This book provides an understanding of Business Continuity Management (BCM) implementation for local/international construction operations, with a primary focus on Indonesian construction firms as an illustrative example. It reviews the whole spectrum of work relating to organizational culture (OC) and the institutional framework (IF) as one of the key ways for companies to evaluate and implement BCM in construction operations. Once readers have acquired a sound understanding of BCM, OC and IF linkages in construction firms, the lessons learned can be extended to other companies. This is facilitated through a systematic assessment framework presented in the book using a Knowledge Based Decision Support System (BCM-KBDSS), which allows these companies to evaluate their current status quo with respect to BCM, OC and IF, and then make informed decisions on how and to what extent BCM should be implemented in their operations. As such, the book offers a unique blend of theory and practice, ensuring readers gain a far better understanding of BCM implementation in the construction industry.

This book provides basic tools for learning how to model in mathematical programming, from models without much complexity to complex system models. It presents a unique methodology for the building of an integral mathematical model, as well as new techniques that help build under own criteria. It allows readers to structure models from the elements and variables to the constraints, a basic modelling guide for any system with a new scheme of variables, a classification of constraints and also a set of rules to model specifications stated as logical propositions, helping to better understand models already existing in the literature. It also presents the modelling of all possible objectives that may arise in optimization problems regarding the variables values. The book is structured to guide the reader in an orderly manner, learning of the components that the methodology establishes in an optimization problem. The system includes the elements, which are all the actors that participate in the system, decision activities that occur in the system, calculations based on the decision activities, specifications such as regulations, impositions or actions of defined value and objective criterion, which guides the resolution of the system.

This book offers a case-study approach to stakeholder theory that moves beyond theoretical analysis to the applied. As stakeholder theory has moved into the mainstream of management thinking in business ethics and a number of the management disciplines, there is an increasing need to explore the subtleties of stakeholder engagement via examples from practice. The case studies in this volume explore a number of aspects of the idea of stakeholder engagement, via the method of clinical case studies. Edited by leading scholars in the field of business ethics and stakeholder theory, this text affords a solid grounding in theory, brought to new levels of applied understanding of stakeholder engagement.

This book introduces methods of robust optimization in multivariate adaptive regression splines (MARS) and Conic MARS in order to handle uncertainty and non-linearity. The proposed techniques are implemented and explained in two-model regulatory systems that can be found in the financial sector and in the contexts of banking, environmental protection, system biology and medicine. The book provides necessary background information on multi-model regulatory networks, optimization and regression. It presents the theory of and approaches to robust (conic) multivariate adaptive regression splines - R(C)MARS - and robust (conic) generalized partial linear models - R(C)GPLM - under polyhedral uncertainty. Further, it introduces spline regression models for multi-model regulatory networks and interprets (C)MARS results based on different datasets for the implementation. It explains robust optimization in these models in terms of both the theory and methodology. In this context it studies R(C)MARS results with different uncertainty scenarios for a numerical example. Lastly, the book demonstrates the implementation of the method in a number of applications from the financial, energy, and environmental sectors, and provides an outlook on future research.

The proceedings of the 2017 Symposium on Chaos, Complexity and Leadership illuminate current research results and academic work from the fields of physics, mathematics, education, economics, as well as management and social sciences. The text explores chaotic and complex systems, as well as chaos and complexity theory in view of their applicability to management and leadership. This proceedings explores non-linearity as well as data-modelling and simulation in order to uncover new approaches and perspectives. Effort will not be spared in bringing theory into practice while exploring leadership and management-laden concepts. This book will cover the analysis of different chaotic developments from different fields within the concepts of chaos and complexity theory. Researchers and students in the field will find answers to questions surrounding these intertwined and compelling fields.

This book presents advances and innovations in grouping genetic algorithms, enriched with new and unique heuristic optimization techniques. These algorithms are specially designed for solving industrial grouping problems where system entities are to be partitioned or clustered into efficient groups according to a set of guiding decision criteria. Examples of such problems are: vehicle routing problems, team formation problems, timetabling problems, assembly line balancing, group maintenance planning, modular design, and task assignment. A wide range of industrial grouping problems, drawn from diverse fields such as logistics, supply chain management, project management, manufacturing systems, engineering design and healthcare, are presented. Typical complex industrial grouping problems, with multiple decision criteria and constraints, are clearly described using illustrative diagrams and formulations. The problems are mapped into a common group structure that can conveniently be used as an input scheme to specific variants of grouping genetic algorithms. Unique heuristic grouping techniques are developed to handle grouping problems efficiently and effectively. Illustrative examples and computational results are presented in tables and graphs to demonstrate the efficiency and effectiveness of the algorithms. Researchers, decision analysts, software developers, and graduate students from various disciplines will find this in-depth reader-friendly exposition of advances and applications of grouping genetic algorithms an interesting, informative and valuable resource.

