Operationsanalyse

Unmanned Aerial Systems in Agriculture: Eyes Above Fields bridges the gap between knowledge of concept and real-world use and operations of UASs in agri-production. Based on a valuable combination of themes presented at the 13th European Federation for Information Technology in Agriculture, Food and the Environment (EFITA) and supplemented by targeted invited articles of key-scientists, this book presents a full-spectrum view of the use of unmanned aerial systems (UAS) for agricultural applications. It integrates dispersed knowledge in the field, providing a holistic approach regarding UAVs and other UAS and their use in sustainable decisions. The integrated approach of the book provides a fresh look on contemporary agriculture-related issues, following precision farming approaches, by educating on a range of different issues of remote sensing and its use in agriculture. Furthermore, the operational planning aspects for UAS in agriculture focus part of the book provides information that is missing from other resources.

This book focuses on three essential elements of agricultural supply chains: Planting and Growing, Processing and Selling, and Government Interventions. For decades, most agricultural economists applied macro-economic theory in decisions pertaining to the optimization of food production and distribution. However, few researchers used micro-economic theory to examine how individual farmers respond to market information, incentive pricing mechanisms and different market structures in the trade of agricultural goods. Examining challenges in agricultural supply chain operations through the lens of micro-economic theory is imperative because it can enable policymakers and social enterprises to develop and design market information provision policy, incentive contracts and market structures for improving farmer and consumer welfare.In each chapter, contributing authors motivate their research questions by providing the context and articulating the importance of their questions.They present their analysis to examine the respective research questions and explain their results. At the end of each chapter, they provide a short list of future research questions.

Dieses Buch bietet eine prägnante und dennoch umfassende Einführung in die Resilienz von Lieferketten, die Management-, Modellierungs- und Technologieperspektiven abdeckt. Es wurde als Begleitlektüre zum Lehrbuch "Global Supply Chain and Operations Management" konzipiert und befasst sich eingehender mit den Themen Risiken und Widerstandsfähigkeit von Lieferketten, beschreibt die wichtigsten Merkmale der Widerstandsfähigkeit von Lieferketten und erläutert Methoden zur Abschwächung von Unterbrechungen der Lieferkette und zur Wiederherstellung. Zur Veranschaulichung der theoretischen Konzepte werden zahlreiche praktische Beispiele und kurze Fallstudien angeführt. Ohne sich stark auf mathematische Ableitungen zu stützen, erklärt das Buch die wichtigsten Konzepte und Methoden zum Aufbau und zur Verbesserung der Widerstandsfähigkeit von Lieferketten und zur Bewältigung von Risiken bei Unterbrechungen der Lieferkette in einem einfachen, einheitlichen Format, das Studenten und Fachleuten mit Management- und Ingenieurhintergrund das Verständnis erleichtert. Doktoranden und Supply-Chain-Fachleute profitieren gleichermaßen von der strukturierten, didaktisch orientierten und prägnanten Darstellung der Konzepte, Prinzipien und Methoden des Supply-Chain-Resilience-Managements, der Modellierung und der technologischen Umsetzung.

Current Molecular Targets of Heterocyclic Compounds for Cancer Therapy discusses recently developed treatments based on molecular targets which are genetically altered in cancer cells and are essential for tumor development and survival. Considerable research effort has been devoted to the development of targeted drugs that inhibit the action of pathogenic kinases, and clinical studies performed so far have validated the positive effects of kinase inhibitors for cancer treatment. Each chapter discusses a molecular target, such as ALK2, ATR, CK, Src-Abl, EGFR, Fyn-Blk-Lyn, IGFs, and PAK1. The book's chapters are written by experts who actively work on the targets to help readers fully understand how they can be used. This is a valuable resource for cancer researchers, oncologists, graduate students and members of the biomedical field who are interested in the potential of novel cancer therapies based on molecular targets.

This book provides a hands-on introduction to Machine Learning (ML) from a multidisciplinary perspective that does not require a background in data science or computer science. It explains ML using simple language and a straightforward approach guided by real-world examples in areas such as health informatics, information technology, and business analytics. The book will help readers understand the various key algorithms, major software tools, and their applications. Moreover, through examples from the healthcare and business analytics fields, it demonstrates how and when ML can help them make better decisions in their disciplines.The book is chiefly intended for undergraduate and graduate students who are taking an introductory course in machine learning. It will also benefit data analysts and anyone interested in learning ML approaches.

