This book introduces the fundamental principles of understanding business requirements to apply enterprise resource planning (ERP) in order to meet business needs. The book also helps readers understand the usage of ERP for monitoring and controlling business processes, while providing practical oriented solutions to the design and implementation of ERP. Using the provided framework, a business can decide to provide more value at lower cost which increases its competitive advantage. This should be an ideal reference for executives, researchers and consultants in project management of ERP. ERP can be considered to be an integrated package of business process. The scope of ERP determines the extent of automation of business process. For example if ERP covers Human Resource (HR) and finance business processes only, then business process related HR and finance are automated. Typically business process that are automated in HR and finance employee entry and exist process, allocation of employee ID, payroll, processing , income tax planning and actual deduction etc. There is seamless flow of employee data and information is available at an effectively faster rate to take appropriate decision. As custom demand increases, there is a need to meet the changing scenario with speed and efficiency. While there is a need to increase productivity, there is also a need to reduce cost of operation. The repetitive business processes can be handled effectively by automating them and freeing human resources for meeting other uncertainties. These automations not only should be done for each department, but also should cut across different departments. Thus there is a need for automating business processes at enterprise level. This enterprise level automation started with MRP, then MRP II, ERP and then finally open source ERP have taken centre stage. Out of the standard products available in the market, an organization can chose an ERP product for implementation, depending on the features available and the total cost of ownership (TCO). This comparison helps an organization to choose the product that best suits the needs for the organization. Enterprise Resource Planning: Fundamentals of Design and Implementation highlights these concepts while discusses different good practices to design and implement ERP.

This book presents a review of the role of overconfidence in small firms and explores how biased judgment and decision-making can affect business performance. Whilst the overconfidence construct has been studied in detail, there are no systematic reviews of its role in SMEs as of yet. Examining the decisions made by entrepreneurs, this study offers clear solutions on how to improve business accuracy, reduce disadvantageous investments and prevent bankruptcy. Providing an empirical analysis of overconfidence in the sport industry, this new book will not only be of interest to academics of entrepreneurship and small enterprises, but also to sport managers.

The idea of using models to inform business practice seems appealing, as it suggests the abstraction and control of a large, complex subject by means of a smaller, easily manipulated mechanism. In reality, however, many models prove inadequate when translated into business methods. Monitoring Business Performance - Models, Methods and Tools elucidates how the assumptions and perceptions that guide performance assessment are often based on models that are poor interpretations and descriptions of reality. In this book, the author scrutinizes the models underlying a number of well-known business methods and tools, and sheds light on the assumptions and subjective perceptions that undermine their effectiveness. In doing so, he offers a unique criticism of accepting business models without questioning their relevance and applicability, and highlights the need to treat models as hypotheses, rather than as certainties.

This book offers the first introduction to the concepts, theories, and applications of pricing and revenue optimization. From the initial success of "yield management" in the commercial airline industry down to more recent successes of markdown management and dynamic pricing, the application of mathematical analysis to optimize pricing has become increasingly important across many different industries. But, since pricing and revenue optimization has involved the use of sophisticated mathematical techniques, the topic has remained largely inaccessible to students and the typical manager. With methods proven in the MBA courses taught by the author at Columbia and Stanford Business Schools, this book presents the basic concepts of pricing and revenue optimization in a form accessible to MBA students, MS students, and advanced undergraduates. In addition, managers will find the practical approach to the issue of pricing and revenue optimization invaluable. With updates to every chapter, this second edition covers topics such as estimation of price-response functions and machine-learning-based price optimization. New discussions of applications of dynamic pricing and revenue management by companies such as Amazon, Uber, and Disney, and in industries such as sports, theater, and electric power, are also included. In addition, the book provides current coverage of important applications such as revenue management, markdown management, customized pricing, and the behavioral economics of pricing.

