Wir, fünf Teilnehmer des P-Seminars »short stories» des Luitpold-Gymnasiums München, haben uns vor circa einem Jahr das Ziel gesetzt, eine Anthologie von englischen und deutschen short stories in Form eines professionell verlegten Buches herauszubringen. Nach mehreren Wochen bzw. Monaten aktiver Schreibphase kristallisierten sich einige Themengebiete heraus, die jeder Literat selbst entwickelte. Von Fantasieerzählungen bis zur Schilderung von Vergangenem, von der Selbstfindung bis zur Schilderung von Zukunfstplänen – alles ist dabei. Nach vielen Diskussionen und Besprechungen der Geschichten erkannten wir, dass eine Gliederung nach Themengebieten schwer werden würde, da sich die Geschichten voneinander sehr unterscheiden. Dies stellt jedoch kein Problem dar, sondern macht dieses Buch höchst aufregend. Je nach Lust und Laune können die verschiedensten Inhalte gelesen werden – auf Englisch oder Deutsch. Während Sie gerade dabei sind, dieses Vorwort zu lesen, können Sie erkennen, dass wir unser Ziel erreicht haben. Wir haben es geschafft, eine Sammlung von Kurzgeschichten selbst zu verlegen. Inhalt, Layout, Gestaltung und Verlag – alles Aufgaben, die fünf Schüler der Oberstufe des Luitpold-Gymnasiums München selbst übernommen und verantwortet haben. Wir wünschen Ihnen nun viel Spaß bei der Lektüre dieses Buches.
Multiple criteria decision-making research has developed rapidly and has become a main area of research for dealing with complex decision problems which require the consideration of multiple objectives or criteria. Over the past twenty years, numerous multiple criterion decision methods have been developed which are able to solve such problems. However, the selection of an appropriate method to solve a particular decision problem is today's problem for a decision support researcher and decision-maker. Intelligent Strategies for Meta Multiple Criteria Decision-Making deals centrally with the problem of the numerous MCDM methods that can be applied to a decision problem. The book refers to this as a `meta decision problem', and it is this problem that the book analyzes. The author provides two strategies to help the decision-makers select and design an appropriate approach to a complex decision problem. Either of these strategies can be designed into a decision support system itself. One strategy is to use machine learning to design an MCDM method. This is accomplished by applying intelligent techniques, namely neural networks as a structure for approximating functions and evolutionary algorithms as universal learning methods. The other strategy is based on solving the meta decision problem interactively by selecting or designing a method suitable to the specific problem, for example, the constructing of a method from building blocks. This strategy leads to a concept of MCDM networks. Examples of this approach for a decision support system explain the possibilities of applying the elaborated techniques and their mutual interplay. The techniques outlined in the book can be used by researchers, students, and industry practitioners to better model and select appropriate methods for solving complex, multi-objective decision problems.
This book deals with complex problems in the fields of logistics and supply chain management and discusses advanced methods, especially from the field of computational intelligence (CI), for solving them. The first two chapters provide general introductions to logistics and supply chain management on the one hand, and to computational intelligence on the other hand. The subsequent chapters cover specific fields in logistics and supply chain management, work out the most relevant problems found in those fields, and discuss approaches for solving them. Chapter 3 discusses problems in the field of production and inventory management. Chapter 4 considers planning activities on a finer level of granularity which is usually denoted as scheduling. In chapter 5 problems in transportation planning such as different types of vehicle routing problems are considered. While chapters 3 to 5 rather discuss planning problems which appear on an operative level, chapter 6 discusses the strategic problem of designing a supply chain or network. The final chapter provides an overview of academic and commercial software and information systems for the discussed applications. There appears to be a gap between general textbooks on logistics and supply chain management and more specialized literature dealing with methods for computational intelligence, operations research, etc., for solving the complex operational problems in these fields. For readers, it is often difficult to proceed from introductory texts on logistics and supply chain management to the sophisticated literature which deals with the usage of advanced methods. This book fills this gap by providing state-of-the-art descriptions of the corresponding problems and suitable methods for solving them.
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