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Inside this book, you'll find.. Three root causes of most M&A failures (Chapter 1) Ten lessons we should all learn from the history of mergers and acquisitions (Chapter 2) What every manager should know about the odds of succeeding in mergers and acquisitions today (Chapter 3) Six reasons that acquirers become enamored with acquisition targets, and overpay for them (Chapter 3) Seven "best practices" of today's most successful business acquirers (Chapter 3) Advice from C-level executives in M&A-built companies about what works, what doesn't, and why (Chapter 3) How to avoid the most commonly cited problems that drain financial performance from M&A transactions (Chapter 4) How to assess your company's preparedness to benefit from M&A - whether the M&A is in your company's past or its future (Chapter 6) How to align leadership, business processes, and information systems to capture earnings and market share (Chapters 7 through 9) How to utilize a strengthened platform of leadership, processes and systems to accelerate and heighten the benefits of future mergers and acquisitions (Chapter 10) ..and a special bonus feature for busy executives who need to home in quickly on the most pertinent information: An executive summary of each chapter is contained in the book's introduction, enabling the reader to turn immediately to topics of greatest interest. Enterprise Optimization Is filled with powerful, detailed examples from A&D, Manufacturing, Healthcare, Financial Services, and Telecommunications industries showing exactly how to drive M&A activity directly to bottom-line financial performance Decades of studies show that most mergers and acquisitions fail to deliver on promised financial results. In fact, many of them actually destroy shareholder value If your company has mergers or acquisitions in its history, there is a strong likelihood that a lot of money was left on the table. This book explains why that happens, and how to recapture those earnings. The first half of this book explores the reasons that so many M&A transactions produce poor results. It also includes detailed explanations of how M&A pitfalls can be avoided. It contains original research, insights from interviews with C-level executives in M&A-built corporations, and survey results from senior managers with extensive M&A experience. The second half of this book lays out a winning approach to achieving real leverage from the total asset base of the merged enterprise, strengthening business processes and information systems to achieve sustainable competitive advantage. It also describes how to use this platform of strengthened performance to accelerate the financial gains from future mergers and acquisitions. Rich in detail, this book is packed with powerful illustrations from A&D, Telecommunications, Health Care, Financial Services, and Manufacturing industries. Bill Duncan has spent more than 30 years in management positions at some of the largest and most successful companies in the world including John Deere, McDonnell Douglas, and Boeing. He is an award-winning author with three other business books and numerous articles to his credit. He has taught courses in Strategic Planning all over the U.S. as well as Asia, and courses in Information Systems at major universities. As Director of Production, Director of Materials Management, Director of Information Systems, and Vice President of Operations, he has experience on both sides of the M&A table, in the United States as well as internationally. Now a management consultant, Duncan encounters many clients with millions of dollars in unrealized earnings and uncaptured market share as a result of previous acquisitions and mergers. He has written this book to help business leaders understand how to recover the money that was left "on the table," and produce sustainable competitive advantage.
In a world with highly competitive markets and economic instability due to capitalization, industrial competition has increasingly intensified. In order for many industries to survive and succeed, they need to develop highly effective coordination between supply chain partners, dynamic collaborative and strategic alliance relationships, and efficient logistics and supply chain network designs. Consequently, in the past decade, there has been an explosion of interest among academic researchers and industrial practitioners in innovative supply chain and logistics models, algorithms, and coordination policies. Mathematically distinct from classical supply chain management, this emerging research area has been proven to be useful and applicable to a wide variety of industries. This book brings together recent advances in supply chain and logistics research and computational optimization that apply to a collaborative environment in the enterprise.
"International Institute for Analytics"--Dust jacket.
Today many organizations face challenges when developing a realistic plan or schedule that provides the best possible balance between customer service and revenue goals. Optimization technology has long been used to find the best solutions to complex planning and scheduling problems. A decision-support environment that enables the flexible exploration of all the trade-offs and sensitivities needs to provide the following capabilities: Flexibility to develop and compare realistic planning and scheduling scenarios Quality sensitivity analysis and explanations Collaborative planning and scenario sharing Decision recommendations This IBM® Redbooks® publication introduces you to the IBM ILOG® Optimization Decision Manager (ODM) Enterprise. This decision-support application provides the capabilities you need to take full advantage of optimization technology. Applications built with IBM ILOG ODM Enterprise can help users create, compare, and understand planning or scheduling scenarios. They can also adjust any of the model inputs or goals, and fully understanding the binding constraints, trade-offs, sensitivities, and business options. This book enables business analysts, architects, and administrators to design and use their own operational decision management solution.
To maintain a competitive edge against other businesses, companies must ensure the most effective strategies and procedures are in place. This is particularly critical in smaller business environments with fewer resources. Strategic Optimization of Medium-Sized Enterprises in the Global Market is a critical scholarly resource that highlights the optimization of management functions, such as working capital and marketing, and how to implement sustainable business management practices in the global world market. Featuring coverage on a broad range of topics such as social entrepreneurship, marketing optimization, and globalization, this book is geared towards business managers, medium-sized enterprises, policy makers, business professionals, and upper-level students seeking current research on the performances of medium-sized enterprises across the world and their broader supply chain.
This book provides a comprehensive set of optimization and prediction techniques for an enterprise information system. Readers with a background in operations research, system engineering, statistics, or data analytics can use this book as a reference to derive insight from data and use this knowledge as guidance for production management. The authors identify the key challenges in enterprise information management and present results that have emerged from leading-edge research in this domain. Coverage includes topics ranging from task scheduling and resource allocation, to workflow optimization, process time and status prediction, order admission policies optimization, and enterprise service-level performance analysis and prediction. With its emphasis on the above topics, this book provides an in-depth look at enterprise information management solutions that are needed for greater automation and reconfigurability-based fault tolerance, as well as to obtain data-driven recommendations for effective decision-making.
