Business Operational Research And Reports

Operational Research in Industry brings together the experience and expertise of an international group of consultants, researchers, and academics. The book gives practical examples of cross-industry management and covers many different industrial sectors. The selected applications particularly highlight areas where the global market and competition play a crucial part in the decision-making process. The authors' methodologies utilize the tools at the forefront of operational research, especially in modeling, optimization, and data mining. Each chapter describes models, introduces solution techniques, and reports the benefits of implementation. The whole text represents a valuable and up-to-date reference for technical managers, operational researchers, scientists, teachers, and practitioners.

BASIC Business Analysis and Operations Research discusses how the Beginners All-purpose Symbolic Instruction Code (BASIC) can be utilized in business analysis. The book is comprised of seven chapters that tackle various topics about BASIC and business analysis. Chapters 1 and 2 provide an overview of BASIC and Operations Research. Chapter 3 covers index numbers and provides an introduction to programming in structured BASIC. The book also presents programs for Data Fitting, and then describes how a simple program can be developed to include progressive complexity. The programs for a range of computational tasks are also presented. The book also tackles Markov chains in the context of policies for preventative maintenance. The text will be of great use to undergraduate students of management, computer, technology, and science.

This book gathers selected high-quality papers presented at the 31st European Conference on Operational Research, which was held in Athens, Greece on June 11-14, 2021. It highlights the latest advances in the application of operations research (OR) to technology-driven areas in business, finance, and economics, covering both theoretical and methodological developments, as well as real-world case studies. It also explores the connections between OR and other analytical disciplines, such as soft computing and computer science, which can promote the development of new decision support technologies.

Monograph on scientific management - covers automation, cybernetics, computers, managers, operational research, simulation, etc.

From the Foreword by Marshall Fisher, The Wharton School, University of Pennsylvania: As generation of academics and practitioners follows generation, it is worthwhile to compile long views of the research and practice in the past to shed light on research and practice going forward. This collection of peer-reviewed articles is intended to provide such a long view. This book contains a collection of chapters written by leading scholars/practitioners who have continued their efforts in developing and/or implementing innovative OR/MS tools for solving real world problems. In this book, the contributors share their perspectives about the past, present and future of OR/MS theoretical development, solution tools, modeling approaches, and applications. Specifically, this book collects chapters that offer insights about the following topics: • Survey articles taking a long view over the past two or more decades to arrive at the present state of the art while outlining ideas for future research. Surveys focus on use of a particular OR/MS approach, e.g., mathematical programming (LP, MILP, etc.) and solution methods for particular family of application, e.g., distribution system design, distribution planning system, health care. • Autobiographical or biographical accounts of how particular inventions (e.g., Structured Modeling) were made. These could include personal experiences in early development of OR/MS and an overview of what has happened since. • Development of OR/MS mathematical tools (e.g., stochastic programming, optimization theory). • Development of OR/MS in a particular industry sector such as global supply chain management. • Modeling systems for OR/MS and their development over time as well as speculation on future development (e.g., LINDO, LINGO, and What’sBest!) • New applications of OR/MS models (e.g., happiness) The target audience of this book is young researchers, graduate/advanced undergraduate students from OR/MS and related fields like computer science, engineering, and management as well as practitioners who want to understand how OR/MS modeling came about over the past few decades and what research topics or modeling approaches they could pursue in research or application.