This handbook includes contributions related to optimization, pricing and valuation problems, risk modeling and decision making problems arising in global financial and commodity markets from the perspective of Operations Research and Management Science. The book is structured in three parts, emphasizing common methodological approaches arising in the areas of interest: - Part I: Optimization techniques - Part II: Pricing and Valuation - Part III: Risk Modeling The book presents to a wide community of Academics and Practitioners a selection of theoretical and applied contributions on topics that have recently attracted increasing interest in commodity and financial markets. Within a structure based on the three parts, it presents recent state-of-the-art and original works related to: - The adoption of multi-criteria and dynamic optimization approaches in financial and insurance markets in presence of market stress and growing systemic risk; - Decision paradigms, based on behavioral finance or factor-based, or more classical stochastic optimization techniques, applied to portfolio selection problems including new asset classes such as alternative investments; - Risk measurement methodologies, including model risk assessment, recently applied to energy spot and future markets and new risk measures recently proposed to evaluate risk-reward trade-offs in global financial and commodity markets; and derivatives portfolio hedging and pricing methods recently put forward in the financial community in the aftermath of the global financial crisis.

Professional practice in the design and execution of employee survey programs has evolved tremendously over the past decade. Advances in technology and enthusiastic new interest in talent analytics have combined to create an exciting space with a good deal of innovation along methodological lines, matched by renewed interest in the strategic role of surveys and sensing for improving organizational effectiveness. Providing solid grounding in the basic issues of content development, interpreting results, and driving action, this book also addresses cutting-edge topics in the area of survey analytics (including applications of computational linguistics and artificial intelligence). Significant emphasis is given to ethical issues which are particularly salient given the zeitgeist for ensuring the protection of data and the privacy of survey respondents. The book is appropriate for use in advanced graduate level courses in survey research and will be a valuable shelf resource for survey practitioners whether trained formally in I-O psychology or other areas of organizational science.

This title provides managers, executives and other professionals with an innovative method for critical decision-making. The book explains the reasons for decision failures using the Law of Unintended Consequences. This account draws on the work of sociologist Robert K. Merton, psychologists Amos Tversky and Daniel Kahneman, and economist Herbert Simon to identify two primary causes : cognitive biases and bounded rationality. It introduces an innovative method for "test driving" decisions that addresses both causes by combining scenario planning and "what-if" simulations. This method enables professionals to learn safely from virtual mistakes rather than real ones. It also provides four sample test drives of realistic critical decisions as well as two instructional videos to illustrate this new method. This book provides leaders and their support teams with important new tools for analyzing and refining complex decisions that are critical to organizational well-being and survival.

This book explains classic routing and transportation problems and solutions, before offering insights based on successful real-world solutions. The chapters in Part I introduce and explain the traveling salesperson problem (TSP), vehicle routing problems (VRPs), and multi-objective problems, with an emphasis on heuristic approaches and software engineering aspects. In turn, Part II demonstrates how to exploit geospatial data, routing algorithms, and visualization. In Part III, the above techniques and insights are combined in real-world success stories from domains such as food delivery in rural areas, postal delivery, workforce routing, and urban logistics. The book offers a valuable supporting text for advanced undergraduate and graduate courses and projects in Computer Science, Engineering, Operations Research, and Mathematics. It is accompanied by a repository of source code, allowing readers to try out the algorithms and techniques discussed.

This book presents recent work that analyzes general issues of green transportation. The contributed chapters consider environmental objectives in transportation, including topics such as battery swap stations for electric vehicles, efficient home healthcare routing, waste collection, and various vehicle routing problems. The content will be valuable for researchers and postgraduate students in computer science, operations research, and urban planning.

