This book is an expository introduction to the methodology of sensitivity analysis of model output. It is primarily intended for investigators, students and researchers that are familiar with mathematical models but are less familiar with the techniques for performing their sensitivity analysis. A variety of sensitivity methods have been developed over the years. This monograph helps the analyst in her/his first exploration of this world. The main goal is to foster the recognition of the crucial role of sensitivity analysis methods as the techniques that allow us to gain insights from quantitative models. Also, exercising rigor in performing sensitivity analysis becomes increasingly relevant both to decision makers and modelers. The book helps the analyst in structuring her/his sensitivity analysis quest properly, so as to obtain the correct answer to the corresponding managerial question. The first part of the book covers Deterministic Methods, including Tornado Diagrams; One-Way Sensitivity Analysis; Differentiation-Based Methods and Local Sensitivity Analysis with Constraints. The second part looks at Probabilistic Methods, including Regression-Based methods, Variance-Based Methods, and Distribution-Based methods. The final section looks at Applications, including capital budgeting, sensitivity analysis in climate change modelling and in the risk assessment of a lunar space mission.

Various industries in modern society can contribute to many different sustainable development initiatives. By implementing better processes for resource usage and its impacts, businesses can play a vital role in creating a cleaner environment. Ethics and Sustainability in Global Supply Chain Management is a comprehensive reference source for the latest scholarly material on organizational procedures and methods that ensure environmental sustainability, while maintaining effective production processes. Highlighting the most innovative topics and perspectives, such as life cycle costing, waste management, and business leadership, this book is ideally designed for professionals, academics, practitioners, graduate students, and researchers interested in developing green supply chain processes.

Analysis and Modeling of Manufacturing Systems is a set of papers on some of the newest research and applications of mathematical and computational techniques to manufacturing systems and supply chains. These papers deal with fundamental questions (how to predict factory performance: how to operate production systems) and explicitly treat the stochastic nature of failures, operation times, demand, and other important events.

Analysis and Modeling of Manufacturing Systems will be of interest to readers with a strong background in operations research, including researchers and mathematically sophisticated practitioners.

This book grows from a conference on the state of the art and recent advances in Efficiency and Productivity. Papers were commissioned from leading researchers in the field, and include eight explorations into the analytical foundations of efficiency and productivity analysis. Chapters on modeling advances include reverse directional distance function, a new method for estimating technological production possibilities, a new distance function called a loss distance function, an analysis of productivity and price recovery indices, the relation of technical efficiency measures to productivity measures, the implications for benchmarking and target setting of imposing weight restrictions on DEA models, weight restrictions in a regulatory setting, and the Principle of Least Action. Chapters on empirical applications include a study of innovative firms that use innovation inputs to produce innovation outputs, a study of the impact of potential "coopetition" or cooperation among competitors on the financial performance of European automobile plants, using SFA to estimate the eco-efficiency of dairy farms in Spain, a DEA bankruptcy prediction model, a combined stochastic cost frontier analysis model/mixture hazard model, the evolution of energy intensity in nine Spanish manufacturing industries, and the productivity of US farmers as they age.

This book highlights state-of-the-art developments in metaheuristics research. It examines all aspects of metaheuristic research including new algorithmic developments, applications, new research challenges, theoretical developments, implementation issues, in-depth experimental studies. The book is divided into two sections. Part I is focused on new optimization and modeling techniques based on metaheuristics. The chapters in this section cover topics from multi-objective problems with fuzzy data with triangular-valued objective functions, to hyper-heuristics optimization methodology, designing genetic algorithms, and also the cuckoo search algorithm. The techniques described help to enhance the usability and increase the potential of metaheuristic algorithms. Part II showcases advanced metaheuristic approaches to solve real-life applications issues. This includes an examination of scheduling, the vehicle routing problem, multimedia sensor network, supplier selection, bin packing, objects tracking, and radio frequency identification. In the fields covered in the chapters are of high-impact applications of metaheuristics. The chapters offer innovative applications of metaheuristics that have a potential of widening research frontiers. Altogether, this book offers a comprehensive look at how researchers are currently using metaheuristics in different domains of design and application.

