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Global Logistics and Supply Chain Strategies for the 2020s
Logistics and supply chain management is facing disruptive economic, technological and climate change developments that require new strategies. New technologies such as the Internet-of-Things, digital manufacturing or blockchain are emerging quickly and could provide competitive advantage to those companies that leverage the technologies smartly while managers that do not adopt and embrace change could be left behind. Last but perhaps most important for mankind, sustainability aspects such as low-carbon transportation, closed loop supply chains or socially-responsible supply chain setups will become essential to operate successfully in the future. All these aspects will affect logistics and ...
Supply Chain Contract Management
In recent years, the design of contracts in supply chains has received significant attention from researchers and practitioners. Companies try to improve their profits by designing efficient contracts that ensure a high availability of the product at a low cost. In this book the author presents a quantitative approach for designing optimal supply chain contracts. Firstly, service level contracts, which are frequently used between a supplier and a manufacturer, are analyzed. For this contract type, optimal contract parameter combinations are identified that lead to a coordinated supply chain. Secondly, an optimal contract selection strategy is developed for a supply chain where a manufacturer can choose among multiple potential buyers. Potential readership includes scholars of supply chain management and management science, graduate students interested in these areas as well as interested practitioners involved in negotiating contracts.
Optimization of Rental Systems
Logistics providers typically own large fleets of transportation vehicles such as rail cars or trucks. These fleets do not only determine to a large extent the service level the company can offer, but also make up a large part of total costs. Proper management of the fleet is therefore a crucial factor for these companies. In this book the author presents planning approaches that address the optimal management of vehicle fleets. Firstly, methods for determining the mixture of vehicle types and the optimal size of a fleet are developed. Secondly, approaches for supporting new service models such as customer segmentation are derived. Potential readership includes scholars and graduate students who are interested in the field of fleet planning and practitioners from logistics companies looking for new planning approaches.
Global Supply Chains In A Glocal World: The Impact Of Covid-19 And Digitalisation
Growing global trade flows and integration has led to continuous and accelerating changes to our global supply chains over the past decades. Recent macroeconomic events, new technological developments, and most notably Covid-19, are envisioned to push global supply chains in further transforming and adapting. How will companies look into issues of resilience, security, and digitalisation in their supply chains and operations?Global Supply Chains in a Glocal World aims to answer these mission-critical questions via a series of articles contributed by academics and senior management covering different industry sectors such as healthcare, food, e-commerce, textiles, mobility, and FMCG, as well as geographical, risk management, and technological perspectives. Proffering varied views of what has happened during the Covid years and what it means for the future, this book provides academics and practitioners a valuable resource when they navigate their next steps in an increasingly turbulent world.
Large-Scale Crew Scheduling
During the last decades, freight transportation experienced a worldwide boom. At the same time, competition increased considerably, such that efficient cost structures are indispensable for any market player. One of the main challenges a transportation company faces is the efficient employment of its personnel in operations, commonly referred to as crew scheduling. In this book the author presents solution approaches to large-scale crew scheduling. Firstly, the implementation of state-of-the-art operations research methods for a setting at a major European freight railway carrier is presented. Secondly, the author discusses acceleration techniques that make the developed algorithms applicable even in short-term contexts. While the analysis is based on European freight railway settings, the gained insights also apply to other (crew) scheduling contexts. Potential readership includes scholars and graduate students who are interested in the fields of crew scheduling and column generation as well as practitioners from transportation companies looking for new planning approaches.
The Oxford Handbook of the International Law of Global Security
On a global scale, the central tool for responding to complex security challenges is public international law. This handbook provides a comprehensive and systematic overview of the relationship between international law and global security.
Inventory Rationing
The last decades have seen an increasing diversity of customer expectations and growing competitive pressure for a wide variety of industries. Customer segmentation and subsequent inventory rationing provide a way to cope with those customer demands while maintaining a competitive offer. The general idea resembles the yield management practised in the airline or hotel industries: Demand fulfilment for low priority customers might be refused or delayed in order to reserve stock for more important clients. This dissertation thesis from Karin Möllering provides a comprehensive introduction to inventory rationing. It gives an overview of the different approaches studied and identifies state-of-the-art rules. In a second step, the book particularly focuses on an easy-to-implement but highly efficient rationing strategy. For this strategy, a mathematical model is developed that allows for optimization under different objectives. Potential readership includes scholars of inventory control and management science, students interested in these areas as well as practitioners involved in formulating and implementing rationing strategies.
Supporting Operational and Real-time Planning Tasks of Road Freight Transport with Machine Learning. Guiding the Implementation of Machine Learning Algorithms
World-wide trends such as globalization, demographic shifts, increased customer demands, and shorter product lifecycles present a significant challenge to the road freight transport industry: meeting the growing road freight transport demand economically while striving for sustainability. Artificial intelligence, particularly machine learning, is expected to empower transport planners to incorporate more information and react quicker to the fast-changing decision environment. Hence, using machine learning can lead to more efficient and effective transport planning. However, despite the promising prospects of machine learning in road freight transport planning, both academia and industry struggle to identify and implement suitable use cases to gain a competitive edge. In her dissertation, Sandra Lechtenberg explores how machine learning can enhance decision-making in operational and real-time road freight transport planning. She outlines an implementation guideline, which involves identifying decision tasks in planning processes, assessing their suitability for machine learning, and proposing steps to follow when implementing respective algorithms.
