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International Series in Operations Research & Management Science

Machine Learning Technologies on Energy
Economics and Finance

Machine Learning Technologies on Energy Economics and Finance

Energy and Sustainable Analytics, Volume 1

Cases and Studies in Using Operations Research and Management Science Methods

Outsourcing

Energy and Sustainable Analytics, Volume 2

Innovation at the Interface

University-Industry Collaboration

From Theory to Practice

Outsourcing Using Operations Research and Management Science Methods

Challenges in Economics and Management Science

The Unaffordable Price of Static Decision-making Models

Applications to Large-Scale Engineering Problems

Optimization via Relaxation and Decomposition

This book highlights the major features of the ripple effect and introduces methodologies to mitigate its adverse impact on supply chain resilience and to recover from severe disruptions. It brings fresh insights into the fields of supply chain management and engineering, addressing three fundamental questions: “In what circumstance does one failure trigger others?” “Which supply chain structures are especially susceptible to the ripple effect?” “What are the typical ripple effect scenarios and the most efficient ways to respond to them?”In this new edition, recent advancements are incorporated, particularly in areas such as supply chain viability, digital supply chains, artificial intelligence, and epidemiological models. Furthermore, it introduces new methodologies with a particular emphasis on data-driven and AI-based approaches.This comprehensive book provides innovative optimization and simulation models to address real-world challenges. With examples from industrial and service sectors, it offers actionable decision-making recommendations for tackling disruption risks in the supply chain proactively and reactively. As such the book is a comprehensive source for diverse readerships.

Handbook of Ripple Effects in the Supply Chain

This book presents a comprehensive series of methods in nonsmooth optimization, with a particular focus on their application in stochastic programming and dedicated algorithms for decision-making under uncertainty. Each method is accompanied by rigorous mathematical analysis, ensuring a deep understanding of the underlying principles. The theoretical discussions included are essential for comprehending the mechanics of various algorithms and the nature of the solutions they provide-whether they are global, local, stationary, or critical. The book begins by introducing fundamental tools from set-valued analysis, optimization, and probability theory. It then transitions from deterministic to stochastic optimization, starting with a thorough discussion of modeling, understanding uncertainty, and incorporating it into optimization problems. Following this foundation, the book explores numerical algorithms for nonsmooth optimization, covering well-known decomposition techniques and algorithms for convex optimization, mixed-integer convex programming, and nonconvex optimization. Additionally, it introduces numerical algorithms specifically for stochastic programming, focusing on stochastic programming with recourse, chance-constrained optimization, and detailed algorithms for both risk-neutral and risk-averse multistage stochastic programs.

The book guides readers through the entire process, from defining optimization models for practical problems to presenting implementable algorithms that can be applied in practice. It is intended for students, practitioners, and scholars who may be unfamiliar with stochastic programming and nonsmooth optimization. The analyses provided are also valuable for practitioners who may not be interested in convergence proofs but wish to understand the nature of the solutions obtained.

From Conceptual Algorithms to Real-World Applications

Methods of Nonsmooth Optimization in Stochastic Programming

This book demonstrates how decision-making models can be applied to solve specific real-life problems, with a particular emphasis on wind energy. In a step-by-step manner, it guides the reader through decision-making, the formulation of optimization models, and the methods for solving them. After providing an overview of various models for the design of wind farms, it presents an optimization model for deciding which economy (country) to invest in and models for selecting suppliers. A dedicated chapter focuses on different models for monitoring and predictive maintenance for wind turbines (farms) due to the construction of turbine blades and vibration. It shows how combinatorial optimization models can help to make optimal decisions for one-dimensional cutting stock of blanks, their processing, and determining the optimal composition for production. Moreover, it discusses how the energy consumption balance index formed by conventional and renewable sources can be determined and presents a means of identifying the relative share of wind energy consumption among the other renewable sources.&nbsp;Operations research professionals, students, and decision-makers alike will find this book to be a valuable resource for tackling real-world challenges and driving sustainable advances in wind energy solutions.

Decision-Making in Design, Maintenance, Planning, and Investment of Wind Energy

This book examines multiple criteria decision making (MCDM) and presents the Sequential Iterative Modelling for Urban Systems (SIMUS) as a method to be used for strategic decision making. It emphasizes the necessity to take into account aspects related to real world scenarios and incorporating possible real-life aspects for modelling. The book also highlights the use of sensitivity analysis and presents a method for using criteria marginal values instead of weights, which permits the drawing of curves that depicts the variations of the objective function due to increments/decrements of criteria values. In this way, it also gives quantitative values of the objective function allowing stakeholders to perform a comprehensive risk analysis for a solution when it is affected by exogenous variables.&nbsp;Strategic Multi-Criteria Decision Making: A Practical Guide for Complex Scenarios is divided into four parts. Part 1 is devoted to exploring the history and development of the discipline and the way it is currently used. It highlights drawbacks and problems that scholars have identified in different MCDM methods and techniques. Part 2 refers to what can be done using the MCDM process. Part 3 proposes the SIMUS method as a strategic procedure to deal with MCDM problems, and addressing how to approach complicate scenarios. Part 4 is entirely devoted to support practitioners through more than 100 questions a user may ask, and their corresponding answers, as well as a collection of solved six complex real-life scenarios. The decision-making process can be a complex task, especially with multi-criteria problems. With large amounts of information, it can be an extremely difficult to make a rational decision, due to the number of intervening variables, their interrelationships, potential solutions that might exist, diverse objectives envisioned for a project, etc. The SIMUS method has been designed to offer a strategy to help organize, classify, and evaluate this information effectively.

