost estimation, and information system project selection. The chapters in this book were originally published in the journal, International Journal of Management Science and Engineering Management.
This handbook analyzes and develops methods and models to optimize solutions for energy access (for industry and the general world population alike) in terms of reliability and sustainability. With a focus on improving the performance of energy systems, it brings together state-of-the-art research on reliability enhancement, intelligent development, simulation and optimization, as well as sustainable development of energy systems. It helps energy stakeholders and professionals learn the methodologies needed to improve the reliability of energy supply-and-demand systems, achieve more efficient long-term operations, deal with uncertainties in energy systems, and reduce energy emissions. Highlighting novel models and their applications from leading experts in this important area, this book will appeal to researchers, students, and engineers in the various domains of smart energy systems and encourage them to pursue research and development in this exciting and highly relevant field.
This book provides a comprehensive overview of recent developments in network dynamics and control with applications to supply chains, manufacturing and logistics systems. It systemizes these developments in the form of new taxonomies and methodological principles to shape the research domain of supply network dynamics control. Uniquely, the book links the fundamentals of control and system theories and artificial intelligence with supply chain and operations management. It addresses the needs of researchers and practitioners alike, revealing the challenges and opportunities of supply chain and operations management by means of dynamic system analysis.