Defines the correct cost optimization process Provides detailed explanation of cost estimating techniques Presents cost estimating techniques for various manufacturing processes Offers cost based negotiation training Explains how to build a cost engineering organization

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 edited book reports on recent developments in the theory of evolutionary computation, or more generally the domain of randomized search heuristics. It starts with two chapters on mathematical methods that are often used in the analysis of randomized search heuristics, followed by three chapters on how to measure the complexity of a search heuristic: black-box complexity, a counterpart of classical complexity theory in black-box optimization; parameterized complexity, aimed at a more fine-grained view of the difficulty of problems; and the fixed-budget perspective, which answers the question of how good a solution will be after investing a certain computational budget. The book then describes theoretical results on three important questions in evolutionary computation: how to profit from changing the parameters during the run of an algorithm; how evolutionary algorithms cope with dynamically changing or stochastic environments; and how population diversity influences performance. Finally, the book looks at three algorithm classes that have only recently become the focus of theoretical work: estimation-of-distribution algorithms; artificial immune systems; and genetic programming. Throughout the book the contributing authors try to develop an understanding for how these methods work, and why they are so successful in many applications. The book will be useful for students and researchers in theoretical computer science and evolutionary computing.

Leadership is demanding and challenging. How do leaders cope? How do they remain fit and strong, and thrive? The authors of Leadership Resilience, a business school academic and a police officer, suggest that many challenges faced by leaders are similar to the challenges experienced by police officers. The isolation; the pressure not to show personal emotions; the expectation that they will deal effectively with confused, frustrated and angry people; and that they can deal with delivering bad news; all contribute to the pressures bearing on leaders and police officers everywhere. The authors argue that these challenges are more pronounced in policing and so more readily identifiable than in other leadership situations. They explore challenges experienced by police officers, look at how they cope with them, and draw lessons for those undertaking leadership roles more generally. Leadership Resilience provides accounts from police officers, in their own words, of difficult experiences they encounter. They describe their feelings about what was important and how they coped with it. Each account is followed by an analysis highlighting what is discussed, and not discussed, in the accounts and identifying lessons that can be drawn by leaders in other situations. All is presented so that it is relevant to different cultures demanding different styles of leadership. Analysis of the engaging experiences featured will help leaders struggling with the gap between leadership education and capability and the demands made of them to survive and thrive, while maintaining their physical, mental, emotional, and spiritual health.

Accessible and easy to read guide in the best-selling Basics series The ideal guide for beginners or non-specialists who need to grasp the fundamentals of management User-friendly approach, including features such as key terms for each chapter, chapter summaries and annotated suggestions for further reading Draws on many examples from around the world including North America (such as Enron, Coca Cola and General Motors) Interdisciplinary appeal - will also sell to the Leisure & Tourism market, Arts Management and Media Management markets New edition includes the topics of globalisation, CSR, entrepreneurship, sustainability, risk, resilience and disaster management

This is the first book focusing exclusively on fuzzy dual numbers. In addition to offering a concise guide to their properties, operations and applications, it discusses some of their advantages with regard to classical fuzzy numbers, and describes the most important operations together with a set of interesting applications in e.g. optimization, decision-making and system design. The book provides students, researchers and professionals the necessary theoretical background to apply this particular subset of fuzzy numbers to decision-making problems involving uncertainty. Further, it shows how to solve selected engineering and management problems and includes detailed numerical examples.

This volume is a collection of research surveys on the Distance Geometry Problem (DGP) and its applications. It will be divided into three parts: Theory, Methods and Applications. Each part will contain at least one survey and several research papers. The first part, Theory, will deal with theoretical aspects of the DGP, including a new class of problems and the study of its complexities as well as the relation between DGP and other related topics, such as: distance matrix theory, Euclidean distance matrix completion problem, multispherical structure of distance matrices, distance geometry and geometric algebra, algebraic distance geometry theory, visualization of K-dimensional structures in the plane, graph rigidity, and theory of discretizable DGP: symmetry and complexity. The second part, Methods, will discuss mathematical and computational properties of methods developed to the problems considered in the first chapter including continuous methods (based on Gaussian and hyperbolic smoothing, difference of convex functions, semidefinite programming, branch-and-bound), discrete methods (based on branch-and-prune, geometric build-up, graph rigidity), and also heuristics methods (based on simulated annealing, genetic algorithms, tabu search, variable neighborhood search). Applications will comprise the third part and will consider applications of DGP to NMR structure calculation, rational drug design, molecular dynamics simulations, graph drawing and sensor network localization. This volume will be the first edited book on distance geometry and applications. The editors are in correspondence with the major contributors to the field of distance geometry, including important research centers in molecular biology such as Institut Pasteur in Paris.

