Contents:
1. Research Skills and How to Acquire Them 2. What is Research? 3. Ways of Knowing 4. Problem Fields 5. Problem Identification 6. Research Ethics 7. Research Strategies: The Experiment and Survey 8. Research Strategies: The Case-Study, Ethnography and Action Research 9. Data Construction by Asking Questions 10. Data Construction by Making Observations 11. Data Construction by Using Documents and Records 12. Data Analysis and Interpretation 13. Writing and Publication

Data and its processed state 'information' have become an indispensable resource for virtually all aspects of business, education, etc. Consequently, decisions regarding the handling of this data, transforming it into meaningful information, and ultimately arriving at the best course of action have taken on a new importance. This book highlights a selection of cutting-edge research on decision making presented at the 25th International Conference on Multiple Criteria Decision Making (MCDM 2019), held in Istanbul, Turkey.

As manufacturing companies become global, excellence will be key to the survival of Indian manufacturing businesses. Despite India's good performance on the export front in recent years, India is being outperformed by its competitors. Indian manufacturing companies must compete with global companies and become world class organizations to be competitive. Organizational Culture and its Impact on Continuous Improvement in Manufacturing presents detailed insights into recent studies, providing solutions that can be scaled up at a global level. The lack of competitiveness of Indian companies is attributed to culture in the organization as well as an inability to introduce world class manufacturing tools which would allow them to become globally competitive. All the qualities needed to become world class are not currently available, and it is imperative to understand this gap through the detailed research this book presents to ensure India's manufacturing companies can compete.

The volume examines the state-of-the-art of productivity and efficiency analysis. It brings together a selection of the best papers from the 10th North American Productivity Workshop. By analyzing world-wide perspectives on challenges that local economies and institutions may face when changes in productivity are observed, readers can quickly assess the impact of productivity measurement, productivity growth, dynamics of productivity change, measures of labor productivity, measures of technical efficiency in different sectors, frontier analysis, measures of performance, industry instability and spillover effects. The contributions in this volume focus on the theory and application of economics, econometrics, statistics, management science and operational research related to problems in the areas of productivity and efficiency measurement. Popular techniques and methodologies including stochastic frontier analysis and data envelopment analysis are represented. Chapters also cover broader issues related to measuring, understanding, incentivizing and improving the productivity and performance of firms, public services, and industries.

While return-on-investment measurement programs have gained wide accep tance and popularity over the last few years, two key components to su ccessful program evaluation are often neglected: learning and performa nce evaluation. This book provides a step-by-step approach for develo ping learning and performance measures and a method for analyzing and reporting results. The easy to use format serves as a quick referencey featuring the necessary checklists to evaluate the situation and tools for immediate application in a number of organizational settingsysale s, leadership, and technical. It will prove an invaluable resource for anyone involved in training, HRD, human resource measurement and eval uation, and performance improvement.

This book will cover heuristic optimization techniques and applications in engineering problems. The book will be divided into three sections that will provide coverage of the techniques, which can be employed by engineers, researchers, and manufacturing industries, to improve their productivity with the sole motive of socio-economic development. This will be the first book in the category of heuristic techniques with relevance to engineering problems and achieving optimal solutions. Features Explains the concept of optimization and the relevance of using heuristic techniques for optimal solutions in engineering problems Illustrates the various heuristics techniques Describes evolutionary heuristic techniques like genetic algorithm and particle swarm optimization Contains natural based techniques like ant colony optimization, bee algorithm, firefly optimization, and cuckoo search Offers sample problems and their optimization, using various heuristic techniques

The progress of science and technology has placed Queueing Theory among the most popular disciplines in applied mathematics, operations research, and engineering. Although queueing has been on the scientific market since the beginning of this century, it is still rapidly expanding by capturing new areas in technology. Advances in Queueing provides a comprehensive overview of problems in this enormous area of science and focuses on the most significant methods recently developed. Written by a team of 24 eminent scientists, the book examines stochastic, analytic, and generic methods such as approximations, estimates and bounds, and simulation. The first chapter presents an overview of classical queueing methods from the birth of queues to the seventies. It also contains the most comprehensive bibliography of books on queueing and telecommunications to date. Each of the following chapters surveys recent methods applied to classes of queueing systems and networks followed by a discussion of open problems and future research directions. Advances in Queueing is a practical reference that allows the reader quick access to the latest methods.

This book provides guidelines for obtaining research and development (RD) results of a consistent and known quality. The approaches discussed here have been developed for an industrial research center engaged in RD to support operating divisions of the parent corporation.