The Analytic Network Process (ANP), developed by Thomas Saaty in his work on multicriteria decision making, applies network structures with dependence and feedback to complex decision making. This new edition of Decision Making with the Analytic Network Process is a selection of the latest applications of ANP to economic, social and political decisions, and also to technological design. The ANP is a methodological tool that is helpful to organize knowledge and thinking, elicit judgments registered in both in memory and in feelings, quantify the judgments and derive priorities from them, and finally synthesize these diverse priorities into a single mathematically and logically justifiable overall outcome. In the process of deriving this outcome, the ANP also allows for the representation and synthesis of diverse opinions in the midst of discussion and debate. The book focuses on the application of the ANP in three different areas: economics, the social sciences and the linking of measurement with human values. Economists can use the ANP for an alternate approach for dealing with economic problems than the usual mathematical models on which economics bases its quantitative thinking. For psychologists, sociologists and political scientists, the ANP offers the methodology they have sought for some time to quantify and derive measurements for intangibles. Finally the book applies the ANP to provide people in the physical and engineering sciences with a quantitative method to link hard measurement to human values. In such a process, one is able to interpret the true meaning of measurements made on a uniform scale using a unit.

Disjunctive Programming is a technique and a discipline initiated by the author in the early 1970's, which has become a central tool for solving nonconvex optimization problems like pure or mixed integer programs, through convexification (cutting plane) procedures combined with enumeration. It has played a major role in the revolution in the state of the art of Integer Programming that took place roughly during the period 1990-2010. The main benefit that the reader may acquire from reading this book is a deeper understanding of the theoretical underpinnings and of the applications potential of disjunctive programming, which range from more efficient problem formulation to enhanced modeling capability and improved solution methods for integer and combinatorial optimization. Egon Balas is University Professor and Lord Professor of Operations Research at Carnegie Mellon University's Tepper School of Business.

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This era of science and engineering has attracted researchers tasked with evaluating performance and optimization of problems in the field of operations research. The book covers mathematical analysis, methods and applications involving processes such as system performance, optimization, inventory theory, reliability theory, and queueing theory. Operations Research: Methods, Techniques, and Advancements explores recent and innovative methods and advancements associated with the mathematical theory of operations research. It offers a detailed overview of mathematical modelling for general industrial systems and emphasizes the latest ideas for the benefit of society and the research community. Intended for a broad range of readers, this book is useful to academicians, industrialists, researchers, students, academia and specialists from various disciplines and those working in the industry.

This book describes a variety of quantitative methods that are vital to planning and control in the operations of the industrial world, from suppliers to manufacturing plants to distribution centers and to the dealers and stores. The topics include: forecasting, measuring forecast error, determining the order quantity, safety stock, when and how much inventory to replenish, all this for individual items and for a distribution network where the items are housed in multiple locations. Further quantitative methods are: manufacturing control, just-in-time, assembly, statistical process control, distribution network, supply chain management, transportation and reverse logistics. The methods are proven, practical and doable for most applications. The material in Elements of Manufacturing, Distribution and Logistics presents topics that people want and should know in the work place. The presentation is easy to read for students and practitioners. There is little need to delve into difficult mathematical relationships, and numerical examples are presented throughout to guide the reader on applications. Practitioners will be able to apply the methods learned to the systems in their locations, and the typical professional will want the book on their bookshelf for reference. Everyone in professional organizations like APICS, DSI and INFORMS; MBA graduates, people in industry, and students in management science, business and industrial engineering will find this book valuable.

This book will explore a new approach to airport planning that better captures the complexities and velocity of change in our contemporary world. As a result, it will lead to higher performing airports for users, business partners, investors and other stakeholders. This is especially pertinent since airports will need to come back better from the Covid-19 pandemic. The book explains the importance of articulating a clear strategy, based on a rigorous analysis of the competitive landscape while avoiding the pitfalls of ambiguity and 'virtue signalling'. Having done so, demand forecasts can be developed that resemble S-curves, not simple straight lines, that reflect strategic opportunities and threats from which a master plan can be developed to allocate land and capital in a way that maximizes return on assets and social licence. The second distinctive feature of this book is the premise that planning an airport as an island, a fortress even, does not work anymore given how interconnected airports are with other components of the transportation system, the economies and communities they serve and the rapid pace of social and technological change. In summary, the book argues that airport planning needs to move beyond its traditional boundaries. The book is replete with real examples from airports of all sizes around the world and includes practical advice and tools for executives and managers. It is recommended reading for individuals working in the airport business or the broader air transport industry, members of airports' board of directors, who may be new to the business, elected officials, policy makers and urban planners in jurisdictions hosting or adjacent to airports, regulators, economic development professionals and, finally, students.