A Practical Guide for Complex Scenarios

Strategic Approach in Multi-Criteria Decision Making

This book applies Multicriteria Decision Making (MCDM) tools and techniques to problems in location analysis. It begins with a generic model for MCDM and subsequently develops specific versions of the technique for particular location problems. Throughout the book, MCDM is understood to encompass all tools and techniques that choose or rank existing or feasible solutions, including discrete multi-attribute decision making (MADM) problems, which typically include an attribute table that specifies the consequences of each decision with regard to the given criteria, as well as multi-objective linear problems (MOLPs), which incorporate all objectives in a single optimization problem.&nbsp; 

The book is organized as follows: the first four chapters introduce readers to the basic tools and techniques used in single-objective optimization, multicriteria decision making, location analysis, and other tools, such as statistical regression and geographical information systems. This is followed by ten chapters on model applications, each of which introduces readers to a specific location problem and applies one technique to solve it. The book is then wrapped up in a closing chapter that looks at the location process from a practitioner’s point of view.&nbsp; This book is intended as a textbook for upper-undergraduate and master-level courses on location analysis. It will also benefit decision-makers who actually need to locate facilities.&nbsp;

Multicriteria Location Analysis

This book brings Data Envelopment Analysis (DEA) based techniques and big data together to explore the novel uses and potentials of DEA under big data. These areas are of widespread interest to researchers and practitioners alike. Considering the vast literature on DEA, one could say that DEA has been and continues to be, a widely used technique both in performance and productivity measurement, having covered a plethora of challenges and debates within the modelling framework.&nbsp;Over the past four decades, DEA models have been applied in almost every major field of study. However, DEA has not been used to its fullest extent. As the inter- and intra-disciplinary research grows, DEA could be used in potentially many other ways; for instance, DEA could be viewed as a data mining tool for data-enabled analytics. One opportunity is brought by the existence of big data. Although big data has existed for a while now, gaining popularity among insight seekers, we are still in incipientstages when it comes to taking full advantage of its potential. Generally, researchers have either been interested in examining its origin or in developing and using big data technology.As the amount of (big) data is growing every day in an exponential manner, so does its complexity; in this sense, various types of data are surfacing, whose study and examination could shed new light on phenomena of interest. A quick review of existing literature shows that big data is a new entrant within the DEA framework. Recently, there has been an increasing interest in bringing the two concepts together, with research studies aiming to integrate DEA and big data concepts within a single framework. But, more work is needed to fully explore the value of their intersection—it is time to view DEA in light of its potential usage in new fields or new usage within the existing fields, under the big data umbrella. It is time to view DEA models beyond their present scope and mine new insights for better data-driven decision-making.

DEA for Big Data

Data-Enabled Analytics

Sustainably Reducing Food Waste and Ensuring Food Security brings together academic professors, scientists, and policymakers from around the globe to address how to reduce food waste and increase access to nutritious food for all. By addressing the impact of waste-to-energy technologies, plant-based diets, alternative protein sources, and emerging technologies such as AI and blockchain, the authors will provide practical guidance for anyone interested in the sustainability of the global food system and the entire food supply chain, from production to consumption. This book is divided into five sections. Section one introduces the concept of sustainable foods systems including the importance and benefits, Section two explores the economic, environmental and social impacts of understanding food waste, Section three provides solutions for food waste reduction, Section four explores sustainable agriculture and alternative food sources, and Section five covers the role of technology, data analytics, policy, and education and outreach in building a sustainable food system.

Sustainably Reducing Food Waste and Ensuring Food Security

With this postgraduate textbook, learn how to critically analyse how sustainable a company's communications and brand is, and how to create a sustainable marketing plan.

Principles and Practices for Responsible and Ethical Marketing

Sustainable Marketing Strategies

Springer Handbooks of Computational Statistics

Handbook of Blockchain Analytics

Tourism, Hospitality & Event Management

This book provides a critical, systemic analysis of the challenge of food waste and its drivers in hospitality operations. It reviews existing approaches to mitigating food waste in catering services and highlights best practices in effective mitigation. It also discusses the determinants of the broader adoption of effective approaches to food-waste management across the sector and within the various geographical markets of out-of-home food consumption.This book is suitable for academics in the hospitality and tourism field as well as for professionals such as hotel and restaurant managers. It can also be used in undergraduate and postgraduate classes in hospitality management.

Opportunities for Sustainable Management

Food Waste in Hospitality Operations

Streamline processes, enhance transparency and achieve tangible social and environmental benefits with this practical guide to improving sustainable impact in your organization.