Originally published in 1970. Management consultants in the United Kingdom are often accused of cloaking their activities in secrecy. The confidential nature of consulting work often precludes the publication of case examples and it is only occasionally that press reports appear summarizing particular studies. Consulting firms, however, are in the unique position of gaining experience over the whole range of industry, commerce and government, and consequently have a full opportunity for spear-heading new developments and gathering technical know-how of wide value to managers. Science in Management outlines the methods used by a consulting firm specializing in operational research and computer science and describes numerous case examples taken from a wide range of industries and from the public sector. These examples cover tactical problems, problems which overlap functional boundaries within a company and a few major projects of a strategic nature. The aim of the twenty contributors has been to explain in relatively simple terms, some of the more important techniques and to illustrate by practical examples, the wide scope of the management science approach at all problem levels. The book will be helpful to all those seeking to apply science in management. It is written primarily for managers and those studying modern management methods, but parts of the book will be of interest to specialists as well.

With contributions from some of the world's leading practitioners in the field, this volume draws together contemporary experience in the application of technology to distributed learning. It offers an appraisal of the strategies and processes for managing change in open and distance learning and presents a progressive vision for all those involved in this widespread discipline. It can be used as a guide for those implementing Web-based learning.

Series Information:
Routledge Studies in Human Resource Development

This book examines the implications of new trends of globalisation in corporate research and development. It looks in particular at aspects of integration in developing countries and the impact this will have on the host countries.

eBook available with sample pages: 0203160533

Students with diverse backgrounds will face a multitude of decisions in a variety of engineering, scientific, industrial, and financial settings. They will need to know how to identify problems that the methods of operations research (OR) can solve, how to structure the problems into standard mathematical models, and finally how to apply or develop computational tools to solve the problems.

Perfect for any one-semester course in OR, Operations Research: A Practical Introduction answers all of these needs. In addition to providing a practical introduction and guide to using OR techniques, it includes a timely examination of innovative methods and practical issues related to the development and use of computer implementations. It provides a sound introduction to the mathematical models relevant to OR and illustrates the effective use of OR techniques with examples drawn from industrial, computing, engineering, and business applications

Many students will take only one course in the techniques of Operations Research. Operations Research: A Practical Introduction offers them the greatest benefit from that course through a broad survey of the techniques and tools available for quantitative decision making. It will also encourage other students to pursue more advanced studies and provides you a concise, well-structured, vehicle for delivering the best possible overview of the discipline.

Recognized as a "Recommended" title by Choice for their April 2021 issue. Choice is a publishing unit at the Association of College & Research Libraries (ACR&L), a division of the American Library Association. Choice has been the acknowledged leader in the provision of objective, high-quality evaluations of nonfiction academic writing. Metaheuristic optimization is a higher-level procedure or heuristic designed to find, generate, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem, especially with incomplete or imperfect information or limited computation capacity. This is usually applied when two or more objectives are to be optimized simultaneously. This book is presented with two major objectives. Firstly, it features chapters by eminent researchers in the field providing the readers about the current status of the subject. Secondly, algorithm-based optimization or advanced optimization techniques, which are applied to mostly non-engineering problems, are applied to engineering problems. This book will also serve as an aid to both research and industry. Usage of these methodologies would enable the improvement in engineering and manufacturing technology and support an organization in this era of low product life cycle. Features: Covers the application of recent and new algorithms Focuses on the development aspects such as including surrogate modeling, parallelization, game theory, and hybridization Presents the advances of engineering applications for both single-objective and multi-objective optimization problems Offers recent developments from a variety of engineering fields Discusses Optimization using Evolutionary Algorithms and Metaheuristics applications in engineering

As the world's third-ranking economic power, Japan's style of management, such as the lifetime employment system, the seniority system, and an enterprise union, has been well studied. However, little else is known about the Japanese management control systems (MCSs) and management accounting systems, which are significantly different from other economic powers. This book sheds light on Japanese MCSs and the differences with those of the United States, illustrated with examples from Mitsubishi Electric, Kao, and more. This book aids not only researchers in management accounting, but also provides more useful insight for international investors and management accountants that can prove useful in business management.

