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Multi-objective Management in Freight Logistics by Massimiliano Caramia,Paolo Dell’Olmo Pdf
The second edition of Multi-Objective Management in Freight Logistics builds upon the first, providing a detailed study of freight transportation systems, with a specific focus on multi-objective modelling. It offers decision-makers methods and tools for implementing multi-objective optimisation models in logistics. The second edition also includes brand-new chapters on green supply chain and hybrid fleet management problems. After presenting the general framework and multi-objective optimization, the book analyses green logistic focusing on two main aspects: green corridors and network design; next, it studies logistic issues in a maritime terminal and route planning in the context of hazardous material transportation. Finally, heterogeneous fleets distribution and coordination models are discussed. The book presents problems providing the mathematics, algorithms, implementations, and the related experiments for each problem. It offers a valuable resource for postgraduate students and researchers in transportation, logistics and operations, as well as practitioners working in service systems.
Multi-objective Management in Freight Logistics by Massimiliano Caramia,Paolo Dell'Olmo Pdf
Thecontentofthisbookismotivatedbytherecentchangesinglobalmarketsandthe availability of new transportation services. Indeed, the complexity of current supply chains suggests todecision makers in logisticsto work witha set ofef?cient (Pare- optimal) solutions, mainly to capture different economical aspects that, in general, one optimal solution related to a single objective function is not able to capture - tirely. Motivated by these reasons, we study freight transportation systems with a speci?c focus on multi-objective modelling. The goal is to provide decision m- ers with new methods and tools to implement multi-objective optimization models in logistics. The book combines theoretical aspects with applications, showing the advantages and the drawbacks of adopting scalarization techniques, and when it is worthwhile to reduce the problem to a goal-programming one. Also, we show - plications where more than one decision maker evaluates the effectiveness of the logistic system and thus a multi-level programming is sought to attain meaningful solutions. After presenting the general working framework, we analyze logistic - sues in a maritime terminal. Next, we study multi-objective route planning, relying on the application of hazardous material transportation. Then, we examine freight distribution on a smaller scale, as for the case of goods distribution in metropolitan areas. Finally, we present a human-workforce problem arising in logistic platforms. The general approach followed in the text is that of presenting mathematics, al- rithms and the related experimentations for each problem.
Optimisation in Synchromodal Logistics by Frank Phillipson Pdf
This book introduces the advances in synchromodal logistics and provides a framework to classify various optimisation problems in this field. It explores the application of this framework to solve a broad range of problems, such as problems with and without a central decision-maker, problems with and without full information, deterministic problems, problems coping with uncertainty, optimisation of a full network design problem. It covers theoretical constructs, such as discrete optimisation, robust optimisation, optimisation under uncertainty, multi-objective optimisation and agent based equilibrium models. Moreover, practical elaborated use cases are presented to deepen understanding. The book gives both researchers and practitioners a good overview of the field of synchromodal optimisation problems and offers the reader practical methods for modelling and problem-solving.
Multi-Objective Optimization Problems by Fran Sérgio Lobato,Valder Steffen Jr. Pdf
This book is aimed at undergraduate and graduate students in applied mathematics or computer science, as a tool for solving real-world design problems. The present work covers fundamentals in multi-objective optimization and applications in mathematical and engineering system design using a new optimization strategy, namely the Self-Adaptive Multi-objective Optimization Differential Evolution (SA-MODE) algorithm. This strategy is proposed in order to reduce the number of evaluations of the objective function through dynamic update of canonical Differential Evolution parameters (population size, crossover probability and perturbation rate). The methodology is applied to solve mathematical functions considering test cases from the literature and various engineering systems design, such as cantilevered beam design, biochemical reactor, crystallization process, machine tool spindle design, rotary dryer design, among others.
Multi-objective Swarm Intelligence by Satchidananda Dehuri,Alok Kumar Jagadev,Mrutyunjaya Panda Pdf
The aim of this book is to understand the state-of-the-art theoretical and practical advances of swarm intelligence. It comprises seven contemporary relevant chapters. In chapter 1, a review of Bacteria Foraging Optimization (BFO) techniques for both single and multiple criterions problem is presented. A survey on swarm intelligence for multiple and many objectives optimization is presented in chapter 2 along with a topical study on EEG signal analysis. Without compromising the extensive simulation study, a comparative study of variants of MOPSO is provided in chapter 3. Intractable problems like subset and job scheduling problems are discussed in chapters 4 and 7 by different hybrid swarm intelligence techniques. An attempt to study image enhancement by ant colony optimization is made in chapter 5. Finally, chapter 7 covers the aspect of uncertainty in data by hybrid PSO.
Computational Logistics by Raffaele Cerulli,Andrea Raiconi,Stefan Voß Pdf
This book constitutes the refereed proceedings of the 9th International Conference on Computational Logistics, ICCL 2018, held in Vietri sul Mare, Italy, in October 2018. The 32 full papers presented were carefully reviewed and selected from 71 submissions. They are organized in topical sections as follows: maritime shipping and routing, container handling and container terminals, vehicle routing and multi-modal transportation, network design and scheduling, logistics oriented combinatorial optimization.