Creating social and environmental change in your organization

Impact-Driven Sustainability

Wie Menschen und Organisationen erfolgreich wachsen

Die Transformationsformel

Understand the complexities involved in managing destinations, including the current challenges at the forefront of the tourism industry such as climate change, overtourism and crisis management.

A Practical Approach

Responsible Destination Management

What can one city tell us about the global textile waste problem? This Open Access study is the first detailed ethnography of clothing waste infrastructures that starts where the problem starts - the Global North. Based on more than 100 interviews, cultural anthropologist Heike Derwanz follows the journey of fast fashion in Hamburg, Germany: starting with two women from different socio-economic backgrounds sorting through their wardrobes, travelling through local flea markets, eBay, church clothes banks, upcycling brands and recycling sites, only to end up in homes and waste heaps in the Global South. Bringing together human agents such as designers, social workers and vintage sellers with objects from containers, plastic sacks and internet platforms to piles of sorted textiles, this on-the-ground cultural study reveals how the global economic system of fast fashion shapes local infrastructures entangled in everyday lives. Combining material culture, waste studies and economic perspectives to scrutinize the so-called circular economy of today's global textile recycling market, Derwanz investigates what agency modern consumers really have in the lifecycle of their clothes. The ebook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com. Open access was funded by the Bloomsbury Open Collections Library Collective.

The Circulation of Used Clothes in the Global North

Sorting Out Clothes

Nachhaltige Energiespeicher - ein kompakter Einstieg für Studierende und Ingenieure Energiespeicher sind ein essentieller Bestandteil von Energiesystemen, um eine verlässliche Energieversorgung zu gewährleisten. Dies gilt insbesondere für erneuerbare Energien. Dabei sollen die Speichertechnologien selbst der Nachhaltigkeit nicht entgegenstehen. Dieses Buch richtet sich an Studierende der Elektro-, Umwelt- und Energietechnik sowie F&amp;E-Ingenieure, die vor der Herausforderung stehen, umweltverträgliche Energiespeicher zu entwickeln, die zugleich wirtschaftlich rentabel und gesellschaftlich akzeptiert sind. Ausgehend von den physikalisch-chemischen Grundlagen der verschiedenen Speichertechnologien werden Funktionsweise, Anwendung und Komponenten folgender Speichersysteme erläutert: - Mechanische Energiespeicher: Pumpspeicher, Druckluftspeicher - Chemische Energiespeicher: Wasserstofftechnik, Methanisierung, biogene und synthetische Kraftstoffe - Elektrochemische Energiespeicher: Batterien und Akkumulatoren, Brennstoffzellen und Redox-Flow-Systeme - Thermische Energiespeicher: sensible Wärmespeicher, Latentwärmespeicher, Sorptionsspeicher Neben den funktionalen Zusammenhängen werden die ökologischen, ökonomischen und sozialen Aspekte der Speichertechnologien dargelegt. Anhand eines Anforderungskataloges wird gezeigt, wie sich die Nachhaltigkeit eines Speichersystems bewerten lässt. Praktische Beispiele für nachhaltige Energiespeicher, z. B. Speicher für die Dunkelflaute, klimafreundliche Fahrzeuge und Solare Inselsysteme oder alternative Kraftstoffe für den Flugverkehr, veranschaulichen, wie sich eine ganzheitliche Energiewende realisieren lässt.

Technologien – Anwendungen – Bewertung

Nachhaltige Energiespeicher

Das Supply Chain Management hat sich etabliert, und große Konzerne ebenso wie mittelständische Unternehmen haben verstanden, dass in modernen Wertschöpfungsketten beachtliche Verbesserungspotenziale vorhanden sind. Sie haben sich auf den Weg gemacht, dieses Potenzial zu heben. Deshalb intensivieren sie ihre Zusammenarbeit mit Lieferanten, Kunden, Dienstleistern und Wettbewerbern.Hartmut Werner beschreibt in diesem Buch zunächst die Grundlagen des Supply Chain Managements. Anschließend werden Strategien für die Ausgestaltung moderner Wertschöpfungsketten charakterisiert. Auf dieser Basis erfolgt eine Vorstellung von Instrumenten, die zur konkreten Umsetzung der zuvor diskutierten Strategien dienen. Diese Überlegungen münden schließlich in ein Controlling der Supply Chain. Das Buch ist anwendungsorientiert konzipiert und stützt sich auf eine Vielzahl von Beispielen aus der Unternehmenspraxis.Die 8. Auflage wurde aktualisiert und erweitert.&nbsp;Der Inhalt<ul><li>Grundlagen</li><li>Einfluss von Führungskonzepten auf die Gestaltung der Supply Chain</li><li>Strategien des Supply Chain Managements</li><li>Instrumente des Supply Chain Managements</li><li>Controlling der Supply Chain</li></ul>Der AutorProfessor Dr. Hartmut Werner lehrt Logistikmanagement und Controlling (Unternehmensplanung) an der Wiesbaden Business School (Hochschule RheinMain).

Machine Learning Technologies on Energy Economics and Finance

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