Building on fundamental results in variational analysis, this monograph presents new and recent developments in the field as well as selected applications. Accessible to a broad spectrum of potential readers, the main material is presented in finite-dimensional spaces. Infinite-dimensional developments are discussed at the end of each chapter with comprehensive commentaries which emphasize the essence of major results, track the genesis of ideas, provide historical comments, and illuminate challenging open questions and directions for future research. The first half of the book (Chapters 1-6) gives a systematic exposition of key concepts and facts, containing basic material as well as some recent and new developments. These first chapters are particularly accessible to masters/doctoral students taking courses in modern optimization, variational analysis, applied analysis, variational inequalities, and variational methods. The reader's development of skills will be facilitated as they work through each, or a portion of, the multitude of exercises of varying levels. Additionally, the reader may find hints and references to more difficult exercises and are encouraged to receive further inspiration from the gems in chapter commentaries. Chapters 7-10 focus on recent results and applications of variational analysis to advanced problems in modern optimization theory, including its hierarchical and multiobjective aspects, as well as microeconomics, and related areas. It will be of great use to researchers and professionals in applied and behavioral sciences and engineering.

This book addresses the specialized topic of input-output models for sustainable industrial systems. While these models are well-established tools for economic analysis, their underlying mathematical structure is also applicable to the analysis and optimization of a wide range of systems that are characterized by linear interdependencies among their components. This means that input-output models can be used for diverse networks, such as processes within industrial plants, industrial plants in a supply chain, or departmental units within an organization. The models can also be readily extended to interactions between man-made systems and the environment, e.g. flows of natural resources and/or pollutants. Furthermore, model variants with excess degrees of freedom can be formulated to allow optimization and decision-making to be integrated within the framework. This book examines how input-output models can be applied to sustainable industrial systems. Each major variant is discussed separately in a dedicated chapter, and representative case studies and supporting LINGO code are also included.

This book outlines a possible future theoretical perspective for systemics, its conceptual morphology and landscape while the Good-Old-Fashioned-Systemics (GOFS) era is still under way. The change from GOFS to future systemics can be represented, as shown in the book title, by the conceptual change from Collective Beings to Quasi-systems. With the current advancements, problems and approaches occurring in contemporary science, systemics are moving beyond the traditional frameworks used in the past. From Collective Beings to Coherent Quasi-Systems outlines a conceptual morphology and landscape for a new theoretical perspective for systemics introducing the concept of Quasi-systems. Advances in domains such as theoretical physics, philosophy of science, cell biology, neuroscience, experimental economics, network science and many others offer new concepts and technical tools to support the creation of a fully transdisciplinary General Theory of Change. This circumstance requires a deep reformulation of systemics, without forgetting the achievements of established conventions. The book is divided into two parts. Part I, examines classic systemic issues from new theoretical perspectives and approaches. A new general unified framework is introduced to help deal with topics such as dynamic structural coherence and Quasi-systems. This new theoretical framework is compared and contrasted with the traditional approaches. Part II focuses on the process of translation into social culture of the theoretical principles, models and approaches introduced in Part I. This translation is urgent in post-industrial societies where emergent processes and problems are still dealt with by using the classical or non-systemic knowledge of the industrial phase.

< p=""> The book covers the domain of multi-criteria decision making, a topic which has gained significant attention of researchers and practitioners spanning a variety of disciplines for enhancing their decision making in real life situation. The topics in this volume help readers understand the techniques in the model building and analysis stage. The chapters cover a variety of techniques and their applications for interesting problems. This book will be of interest to readers in diverse disciplines such as engineering, business, management, humanities, psychology and law. ^

This book examines current and emerging challenges in manufacturing related to the ideal of developing production processes with variability and agility on one level of the system, combined with structures ensuring stability and robustness on another level; close to what by other scholars has been discussed in terms of continuous innovation. However, this ideal has proven to be difficult to achieve in practice, and there is a need for enhanced and more sophisticated theoretical models dealing with the complexity surrounding organizational conditions to foster incremental as well as radical change in production systems, and, at the same time to ensure stability over time. As a theoretical frame of reference, a perspective on change where conflicting demands and conflicting activities, e.g., exploration and exploitation, are seen as intertwined and interdependent, is used throughout the book. The ideal from this perspective is to make use of such conflicting forces and to develop the change dynamics by keeping them in the same social system, not to structurally separate them in different departments or different initiatives. The main purpose of the book is to address an increased need for quality improvement through innovation and disruptive change in production. Traditional theories and managerial models of production systems are developed with a focus on stability and improvement. There is a need for enhanced models to reach an ability to develop new future production systems. The goal of the book is to provide nuances and new perspectives giving more realistic models of the production system to be able to increase the change potentiality of the organization and thus the long-term competiveness. Learning and organizational perspectives are in focus as enablers to increase the understanding of a production system as such. Long-term competitiveness through adaptability and the potential for radical improvement is of importance throughout the book. The use of dualities and the concept of ambidextrous organizations as a frame of understanding is the innovative strength for this area.