This book reconsiders the role of nobility as influential economic players and provides new insights into the business activities of noblemen in Europe and Asia during the nineteenth century thus offering up opportunities for comparison in an age of economic expansion and globalisation.

This book is a collection of seven interconnected chapters that provides a coherent understanding of Michael Porter's contribution to the field of strategic management. It addresses key changes and challenges in the global business environment.

A smart city is a city that collates data via various technological methods, and uses insights gleaned from this data to manage assets, resources, services and operations more efficiently. Though the concept of 'smart cities' is fairly new, there is a vast amount of interest in the topic, exploring how technological advances can be used to better manage the integration of business and operations within a city, as well as how sustainable choices can be written into the fabric of an urban space. This book explores logistics within smart cities: the greater logistical demands of a smart city, how logistics can be adapted to new challenges, and what sort of new logistical support a smart city will need. The book pays particular attention to how logistical innovation within a smart city can lead to greater sustainability in the city, and on a global level. It will be of interest to academics working in logistics, urban planning, innovation management, digital technology, sustainability management, and operations management.

This book showcases state-of-the-art advances in service science and related fields of research, education, and practice. It presents emerging technologies and applications in contexts ranging from healthcare, energy, finance, and information technology to transportation, sports, logistics, and public services. Regardless of its size and service, every service organization is a service system. Due to the socio-technical nature of service systems, a systems approach must be adopted in order to design, develop and deliver services aimed at meeting end users' utilitarian and socio-psychological needs alike. Understanding services and service systems often requires combining multiple methods to consider how interactions between people, technologies, organizations and information create value under various conditions. The papers in this volume highlight a host of ways to approach these challenges in service science and are based on submissions to the 2021 INFORMS Conference on Service Science.

Presenting an integrated and holistic perspective on innovation management and product design and development, this monograph offers a unique and original understanding of how these two perspectives are interconnected. This book explores these themes in a scientifically rigorous manner, associating academic findings with examples from business. It provides readers with the conceptual and decision-making tools required to understand and manage the process of innovation at different levels, from the analysis of industry-wide phenomena to the formulation of a strategy and from the planning of operations to the management of technical choices. Chapters cover innovation as an economic and social phenomenon, the formulation of innovation strategy, the management of product development processes and projects and the technical design of products and services. Offering an invaluable resource to postgraduate students in economics, business and engineering, this book is also intended for managers and entrepreneurs.

Das Buch zeigt komplexe Probleme in den Bereichen Logistik und Supply Chain Management und erörtert fortschrittliche Methoden, insbesondere aus dem Bereich Computational Intelligence (CI), zu deren Lösung. Die ersten beiden Kapitel bieten allgemeine Einführungen in die Logistik, das Lieferkettenmanagement und in die Computational Intelligence. Die folgenden Kapitel behandeln spezifische Bereiche der Logistik und des Supply Chain Managements und diskutieren Lösungsansätze. In Kapitel 3 werden Probleme der Transportplanung, wie z. B. Arten von Vehicle Routing, betrachtet. In Kapitel 4 werden Probleme aus dem Bereich der Produktions- und Lagerverwaltung erörtert. Kapitel 5 befasst sich mit Planungsaktivitäten beim Scheduling. Während in den Kapiteln 3 bis 5 eher Planungsprobleme auf operativer Ebene behandelt werden, geht es in Kapitel 6 um das strategische Problem der Gestaltung einer Lieferkette oder eines Netzwerks. Das letzte Kapitel gibt einen Überblick über akademische und kommerzielle Software und Informationssysteme für die diskutierten Anwendungen.Es scheint eine Lücke zu geben zwischen allgemeinen Lehrbüchern über Logistik und Supply Chain Management und speziellerer Literatur, die sich mit Methoden der Computational Intelligence, des Operations Research usw. zur Lösung komplexer betrieblicher Probleme in diesen Bereichen befasst. Für den Leser ist es oft schwierig, von einführenden Texten über Logistik und Supply Chain Management zu der anspruchsvollen Literatur über die Anwendung fortgeschrittener Methoden überzugehen. Dieses Buch füllt diese Lücke, indem es Beschreibungen der entsprechenden Probleme und geeignete Methoden zu ihrer Lösung auf dem neuesten Stand der Technik bereitstellt.Dieses Buch ist eine Übersetzung einer deutschen Originalausgabe. Die Übersetzung wurde mit Hilfe von künstlicher Intelligenz (maschinelle Übersetzung durch den Dienst DeepL.com) erstellt. Eine anschließende menschliche Überarbeitung erfolgte vor allem in Bezug auf den Inhalt, so dass sich das Buch stilistisch anders liest als eine herkömmliche Übersetzung.