This book provides several inventory models for making the right decision in inventory management under different environments. Basically, the optimal ordering policies are determined for situations with and without shortages in production-inventory systems. The chapters in the book include various features of inventory modeling i.e., inflation, deterioration, supply chain, learning, credit financing, carbon emission policy, stock-dependent demand, among others. The book is a useful resource for academicians, researchers, students, practitioners, and managers who can be benefited with the policies provided in the chapters of the book.

This textbook on Linear and Nonlinear Optimization is intended for graduate and advanced undergraduate students in operations research and related fields. It is both literate and mathematically strong, yet requires no prior course in optimization. As suggested by its title, the book is divided into two parts covering in their individual chapters LP Models and Applications; Linear Equations and Inequalities; The Simplex Algorithm; Simplex Algorithm Continued; Duality and the Dual Simplex Algorithm; Postoptimality Analyses; Computational Considerations; Nonlinear (NLP) Models and Applications; Unconstrained Optimization; Descent Methods; Optimality Conditions; Problems with Linear Constraints; Problems with Nonlinear Constraints; Interior-Point Methods; and an Appendix covering Mathematical Concepts. Each chapter ends with a set of exercises. The book is based on lecture notes the authors have used in numerous optimization courses the authors have taught at Stanford University. It emphasizes modeling and numerical algorithms for optimization with continuous (not integer) variables. The discussion presents the underlying theory without always focusing on formal mathematical proofs (which can be found in cited references). Another feature of this book is its inclusion of cultural and historical matters, most often appearing among the footnotes. "This book is a real gem. The authors do a masterful job of rigorously presenting all of the relevant theory clearly and concisely while managing to avoid unnecessary tedious mathematical details. This is an ideal book for teaching a one or two semester masters-level course in optimization - it broadly covers linear and nonlinear programming effectively balancing modeling, algorithmic theory, computation, implementation, illuminating historical facts, and numerous interesting examples and exercises. Due to the clarity of the exposition, this book also serves as a valuable reference for self-study." Professor Ilan Adler, IEOR Department, UC Berkeley "A carefully crafted introduction to the main elements and applications of mathematical optimization. This volume presents the essential concepts of linear and nonlinear programming in an accessible format filled with anecdotes, examples, and exercises that bring the topic to life. The authors plumb their decades of experience in optimization to provide an enriching layer of historical context. Suitable for advanced undergraduates and masters students in management science, operations research, and related fields."Michael P. Friedlander, IBM Professor of Computer Science, Professor of Mathematics, University of British Columbia

1. The text explores highly complex topics with simple, non mathematical approach for managers rather than economists. 2. The editions have always been well-received in US market and the newest edition has been updated with behavioural economics, case studies on Amazon, Spotify, Uber, TikTok, England National Health Service and other topical businesses. 3. Includes case studies, discussion questions and examples to illustrate the principles. 4. The book will be updated with bigger font and come in color.

Set-valued optimization is a vibrant and expanding branch of mathematics that deals with optimization problems where the objective map and/or the constraints maps are set-valued maps acting between certain spaces. Since set-valued maps subsumes single valued maps, set-valued optimization provides an important extension and unification of the scalar as well as the vector optimization problems. Therefore this relatively new discipline has justifiably attracted a great deal of attention in recent years. This book presents, in a unified framework, basic properties on ordering relations, solution concepts for set-valued optimization problems, a detailed description of convex set-valued maps, most recent developments in separation theorems, scalarization techniques, variational principles, tangent cones of first and higher order, sub-differential of set-valued maps, generalized derivatives of set-valued maps, sensitivity analysis, optimality conditions, duality and applications in economics among other things.

Imparting experiences from the theater world to show how to manage operations in the 21st century, this book provides the key ideas necessary to implement a new operational culture that will lead to excellence in service. This is a must read for executives who wish their operations to be effective and to find satisfaction in shared success.

Digitalisation and Organisation Design aims to address key topics related to organisation design and knowledge management in the digital economy with organisational context, particularly in Asia. Asian nations are moving fast toward the digital economy. Doing business in the digital economy is different from the old way, and the role of organisation design and knowledge management is crucial to support innovative and creative ideas for tapping the huge market opportunities in which people are ready for digitalisation. Chapters in the book cover important topics related to organisation design and knowledge management for organisations, especially business organisations in Asia, to prepare and cultivate necessary means for advancing in the digital economy. This book offers readers a unique value, bringing new perspectives to understanding emerging business opportunities and challenges in Asia. It will present a valuable collection of chapters with empirical studies from leading researchers on the related topic within the main theme (Asian economies, digitalisation, knowledge management, organisational design). The collection of chapters will be conceptually and practically beneficial for academics, students and policy makers interested in the latest developments in organisation design and knowledge management in the digital economy in Asia. This book can be used as a main or supplementary resource for undergraduate and postgraduate students in business and related areas.