This book covers the issues related to optimization of engineering and management problems using soft computing techniques with an industrial outlook. It covers a broad area related to real life complex decision making problems using a heuristics approach. It also explores a wide perspective and future directions in industrial engineering research on a global platform/scenario. The book highlights the concept of optimization, presents various soft computing techniques, offers sample problems, and discusses related software programs complete with illustrations. Features Explains the concept of optimization and relevance to soft computing techniques towards optimal solution in engineering and management Presents various soft computing techniques Offers problems and their optimization using various soft computing techniques Discusses related software programs, with illustrations Provides a step-by-step tutorial on how to handle relevant software for obtaining the optimal solution to various engineering problems

This volume introduces the latest popular methods for conducting business research. The goal of each chapter author--a leading authority in a particular subject area--is to provide an understanding of each method with a minimum of mathematical derivations. The chapters are organized within three general interrelated topics--Measurement, Decision Analysis, and Modeling.
The chapters on measurement discuss generalizability theory, latent trait and latent class models, and multi-faceted Rasch modeling. The chapters on decision analysis feature applied location theory models, data envelopment analysis, and heuristic search procedures. The chapters on modeling examine exploratory and confirmatory factor analysis, dynamic factor analysis, partial least squares and structural equation modeling, multilevel data analysis, modeling of longitudinal data by latent growth curve methods and structures, and configural models of longitudinal categorical data.

This book covers a large spectrum of cutting-edge game theory applications in management science in which Professor Georges Zaccour has made significant contributions. The book consists of 21 chapters and highlights the latest treatments of game theory in various areas, including marketing, supply chains, energy and environmental management, and cyber defense. With this book, former Ph.D. students and successful research collaborators of Professor Zaccour wish to honor his many scientific achievements.

This monograph deals with a general class of solution approaches in deterministic global optimization, namely the geometric branch-and-bound methods which are popular algorithms, for instance, in Lipschitzian optimization, d.c. programming, and interval analysis.It alsointroduces a new concept for the rate of convergence and analyzes several bounding operations reported in the literature, from the theoretical as well as from the empirical point of view. Furthermore, extensions of the prototype algorithm for multicriteria global optimization problems as well as mixed combinatorial optimization problems are considered. Numerical examples based on facility location problems support the theory. Applications of geometric branch-and-bound methods, namely the circle detection problem in image processing, the integrated scheduling and location makespan problem, and the median line location problem in the three-dimensional space are also presented. The book is intended for both researchers and students in the areas of mathematics, operations research, engineering, and computer science.

There was much development of both education and industry in post-World War II Britain. There was, on the one hand, an extension of public education to the secondary school stage and the substantial financial help that was available, which meant that increasing numbers were going to university. On the other, there had been immense advances in scientific and technical knowledge and its application to industry. These advances in industry produced an increase in the demand for trained graduates. This book, first published in 1957, examines this correlation, and provides guidance for both graduates and hiring managers. This title will be of interest to students of human resource management and business studies.

Profiles in Operations Research: Pioneers and Innovators recounts the development of the field of Operations Research (OR), the science of decision making. The book traces the development of OR from its military origins to a mature discipline that is recognized worldwide for its contributions to managerial planning and complex global operations. Over the past six decades, OR analyses have impacted our daily lives: when making an airline or hotel reservation, waiting in line at a bank, getting the correctly blended fuel at the gas station, and ensuring that the book you are holding arrived at its destination on time. OR originated in the late 1930s when British scientists from various disciplines joined Royal Air Force officers to determine the most effective way to employ new radar technology for intercepting enemy aircraft. During World War II, similar applied research groups were formed to study, test, and evaluate military operations on both sides of the Atlantic. Their work resulted in great improvements-OR helped the Allies win the war. The scientific field that emerged from these studies was called operational research in the U.K. and operations research in the U.S. Today, OR provides a broad and powerful science to aid decision making. Profiles describes the lives and contributions of 43 OR pioneers and innovators and relates how these individuals, with varying backgrounds and diverse interests, were drawn to the nascent field of OR. The profiles also describe how OR techniques and applications expanded considerably beyond the military context to find new domains in business and industry. In addition to their scientific contributions, these profiles capture the life stories of the individuals-interwoven with personal tales, vivid vignettes, family backgrounds, and views of the mission and future of OR. Collectively, the profiles recount the fascinating story of the growth and development of a field enriched by the convergence of different disciplines. The Editors: Arjang A. Assad is Dean of the School of Management, University at Buffalo, State University of New York. Saul I. Gass is Professor Emeritus, Department of Decision, Operations & Information Technologies, Smith School of Business, University of Maryland, College Park. From the Reviews Profiles In Operations Research: Pioneers and Innovators. Book Review by Nigel Cummings: U.K. OR Society's e-journal, Inside OR., Sept 2011. "I can thoroughly recommend this book. I found it both enlighteningand undeniably gripping, so much so in fact, you may find it difficultto put it down once you have commenced reading it. Arjang A. Assad and Saul I. Gass have created a masterwork whichwill serve to immortalise [stet] the pioneers of O.R. for many years to come." *For a list of all known typos, plus further discussion on the book, please visit http://profilesinoperationsresearch.com.