This book begins with a review of basic results in optimal search for a stationary target. It then develops the theory of optimal search for a moving target, providing algorithms for computing optimal plans and examples of their use. Next it develops methods for computing optimal search plans involving multiple targets and multiple searchers with realistic operational constraints on search movement. These results assume that the target does not react to the search. In the final chapter there is a brief overview of mostly military problems where the target tries to avoid being found as well as rescue or rendezvous problems where the target and the searcher cooperate. Larry Stone wrote his definitive book Theory of Optimal Search in 1975, dealing almost exclusively with the stationary target search problem. Since then the theory has advanced to encompass search for targets that move even as the search proceeds, and computers have developed sufficient capability to employ the improved theory. In this book, Stone joins Royset and Washburn to document and explain this expanded theory of search. The problem of how to search for moving targets arises every day in military, rescue, law enforcement, and border patrol operations.

Elgar Research Agendas outline the future of research in a given area. Leading scholars are given the space to explore their subject in provocative ways, and map out the potential directions of travel. They are relevant but also visionary. Managing and organizing are now central phenomena in contemporary societies. It is essential they are studied from a variety of perspectives, and with equal attention paid to their past, their present, and their future. This book collects opinions of trailblazing scholars concerning the most important research topics, essential for study in the next 15-20 years. The opinions concern both traditional functions, such as accounting and marketing, personnel management and strategy, technology and communication, but also new challenges, such as diversity, equality, waste and cultural encounters. The collection is intended to be inspiration for young scholars and an invitation to a dialogue with practitioners. The book's contributions are written by well-established scholars. Each is a leader in their field and will remain important figures for the next twenty years and beyond. Each chapter starts with a short summary of the present situation but focuses on the future of the discipline. The contributors cover practically all subfields of what is called business administration, or management and organization studies and include contain topics that are new, such as invisible organizations or encounters between art, popular culture and organizing. Outlining the future and the state of the art, this comprehensive and innovative book is an essential resource for students and academics seeking to be at the forefront of future research in management and organization studies. Contributors include: Y. Benschop, T. Beyes, F. Cochoy, F. Cooren, H. Corvellec, J. Costas, A. Diedrich, M.-L. Djelic, G.S. Drori, C. Grey, M. Kornberger, M. Kostera, W.J. Orlikowski, M. Parker, P. Quattrone, C. Rhodes, S.V. Scott, J. Smolinski, J.-S. Vayre

The study of Management Science, or Operations Research, looks at how mathematically-based models are used to generate optimal solutions for business problems. This text provides a brief introduction to these models and gives a concise and balanced view of the most widely used applications. The book shows how managers can use scientific ideas and methods to solve business problems, describing a range of examples in everyday use. Giving students plenty of practice and worked examples of a range of quantitative techniques, the text avoids formal proofs and derivations, concentrating instead on applications in a business context. Where software can assist managers in decision-making, Excel is the package that is most regularly used and therefore examples are given in this format.

This book uses sound theoretical frameworks and econometric techniques to rigorously analyze and explain the conditions of sustainable growth in agriculture. It further investigates how management of natural resources and technological advances can enhance productivity and ensure sustainable growth in agriculture. Optimal control theory, dynamic optimization problems and theory of risk and uncertainty are extensively used to create theoretical models for analyzing agricultural growth. The results demonstrate that crop diversification, rainwater harvesting and the use of organic fertilizers can ensure growth in agriculture from a dynamic perspective. Further, they show how excessive depletion of ground water, intensive farming and overuse of chemicals in connection with the adoption of modern technology in agriculture have placed tremendous strains on natural resources like land and water, and have called into question the sustainability of growth in the farming sector.

When author and operational excellence consultant Menno R. van Dijk joined ING Domestic Bank in the Netherlands, the company had already been using the Lean system a few years. But van Dijk felt something was missing-the fun factor: experiments, improvements, a supportive management style, and teamwork. He wasn't seeing the sense of invigoration and renewal that comes when employees on the shop floor experience the improvement brought on by a Lean implementation.

He went to work and created a new approach-Super7-that took the Lean system in financial services to the next level. It radically reduced customer waiting times with less management and more responsibility on the shop floor. In Super7 Operations, he discusses Super7 in detail-how it was developed, what it does for customers, how it changes culture on the shop floor, and how it affects employees and managers. He explains its benefits, which include

flexible capacity to cope with fluctuating demand-no inventory, no waiting;

small, autonomous teams committed to getting the job done for their customers;

output management and delegated responsibilities; and

continuous improvement of performance without the need for tight controls.