This book addresses key topics related to organization design and knowledge management in the digital economy with organizational context, particularly in Asia. Asian nations are moving fast toward the digital economy, within which the role of organization design and knowledge management is crucial to support innovative and creative ideas for meeting huge market opportunities where customers are ready for digitalization. The book conceptualizes organization design into three dimensions, people, information, and technology, and offers readers a unique valued insight, bringing new perspectives to understanding emerging business opportunities and challenges in Asia. It presents a valuable collection of 14 chapters with empirical studies from leading researchers. The book addresses digital transformation in companies and organizations in Asia, analysing how disruptive technologies can help them have more efficient organization processes, create innovative products and services, be more resilient and achieve sustainable goals in the post-pandemic time. It fills a gap in the market offering a valuable collection of chapters that combines strategic topics for companies, organizations and nations today, such as digital economy, disruptive technologies, big data and knowledge management, with a specific focus on the Asian region, providing rich examples and studies focused in countries and regions within Asia. Written for scholars, researchers and other specialists in digitalization, this book offers a unique collection of insights into the current and future situation in Asia.

This third edition, which has been fully updated and now includes improved and extended explanations, is suitable as a core textbook as well as a source book for industry practitioners. It covers traditional approaches for forecasting, lot sizing, determination of safety stocks and reorder points, KANBAN policies and Material Requirements Planning. It also includes recent advances in inventory theory, for example, new techniques for multi-echelon inventory systems and Roundy's 98 percent approximation. The book also considers methods for coordinated replenishments of different items, and various practical issues in connection with industrial implementation. Other topics covered in Inventory Control include: alternative forecasting techniques, material on different stochastic demand processes and how they can be fitted to empirical data, generalized treatment of single-echelon periodic review systems, capacity constrained lot sizing, short sections on lateral transshipments and on remanufacturing, coordination and contracts. As noted, the explanations have been improved throughout the book and the text also includes problems, with solutions in an appendix.

The issue of sustainability has become a vital discussion in many industries within the public and private sectors. In the business realm, incorporating such practices allows organizations to re-design their operations more effectively. Green Supply Chain Management for Sustainable Business Practice examines the challenges and benefits of implementing sustainability into the core functions of contemporary enterprises, focusing on how green approaches improve operations in an ecological way. Highlighting key concepts, emerging innovations, and future directions, this book is a pivotal reference source for professionals, managers, educators, and upper-level students.

This book advances systems thinking by introducing a new philosophy of systemic knowing. It argues that there are inescapable limits to rational understanding. Humankind has always depended on extended ways of knowing to complement the rational-analytic approach. The book establishes that the application of such methods is fundamental to systemic practice. The author advocates embracing two modes of consciousness: intentionality, which Western philosophy has long recognized, and non-intentional awareness, which Eastern philosophy additionally highlights. The simultaneity of these two modes of consciousness, and the variety of knowings they spawn are harnessed for a more holistic, systemic knowing. Four practices from fields related to systems thinking are examined: two contemporary action research methodologies from the US and the UK; the Sumedhian (Indian) approach to inquiry about processes within groups; and a technique of group psychotherapy originating in Eastern Europe. Each of these systematically harnesses knowing using both modes of consciousness. Therefore, the author insists, such approaches must be included in systemic practice, in purposeful and methodical juxtaposition to rational-analytic ways. The book provides examples and guidelines for deployment. "All researchers and practitioners of systems thinking and action research must read this book...Raghav has craftfully blended Eastern and Western wisdom. He uses his immersion into Eastern ways of knowing practically, to elaborate the systems philosophy in rich detail. He has incorporated, from cooperative inquiry as action research, the idea of four ways of knowing: practical, propositional, presentational and experiential, to bolster the foundations of systems thinking" SHANKAR SANKARAN, Professor, University of Technology Sydney, Australia; President International Society of Systems Sciences (ISSS) 2019-2020 "This is a book with the potential to stimulate the emergence of a new paradigm. Raghav shows that systems thinking can transcend rational analysis and incorporate other ways of knowing, such as arts-based methods... also, rather than be overly preoccupied with striving for change, there is value in simply abiding, which comes with a deep appreciation of the ecological relationships we are part of. It's not that rational analysis is wrong - it's that it is only part of a genuinely transformative practice". GERALD MIDGLEY, Co-Director, Centre for Systems Studies, University of Hull; former President, ISSS (2013-14) "Raghav Rajagopalan's writing on generating deep appreciation for the social and ecological interdependencies ties in closely with my own work. The philosophical ideas he develops contain the tracings and essential tones of Gregory Bateson's idea of "Mind" as a process of living complexities reaching well beyond the notion of the body. This book demonstrates outstanding erudition and deep compassion at the same time. It should delight the adventurous reader unafraid of big questions". NORA BATESON, President of the International Bateson Institute