This new edition covers the central concepts of practical optimization techniques, with an emphasis on methods that are both state-of-the-art and popular. One major insight is the connection between the purely analytical character of an optimization problem and the behavior of algorithms used to solve a problem. This was a major theme of the first edition of this book and the fourth edition expands and further illustrates this relationship. As in the earlier editions, the material in this fourth edition is organized into three separate parts. Part I is a self-contained introduction to linear programming. The presentation in this part is fairly conventional, covering the main elements of the underlying theory of linear programming, many of the most effective numerical algorithms, and many of its important special applications. Part II, which is independent of Part I, covers the theory of unconstrained optimization, including both derivations of the appropriate optimality conditions and an introduction to basic algorithms. This part of the book explores the general properties of algorithms and defines various notions of convergence. Part III extends the concepts developed in the second part to constrained optimization problems. Except for a few isolated sections, this part is also independent of Part I. It is possible to go directly into Parts II and III omitting Part I, and, in fact, the book has been used in this way in many universities.New to this edition is a chapter devoted to Conic Linear Programming, a powerful generalization of Linear Programming. Indeed, many conic structures are possible and useful in a variety of applications. It must be recognized, however, that conic linear programming is an advanced topic, requiring special study. Another important topic is an accelerated steepest descent method that exhibits superior convergence properties, and for this reason, has become quite popular. The proof of the convergence property for both standard and accelerated steepest descent methods are presented in Chapter 8. As in previous editions, end-of-chapter exercises appear for all chapters.From the reviews of the Third Edition:"e;... this very well-written book is a classic textbook in Optimization. It should be present in the bookcase of each student, researcher, and specialist from the host of disciplines from which practical optimization applications are drawn."e; (Jean-Jacques Strodiot, Zentralblatt MATH, Vol. 1207, 2011)

This book presents the latest trends and developments in multimodal optimization and niching techniques. Most existing optimization methods are designed for locating a single global solution. However, in real-world settings, many problems are "e;multimodal"e; by nature, i.e., multiple satisfactory solutions exist. It may be desirable to locate several such solutions before deciding which one to use. Multimodal optimization has been the subject of intense study in the field of population-based meta-heuristic algorithms, e.g., evolutionary algorithms (EAs), for the past few decades. These multimodal optimization techniques are commonly referred to as "e;niching"e; methods, because of the nature-inspired "e;niching"e; effect that is induced to the solution population targeting at multiple optima. Many niching methods have been developed in the EA community. Some classic examples include crowding, fitness sharing, clearing, derating, restricted tournament selection, speciation, etc. Nevertheless, applying these niching methods to real-world multimodal problems often encounters significant challenges.To facilitate the advance of niching methods in facing these challenges, this edited book highlights the latest developments in niching methods. The included chapters touch on algorithmic improvements and developments, representation, and visualization issues, as well as new research directions, such as preference incorporation in decision making and new application areas. This edited book is a first of this kind specifically on the topic of niching techniques.This book will serve as a valuable reference book both for researchers and practitioners. Although chapters are written in a mutually independent way, Chapter 1 will help novice readers get an overview of the field. It describes the development of the field and its current state and provides a comparative analysis of the IEEE CEC and ACM GECCO niching competitions of recent years, followed by a collection of open research questions and possible research directions that may be tackled in the future.