This monograph presents results originating from a research project investigating autonomous adaptation of vehicle schedules and systematically develops and evaluates innovative ideas for the management of transportation processes in volatile scenarios. Showing the progress made in the development of the methodological toolbox for decision support in dynamic process management is the major motivation behind this book. The result is a new integrated approach to dynamic decision making. Existing process planning approaches for volatile environments and their application boundaries are investigated in Part I. Part II introduces the concept of feedback-controlled adaptive decision models and proposes the required extensions of the online decision making framework and of multi-agent systems. A comprehensive evaluation of the proposed decision model adaptation framework based on computational simulation experiments is reported in Part III and demonstrates the predominance of the new approach. Distinguishing features of this book are: -It provides the first contribution to the operational management of processes in supply networks that explicitly addresses the two challenges of dynamics and distributed decision making simultaneously. -It systematically approaches the limits of model-based process planning but also proposes methods to extend the application boundaries. -Software prototypes are developed and a comprehensive evaluation within numerical simulation experiments is executed. -The observed results are discussed with an explicit focus on specific performance indicators (flexibility, stability and robustness). -The strict interdisciplinary approach merging the requirements and needs of management sciences, operations research and computer sciences is pursued throughout the book.

This book describes an effective decision-making and planning architecture for enhancing the navigation capabilities of automated vehicles in the presence of non-detailed, open-source maps. The system involves dynamically obtaining road corridors from map information and utilizing a camera-based lane detection system to update and enhance the navigable space in order to address the issues of intrinsic uncertainty and low-fidelity. An efficient and human-like local planner then determines, within a probabilistic framework, a safe motion trajectory, ensuring the continuity of the path curvature and limiting longitudinal and lateral accelerations. LiDAR-based perception is then used to identify the driving scenario, and subsequently re-plan the trajectory, leading in some cases to adjustment of the high-level route to reach the given destination. The method has been validated through extensive theoretical and experimental analyses, which are reported here in detail.

Operations may not run the world but make the world run! Learn how a business operates and improves its processes from some of the leading experts in the field. Operations Management, 10th edition is the ultimate guide on the subject, providing you with the best ways and strategies to learn, explore and make sense of how a business works, coming from world-leading experts Nigel Slack, Alistair Brandon-Jones, and Nicola Burgess. Strategic in its perspective and with a clear structure, the latest edition offers a comprehensive and practical way to study key concepts surrounding effective operation processes, from theory to practice. What makes Operations Management, 10th edition work so well? Clear structure, thanks to the "4 Ds" model of Operations Management. Real-life examples that are shown in the "Operations in Practice" boxes and case studies. Worked examples that blend qualitative and quantitative perspectives. Critical commentaries, posing alternative views where appropriate. Summary provided in practical bullet points, answering key questions. A new section in every chapter called "Responsible Operations", that summarises how the topic touches upon social, ethical, and environmental issues. With plenty of new end-of-chapter case studies and a plethora of international examples, this textbook will challenge your critical thinking, both individually and as part of your group discussion in class. Along with the practice cases, summaries, and illustrations, this edition is the definitive guide for your studies in the field of Operations Management. Pearson, the world's learning company.

In recent decades, the rapid expansion of trade and investment among developing countries has resulted in a scenario wherein firms from developing countries account for an increasing share of capital, goods, and wealth in the global economy. Industry leaders from developing countries have observed that firms in developing countries need to identify and develop key supply chain capabilities in order to succeed in emerging markets. It is argued that customers in emerging markets are likely to have different needs and supply chain expectations as compared to customers in developed economies. Reaching into these emerging markets, understanding the customer diversity, and translating it into effective segmentation schemes are critical for the efficient design of supply chain operations. Leadership Strategies for Global Supply Chain Management in Emerging Markets is a pivotal reference source that provides vital research on creating efficient supply chain operations in emerging markets. While highlighting topics such as consumer behavior, global operations, and information transparency, this publication investigates the needs of consumers in emerging markets as well as the methods of designing effective operations. This book is ideally designed for supply chain managers, logistics managers, operations and warehousing professionals, industry practitioners, academicians, students, and researchers.