This book provides an in-depth presentation of algorithms for and complexity of open shop scheduling. Open shops allow operations of a job to be executed in any order, contrary to flow and job shops where the order is pre-specified. The author brings the field up to date with more emphasis on new and recent results, and connections with graph edge coloring and mathematical programming. The book explores applications to production and operations management, wireless network scheduling, and timetabling. The book is addressed to researchers, graduate students, and practitioners in Operations Research, Operations Management, computer science and mathematics, who are developing and using mathematical approaches to applications in manufacturing, services and distributed wireless network scheduling.

The intensity of global competition and ever-increasing economic uncertainties has led organizations to search for more efficient and effective ways to manage their business operations. Data envelopment analysis (DEA) has been widely used as a conceptually simple yet powerful tool for evaluating organizational productivity and performance. Fuzzy DEA (FDEA) is a promising extension of the conventional DEA proposed for dealing with imprecise and ambiguous data in performance measurement problems. This book is the first volume in the literature to present the state-of-the-art developments and applications of FDEA. It is designed for students, educators, researchers, consultants and practicing managers in business, industry, and government with a basic understanding of the DEA and fuzzy logic concepts.

The systems sciences provide a platform of concepts and language that enables communities of interest to transcend disciplinary boundaries toward developing new knowledge and perspectives. The current book series is intended to help to cultivate a new perspective for social systems sciences: The translational systems sciences that we propose in this series is a new trend within systems sciences motivated by the need for practical applications that help people. The present volume, Service Systems Science, focuses in particular on the value cooperatively created and shared in human activities to realize a resilient and sustainable society in a systems science perspective. Service systems meet basic needs such as food and water, develop social potential through education and health care and advance our societies through businesses, governments and social enterprises working in a globalized, networked world.Service Systems Science International Workshops and Symposia have been held in Tokyo since 2008, inviting prominent, distinguished researchers and practitioners in both systems science and service science fields from Japan and overseas. Every year the workshop spends two full days in closed sessions intensively and extensively arguing hot topics in service science and practices in systems perspective, followed by the symposium where the outcomes of the arguments at the workshop as well as the latest issues in service science are presented in open meetings.This volume thoroughly updates some of the most important ideas, concepts and methodologies that have been presented and discussed and systematizes them in the unified framework of service systems science. In addition, we have invited original contributions by dynamic researchers to the volume. As a result, this work comprehensively covers state-of-the-art concepts and methodologies in service systems science by leading researchers and practitioners from the United States, Europe and Asia."

In the aftermath of the financial crisis, and regular corporate scandals, there has been a growing concern with the moral and ethical foundations of business. Often these concerns are limited to narrow accounts of governance codes, regulatory procedures or behaviour incentives, which are often characterized by neoliberal bias underpinned by western masculine logics. This book challenges these limited accounts of ethics and responsibility. It looks at the writing of Gayatri C. Spivak who takes globally networked markets, people and ideas and provides tools to rethink subjectivity, ethics and corporate governance. Eschewing strict hierarchical notions of authority and identity, Spivak's work invites us to consider who speaks for whom and for what in organizational contexts. Relationality is also to be found in the radical politics and feminist ethics of Judith Butler who continues to draw on and develop her account of performativity to interpret contemporary organizations, management and work. While popular accounts of corporate ethics often concern themselves with the aims and actions of those at the top of organizations, Lauren Berlant focuses on the struggles of those at the bottom of the new social structures created by contemporary forms of capital. Finally, the book also considers ecological challenges through the work of Val Plumwood, who spent a lifetime considering the threats and responsibilities we face in environmental terms, and developed a feminist ecological philosophy for understanding social and species differences. This book will be relevant to students and researchers across business and management, organizational studies, critical management studies, gender studies and sociology.