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Behavioral operations management is a new and growing research field incorporating behavioral aspects of decision making into operations management models, challenging the assumption of fully rational decision makers. Behavioral aspects include risk-aversion, mental accounting, reference points, or bounded rationality. In this book the author presents experimental and empirical studies that address behavioral decision making in the supply chain contracting context. First, different behavioral aspects are incorporated in the decision making process of a buyback and a revenue sharing contract. Second, an empirical decision maker is analyzed facing a service level contract. Potential readership includes scholars and graduate students who are interested in the field of behavioral operations management and practitioners looking for behavioral aspects of decision making in supply chain contracting context.
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.
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.
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.
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.
"In this book the author presents foundations of software-based optimization approaches for crew scheduling problems of European freight railways. The focus is put on operations research methods that are used to solve mathematical crew scheduling models."--back cover.
A military historian and naval warfare expert delivers a revealing history of the Baltic Sea Campaigns and their significance throughout WWII. From the Battle of Westerplatte on the Polish coast in 1939 to the thousands of German refugees lost at sea in 1945, the Baltic witnessed continuous fighting throughout the Second World War. This chronicle of naval warfare in the region merges such major events as the Siege of Leningrad, the Soviet campaign against Sweden, the three wars in Finland, the Soviet liberation of the Baltic states, the German evacuation of two million people from the East, and the Soviet race westwards in 1945. Naval historian Poul Grooss explains the political and military...
In the world of business management, most inventory models assume that open orders arrive after a lead time that cannot be controlled by the inventory manager. However, in many real world situations, inventory managers have the option to expedite open orders. Due to the lack of appropriate models, they often have to rely on sub-optimal heuristics to make expediting decisions. This book incorporates an expediting level policy in a periodic-review base-stock inventory model and shows how the optimal solution can be computed. The approaches can be implemented easily and are capable of solving large problems efficiently. While the book is mathematically rigorous, it presents important managerial insights gained from scenario analyses, using data from the service division of a global equipment manufacturer. (Series: Writings on Business Management Practice / Schriften zur betriebswirtschaftlichen Praxis - Vol. 7) [Subject: Business Management, Economics]