This book focuses on the application of Data Envelopment Analysis (DEA) to Major League Baseball (MLB). DEA is a nonparametric linear programming model that is used across academic disciplines. In sports economics, authors have applied the technique primarily to assess team and/or managerial efficiency. The basis for performance analysis is economic production theory, where it is assumed that baseball can be viewed as a production process whereby inputs (player quality measures) are transformed into outputs (wins, attendance). The primary advantage that DEA has over more traditional regression based approaches is the ability to handle multiple inputs and multiple outputs. Further, the approach is nonparametric and hence, does not require a priori specification of the production function. The book develops the theory of DEA in the context of a production environment. A focal point is the assessment of technical and cost efficiency of MLB teams. It is shown that previous frontier applications that measure efficiency provide biased results given that the outcome of a game is zero-sum. If a team loses a game due to inefficiency, another team wins a lost game. A corrected frontier is presented to overcome this problem. Free agent salary arbitration is analyzed using a dual DEA model. Each free agent's contract zone is identified. The upper and lower bounds, representing the player's and team's perspective of value, respectively, are estimated. Player performance is estimated using a modified DEA model to rank order players based on multiple attributes. This model will be used to evaluate current Hall of Fame players. We provide arguments for other players who are deserving of membership. We also use our measure of performance and evaluate age-performance profilers for many ball players. Regression analysis is used to identify the age of peak performance. The method is used to evaluate some of the all-time greats. We also use the method to analyze admitted and implicated steroid users. The results clearly show that performance was enhanced. This book will provide appropriate theoretical models with methodological considerations and interesting empirical analyses and is intended to serve academics and practitioners interested in applying DEA to baseball as well as other sports or production processes. >

Companies of all kinds have fallen into some of the most fundamental of traps when it comes to consumer marketing; in assuming that the motivation that drives their customers is entirely rational. Enrico Trevisan's The Irrational Consumer builds on the ground breaking works on behavioural economics of authors such as Daniel Kahneman and Richard Thaler in order to explain the fundamental drivers of customer decisions and how to incorporate these into your business strategy. Learn how consumers respond to different offer architectures and discounts; why they sometimes struggle to see the wood for the trees in a world of ever-increasing options; what are the rules of thumb they develop for making sense of value. Behavioural economics offers organizations perspectives for engaging with customers, whose views on what to buy are strongly driven by contextual factors, such as the framework and the dynamics of choices. Enrico Trevisan's The Irrational Consumer is your 'must-have' primer to this world.

This handbook begins with the history of Supply Chain (SC) Engineering, it goes on to explain how the SC is connected today, and rounds out with future trends. The overall merit of the book is that it introduces a framework similar to sundial that allows an organization to determine where their company may fall on the SC Technology Scale. The book will describe those who are using more historic technologies, companies that are using current collaboration tools for connecting their SC to other global SCs, and the SCs that are moving more towards cutting edge technologies. This book will be a handbook for practitioners, a teaching resource for academics, and a guide for military contractors. Some figures in the eBook will be in color. Presents a decision model for choosing the best Supply Chain Engineering (SCE) strategies for Service and Manufacturing Operations with respect to Industrial Engineering and Operations Research techniques Offers an economic comparison model for evaluating SCE strategies for manufacturing outsourcing as opposed to keeping operations in-house Demonstrates how to integrate automation techniques such as RFID into planning and distribution operations Provides case studies of SC inventory reductions using automation from AIT and RFID research Covers planning and scheduling, as well as transportation and SC theory and problems

This book brings together key theories behind qualitative research, whilst drawing attention to novel, cutting-edge approaches to data gathering, such as visual anthropology and storytelling. Offering a comprehensive guide to qualitative analysis, this book goes further than examining research methods to open a discussion on the roles of reflexivity, imagination, emotions and ethics in qualitative research, Covering topics such as reflective analysis, sociological paradigms, action research and organizational ethnography, this book is ideal reading for those who wish to address the gap between undergraduate and postgraduate research-based edited books and encompasses a wide array of methods. Those exploring organization studies will find this two-volume collection extremely valuable as it contains robust contributions from highly-skilled authors who are actively researching in this field.