In the last ten years IT has brought fundamental changes to the way the world works. Not only has it increased the speed of operations and communications, but it has also undermined basic assumptions of traditional business models and increased the number of variables. Today, the survival of major corporations is challenged by a world-wide marketplace, international operations, outsourcing, global communities, a changing workforce, security threats, business continuity, web visibility, and customer expectations. Enterprises must constantly adapt or they will be unable to compete. Fred Cummins, an EDS Fellow, presents IT as a key enabler of the agile enterprise. He demonstrates how the convergence of key technologies—including SOA, BPM and emerging enterprise and data models—can be harnessed to transform the enterprise. Cummins mines his 25 years experience to provide IT leaders, as well as enterprise architects and management consultants, with the critical information, skills, and insights they need to partner with management and redesign the enterprise for continuous change. No other book puts IT at the center of this transformation, nor integrates these technologies for this purpose. - Shows how to integrate and deploy critical technologies to foster agility - Details how to design an enterprise architecture that takes full advantage of SOA, BPM, business rules, enterprise information management, business models, and governance - Outlines IT's critical mission in providing an integration infrastructure and key services, while optimizing technology adoption throughout the enterprise - Illustrates concepts with examples and cases from large and small commercial enterprises - Shows how to create systems that recognize and respond to the need for change - Identifies the unique security issues that arise with SOA and shows how to deploy a framework of technologies and processes that address them
As the age of Big Data emerges, it becomes necessary to take the five dimensions of Big Data- volume, variety, velocity, volatility, and veracity- and focus these dimensions towards one critical emphasis - value. The Encyclopedia of Business Analytics and Optimization confronts the challenges of information retrieval in the age of Big Data by exploring recent advances in the areas of knowledge management, data visualization, interdisciplinary communication, and others. Through its critical approach and practical application, this book will be a must-have reference for any professional, leader, analyst, or manager interested in making the most of the knowledge resources at their disposal.
Unlock the Secrets to Optimal Database Performance and Scalability with "Mastering Database Performance Optimization and Scalability" In the fast-paced world of data-driven applications, the ability to deliver high-performance, scalable databases is essential. "Mastering Database Performance Optimization and Scalability" is your comprehensive guide to mastering the art of crafting databases that excel in both speed and capacity. Whether you're a seasoned database professional or a newcomer to the world of performance tuning, this book equips you with the knowledge and skills needed to unlock the true potential of your databases. About the Book: "Mastering Database Performance Optimization and Scalability" takes you on an enlightening journey through the intricacies of crafting high-performance databases. From foundational concepts to advanced techniques, this book covers it all. Each chapter is meticulously designed to provide both a deep understanding of the concepts and practical applications in real-world scenarios. Key Features: · Foundational Principles: Build a strong foundation by understanding the core principles of database performance, including query optimization, indexing, and data modeling. · Optimizing Query Performance: Master the art of writing efficient queries, leveraging indexes, and employing optimization techniques to dramatically improve query response times. · Scaling Strategies: Dive into strategies for horizontal and vertical scaling, including sharding, partitioning, and load balancing, to ensure your databases can handle growing workloads. · Caching and In-Memory Processing: Learn how to effectively implement caching strategies and leverage in-memory databases to boost performance for real-time applications. · Data Partitioning and Distribution: Explore techniques for partitioning and distributing data across clusters to ensure optimal data distribution and access. · Monitoring and Tuning: Discover best practices for monitoring database performance, identifying bottlenecks, and using profiling tools to fine-tune your databases. · Cloud and Container Optimization: Learn how to optimize database performance in cloud environments and containerized deployments, ensuring seamless scalability. · Real-World Use Cases: Gain insights from real-world examples spanning industries, from e-commerce and social media to finance and beyond. · High Availability and Disaster Recovery: Understand strategies for ensuring high availability, implementing disaster recovery plans, and maintaining data integrity. Who This Book Is For: "Mastering Database Performance Optimization and Scalability" is designed for database administrators, developers, and anyone seeking to optimize and scale databases for optimal performance. Whether you're aiming to enhance your skills or embark on a journey toward becoming a performance tuning expert, this book provides the insights and tools to navigate the complexities of database optimization. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
Extremal Optimization: Fundamentals, Algorithms, and Applications introduces state-of-the-art extremal optimization (EO) and modified EO (MEO) solutions from fundamentals, methodologies, and algorithms to applications based on numerous classic publications and the authors’ recent original research results. It promotes the movement of EO from academic study to practical applications. The book covers four aspects, beginning with a general review of real-world optimization problems and popular solutions with a focus on computational complexity, such as "NP-hard" and the "phase transitions" occurring on the search landscape. Next, it introduces computational extremal dynamics and its applications in EO from principles, mechanisms, and algorithms to the experiments on some benchmark problems such as TSP, spin glass, Max-SAT (maximum satisfiability), and graph partition. It then presents studies on the fundamental features of search dynamics and mechanisms in EO with a focus on self-organized optimization, evolutionary probability distribution, and structure features (e.g., backbones), which are based on the authors’ recent research results. Finally, it discusses applications of EO and MEO in multiobjective optimization, systems modeling, intelligent control, and production scheduling. The authors present the advanced features of EO in solving NP-hard problems through problem formulation, algorithms, and simulation studies on popular benchmarks and industrial applications. They also focus on the development of MEO and its applications. This book can be used as a reference for graduate students, research developers, and practical engineers who work on developing optimization solutions for those complex systems with hardness that cannot be solved with mathematical optimization or other computational intelligence, such as evolutionary computations.