Including case studies, this guide provides valuable tips and tricks for implementing Super7 in an organization that is looking for ways to improve their customers' experience.

The volume highlights the state-of-the-art knowledge (including data analysis) of productivity, inequality and efficiency analysis. It showcases a selection of the best papers from the 9th North American Productivity Workshop. These papers are relevant to academia, but also to public and private sectors in terms of the challenges that firms, financial institutions, governments, and individuals may face when dealing with economic and education related activities that lead to increase or decrease of productivity. The volume also aims to bring together ideas from different parts of the world about the challenges those local economies and institutions may face when changes in productivity are observed. These contributions focus on theoretical and empirical research in areas including productivity, production theory and efficiency measurement in economics, management science, operation research, public administration, and education. The North American Productivity Workshop (NAPW) brings together academic scholars and practitioners in the field of productivity and efficiency analysis from all over the world, and this proceedings volume is a reflection of this mission. The papers in this volume also address general topics as education, health, energy, finance, agriculture, transport, utilities, and economic development, among others. The editors are comprised of the 2016 local organizers, program committee members, and celebrated guest conference speakers.

This book gives a thorough and systematic introduction to the latest research results about fuzzy decision-making method based on prospect theory. It includes eight chapters: Introduction, Intuitionistic fuzzy MADM based on prospect theory, QUALIFLEX based on prospect theory with probabilistic linguistic information, Group PROMETHEE based on prospect theory with hesitant fuzzy linguistic information, Prospect consensus with probabilistic hesitant fuzzy preference information, Improved TODIM based on prospect theory and the improved TODIM with probabilistic hesitant fuzzy information, etc. This book is suitable for the researchers in the fields of fuzzy mathematics, operations research, behavioral science, management science and engineering, etc. It is also useful as a textbook for postgraduate and senior-year undergraduate students of the relevant professional institutions of higher learning.

This book highlights what it takes to be successful in identifying and executing environmental responsibility from an operational perspective. It provides cutting-edge research from globally recognized field experts. It is a useful resource for practitioners to explore why and how firms engage in environmentally responsible operations, but also a valuable resource for academics as an introductory reference that provides direct exposure to key environmental operational problems faced by many firms today. This book can also be used as an introductory reading for students with varying educational backgrounds - from business school students interested in environmental issues to environmental scientists interested in obtaining a business perspective - as it provides a broad scope of key issues at the interface of operations management and environmental and social responsibility. Environmentally Responsible Supply Chains is structured in a modular fashion, with each chapter introducing and analyzing a specific timely topic, allowing readers to identify the chapters that relate to their interests. More specifically, the book distinguishes between two key drivers of environmentally responsibility: Profit and Regulatory compliance. The book is divided into five sections. The first three sections of the book explore profit driven environmental responsibility, and provide examples as to where the motives for environmentally responsible business practices come from, where business opportunities are, and what operational perspectives are key to profitability. The last two sections of the book focus on regulation as a driver of environmental responsibility and identify motives, opportunities, or operational perspectives as to effective regulatory compliance. Ultimately the book introduces the reader to the fundamentals of sustainable operations and highlights the latest research on the topic.

This collection of high-quality articles in the field of combinatorics, geometry, algebraic topology and theoretical computer science is a tribute to Jiri Matousek, who passed away prematurely in March 2015. It is a collaborative effort by his colleagues and friends, who have paid particular attention to clarity of exposition - something Jirka would have approved of. The original research articles, surveys and expository articles, written by leading experts in their respective fields, map Jiri Matousek's numerous areas of mathematical interest.

Decision-making is an important task no matter the industry. Operations research, as a discipline, helps alleviate decision-making problems through the extraction of reliable information related to the task at hand in order to come to a viable solution. Integrating stochastic processes into operations research and management can further aid in the decision-making process for industrial and management problems. Stochastic Processes and Models in Operations Research emphasizes mathematical tools and equations relevant for solving complex problems within business and industrial settings. This research-based publication aims to assist scholars, researchers, operations managers, and graduate-level students by providing comprehensive exposure to the concepts, trends, and technologies relevant to stochastic process modeling to solve operations research problems.

This book presents recently developed intelligent techniques with applications and theory in the area of quality management. The involved applications of intelligence include techniques such as fuzzy sets, neural networks, genetic algorithms, etc. The book consists of classical quality management topics dealing with intelligent techniques for solving the complex quality management problems. The book will serve as an excellent reference for quality managers, researchers, lecturers and postgraduate students in this area. The authors of the chapters are well-known researchers in the area of quality management.