This book presents models and algorithms for complex scheduling problems. Besides resource-constrained project scheduling problems with applications also job-shop problems with flexible machines, transportation or limited buffers are discussed. Discrete optimization methods like linear and integer programming, constraint propagation techniques, shortest path and network flow algorithms, branch-and-bound methods, local search and genetic algorithms, and dynamic programming are presented. They are used in exact or heuristic procedures to solve the introduced complex scheduling problems. Furthermore, methods for calculating lower bounds are described. Most algorithms are formulated in detail and illustrated with examples. In this second edition some errors were corrected, some parts were explained in more detail, and new material has been added. In particular, further generalizations of the RCPSP, additional practical applications and some more algorithms were integrated.

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The Data Quality Assessment Framework "shows you how to measure and monitor data quality, ensuring quality over time. You ll start with general concepts of measurement and work your way through a detailed framework of more than three dozen measurement types related to five objective dimensions of quality: completeness, timeliness, consistency, validity, and integrity. Ongoing measurement, rather than one time activities will help your organization reach a new level of data quality. This plain-language approach to measuring data can be understood by both business and IT and provides practical guidance on how to apply the DQAF within any organization enabling you to prioritize measurements and effectively report on results. Strategies for using data measurement to govern and improve the quality of data and guidelines for applying the framework within a data asset are included. You ll come away able to prioritize which measurement types to implement, knowing where to place them in a data flow and how frequently to measure. Common conceptual models for defining and storing of data quality results for purposes of trend analysis are also included as well as generic business requirements for ongoing measuring and monitoring including calculations and comparisons that make the measurements meaningful and help understand trends and detect anomalies.

Demonstrates how to leverage a technology independent data quality measurement framework for your specific business priorities and data quality challenges
Enables discussions between business and IT with a non-technical vocabulary for data quality measurement
Describes how to measure data quality on an ongoing basis with generic measurement types that can be applied to any situation "

The second edition of Multi-Objective Management in Freight Logistics builds upon the first, providing a detailed study of freight transportation systems, with a specific focus on multi-objective modelling. It offers decision-makers methods and tools for implementing multi-objective optimisation models in logistics. The second edition also includes brand-new chapters on green supply chain and hybrid fleet management problems. After presenting the general framework and multi-objective optimization, the book analyses green logistic focusing on two main aspects: green corridors and network design; next, it studies logistic issues in a maritime terminal and route planning in the context of hazardous material transportation. Finally, heterogeneous fleets distribution and coordination models are discussed. The book presents problems providing the mathematics, algorithms, implementations, and the related experiments for each problem. It offers a valuable resource for postgraduate students and researchers in transportation, logistics and operations, as well as practitioners working in service systems.

This is the first book to present marketing strategy of high-tech products and services in a legal, economic, and global context. From software to hardware, from pharmaceuticals to digital movies and TV, the authors argue that the understanding of intellectual property rights (IPRs) is essential to devising effective marketing strategies.

This book mainly introduces the latest development of generalized intuitionistic multiplicative fuzzy calculus and its application. The book pursues three major objectives: (1) to introduce the calculus models with concrete mathematical expressions for generalized intuitionistic multiplicative fuzzy information; (2) to introduce new information fusion methods based on the definite integral models; and (3) to clarify the involved approaches bymilitary case. The book is especially valuable for readers to understand how the theoretical framework of generalized intuitionistic multiplicative fuzzy calculus is constructed, not only discrete or continuous but also correlative (generalized) intuitionistic (multiplicative) fuzzy information is aggregated based on the definite integral models and the theory with a military practice is integrated, which would deepen the understanding and give researchers more inspiration in practical decision analysis under uncertainties.