Process Intensification in Chemical Engineering by Juan Gabriel Segovia-Hernández,Adrián Bonilla-Petriciolet Pdf
This book will provide researchers and graduate students with an overview of the recent developments and applications of process intensification in chemical engineering. It will also allow the readers to apply the available intensification techniques to their processes and specific problems. The content of this book can be readily adopted as part of special courses on process control, design, optimization and modelling aimed at senior undergraduate and graduate students. This book will be a useful resource for researchers in process system engineering as well as for practitioners interested in applying process intensification approaches to real-life problems in chemical engineering and related areas.
Business and Consumer Analytics: New Ideas by Pablo Moscato,Natalie Jane de Vries Pdf
This two-volume handbook presents a collection of novel methodologies with applications and illustrative examples in the areas of data-driven computational social sciences. Throughout this handbook, the focus is kept specifically on business and consumer-oriented applications with interesting sections ranging from clustering and network analysis, meta-analytics, memetic algorithms, machine learning, recommender systems methodologies, parallel pattern mining and data mining to specific applications in market segmentation, travel, fashion or entertainment analytics. A must-read for anyone in data-analytics, marketing, behavior modelling and computational social science, interested in the latest applications of new computer science methodologies. The chapters are contributed by leading experts in the associated fields.The chapters cover technical aspects at different levels, some of which are introductory and could be used for teaching. Some chapters aim at building a common understanding of the methodologies and recent application areas including the introduction of new theoretical results in the complexity of core problems. Business and marketing professionals may use the book to familiarize themselves with some important foundations of data science. The work is a good starting point to establish an open dialogue of communication between professionals and researchers from different fields. Together, the two volumes present a number of different new directions in Business and Customer Analytics with an emphasis in personalization of services, the development of new mathematical models and new algorithms, heuristics and metaheuristics applied to the challenging problems in the field. Sections of the book have introductory material to more specific and advanced themes in some of the chapters, allowing the volumes to be used as an advanced textbook. Clustering, Proximity Graphs, Pattern Mining, Frequent Itemset Mining, Feature Engineering, Network and Community Detection, Network-based Recommending Systems and Visualization, are some of the topics in the first volume. Techniques on Memetic Algorithms and their applications to Business Analytics and Data Science are surveyed in the second volume; applications in Team Orienteering, Competitive Facility-location, and Visualization of Products and Consumers are also discussed. The second volume also includes an introduction to Meta-Analytics, and to the application areas of Fashion and Travel Analytics. Overall, the two-volume set helps to describe some fundamentals, acts as a bridge between different disciplines, and presents important results in a rapidly moving field combining powerful optimization techniques allied to new mathematical models critical for personalization of services. Academics and professionals working in the area of business anyalytics, data science, operations research and marketing will find this handbook valuable as a reference. Students studying these fields will find this handbook useful and helpful as a secondary textbook.
Artificial Life and Computational Intelligence by Tapabrata Ray,Ruhul Sarker,Xiaodong Li Pdf
This book constitutes the proceedings of the Second Australasian Conference on Artificial Life and Computational Intelligence, ACALCI 2016, held in Canberra, ACT, Australia, in February 2016. The 30 full papers presented in this volume were carefully reviewed and selected from 41 submissions. They are organized in topical sections named: mathematical modeling and theory; learning and optimization; planning and scheduling; feature selection; and applications and games.
Developing a Keyword Extractor and Document Classifier: Emerging Research and Opportunities by Paul, Dimple Valayil Pdf
The main problems that prevent fast and high-quality document processing in electronic document management systems are insufficient and unstructured information, information redundancy, and the presence of large amounts of undesirable user information. The human factor has a significant impact on the efficiency of document search. An average user is not aware of the advanced option of a query language and uses typical queries. Development of a specialized software toolkit intended for information systems and electronic document management systems can be an effective solution of the tasks listed above. Such toolkits should be based on the means and methods of automatic keyword extraction and text classification. The categorization (or classification) of texts into predefined categories has witnessed a booming interest in the last 10 years due to the increased availability of documents in digital form and the ensuing need to organize them. Thus, research on keyword extraction, advancements in the field, and possible future solutions is of great importance in current times. Developing a Keyword Extractor and Document Classifier: Emerging Research and Opportunities presents an information extraction mechanism that can process many kinds of inputs, realize the type of text, and understand the percentage of the keywords that has to be stored. This mechanism then supports information extraction and information categorization mechanisms. This module is used to support a text summarization mechanism, which leads—with the help of the keyword extraction module—to text categorization. It employs lexical and information retrieval techniques to extract phrases from the document text that are likely to characterize it and determines the category of the retrieved text to present a summary to the users. This book is ideal for practitioners, stakeholders, researchers, academicians, and students who are interested in the development of a new keyword extractor and document classifier method.
Modeling of a logistics network for wood flows from by-products and cascade utilization by Mohammad Sadegh Taskhiri Pdf
Waste Wood and wood by-products have the potential to become attractive alternative sources of raw materials. Their efficient use is important due to the rising demand and limited supply of forest wood. Cascade utilization is gaining interest as a strategy to bridge the gap between rising wood demand and fresh wood availability. However, the economic and environmental impacts of a cascading system for wood-based products are not fully known. In this work, an investigation is conducted to determine the consequences of cascade utilization for the economic and environmental performance of logistics networks for wood flows. Two case studies in Lower Saxony consider five wood products, including medium density fiber (MDF), oriented strand board (OSB), particleboard, coated paper, and wood pellets. In the first case study, an approach for decision support is developed that consists of a mixed-integer linear programming (MILP) model. In the first case study, the MILP model is used for minimizing the costs of the logistics network for three scenarios. Then the UMBERTO software is applied to determine the quantity of CO2e of the minimized logistics network. In the second case study, the MILP model is enhanced using two objective functions, as cost and global warming potential (GWP) are considered simultaneously. In this case study, it is observed that environmental parameters such as CO2 emissions can also be implemented in the MILP. The utilization of a multi-objective optimization model brings new perspectives (the trade-off between two contradictory objective functions, for instance) in comparison to the first case study, in which CO2 is calculated as an off-line step after logistics costs are minimized. Altholz und Holz-Nebenprodukte besitzen das Potenzial, attraktive, alternative Rohstoffquellen zu werden. Ihre effiziente Nutzung ist von hoher Relevanz, da die Nachfrage nach Holz steigt und die Versorgung mit Holz aus Wäldern begrenzt ist. Um die Lücke zwischen der wachsenden Holznachfrage und - verfügbarkeit zu überbrücken, ist die Kaskadennutzung eine Strategie, welche zunehmendes Interesse erfährt. Allerdings sind die wirtschaftlichen und ökologischen Auswirkungen eines Kaskadensystems für Holzprodukte nicht vollständig bekannt. In dieser Arbeit wird eine Untersuchung durchgeführt, um die Folgen der Kaskadennutzung auf die Wirtschafts - und Umweltleistung von Logistiknetzwerken für Holzströme zu bestimmen. Im Rahmen von zwei Fallstudien in Niedersachsen werden fünf Holzprodukte, einschließlich mitteldichten Fasern (MDF), OSB-Platten (OSB), Spanplatten, beschichtetem Papier und Holz-Pellets betrachtet. In der ersten Fallstudie wird ein Ansatz zur Entscheidungsunterstützung entwickelt, der aus einem Mixed-Integer Linear Programming (MILP)-Modell besteht. Das MILP-Modell wird zuerst in drei verschiedenen Szenarien zur Minimierung der Logistikkosten angewendet. Mithilfe der UMBERTO-Software wird anschließend die Menge von CO2e bestimmt. In der zweiten Fallstudie wird das Modell für zwei Zielfunktionen weiterentwickelt und eingesetzt, bei denen die Kosten und das Treibhausgaspotenzial gleichzeitig betrachtet werden. Diese Fallstudie zeigt, dass auch Umweltparameter wie CO2-Emissionen mit MILP umgesetzt werden können. Die Verwendung eines Mehrzieloptimierungsmodells ermöglicht die Betrachtung neuer Perspektiven (zum Beispiel den Trade-off zwischen zwei widersprüchlichen Zielfunktionen) im Vergleich zur ersten Fallstudie, in welcher CO2-Emissionen in einem Offline-Schritt nach der Minimierung der Logistikkosten minimiert werden.
New Challenges in Banking and Finance by NESRIN ÖZATAÇ,Korhan K. GÖKMENOGLU Pdf
This volume presents current developments in the fields of banking and finance from an international perspective. Featuring contributions from the 2nd International Conference on Banking and Finance Perspectives (ICBFP), this volume serves as a valuable forum for discussing current issues and trends in the banking and financial sectors, especially in light of the global economic challenges triggered by financial institutions. Using the latest theoretical models, new perspectives are brought to topics such as e-finance and e-banking, Islamic banking, international cross-border regulatory cooperation, bank fraud, the global financial crisis, microfinance, and corporate control transactions. Offering an opportunity to explore the challenges of a rapidly changing industry, this volume will be of interest to academics, policy makers, and scholars in the fields of banking, insurance, and finance.
Properties and Characterization of Modern Materials by Andreas Öchsner,Holm Altenbach Pdf
This book focuses on robust characterization and prediction methods for materials in technical applications as well as the materials’ safety features during operation. In particular, it presents methods for reliably predicting material properties, an aspect that is becoming increasingly important as engineering materials are pushed closer and closer to their limits to boost the performance of machines and structures. To increase their engineering value, components are now designed under the consideration of their multiphysical properties and functions, which requires much more intensive investigation and characterization of these materials. The materials covered in this monograph range from metal-based groups such as lightweight alloys, to advanced high-strength steels and modern titanium alloys. Furthermore, a wide range of polymers and composite materials (e.g. with micro- and nanoparticles or fibres) is covered. The book explores methods for property prediction from classical mechanical characterization-related fields of application, for example, from wear, creep, fatigue and crack growth, to specific surface properties, to dielectric and electrochemical values. As in all fields of modern engineering, the process is often accompanied by numerical simulation and optimization.