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Modelling has permeated virtually all areas of industrial, environmental, economic, bio-medical or civil engineering: yet the use of models for decision-making raises a number of issues to which this book is dedicated:How uncertain is my model ? Is it truly valuable to support decision-making ? What kind of decision can be truly supported and how can I handle residual uncertainty ? How much refined should the mathematical description be, given the true data limitations ? Could the uncertainty be reduced through more data, increased modeling investment or computational budget ? Should it be reduced now or later ? How robust is the analysis or the computational methods involved ? Should / could those methods be more robust ? Does it make sense to handle uncertainty, risk, lack of knowledge, variability or errors altogether ? How reasonable is the choice of probabilistic modeling for rare events ? How rare are the events to be considered ? How far does it make sense to handle extreme events and elaborate confidence figures ? Can I take advantage of expert / phenomenological knowledge to tighten the probabilistic figures ? Are there connex domains that could provide models or inspiration for my problem ?Written by a leader at the crossroads of industry, academia and engineering, and based on decades of multi-disciplinary field experience, Modelling Under Risk and Uncertainty gives a self-consistent introduction to the methods involved by any type of modeling development acknowledging the inevitable uncertainty and associated risks. It goes beyond the \"black-box\" view that some analysts, modelers, risk experts or statisticians develop on the underlying phenomenology of the environmental or industrial processes, without valuing enough their physical properties and inner modelling potential nor challenging the practical plausibility of mathematical hypotheses; conversely it is also to attract environmental or engineering modellers to better handle model confidence issues through finer statistical and risk analysis material taking advantage of advanced scientific computing, to face new regulations departing from deterministic design or support robust decision-making.Modelling Under Risk and Uncertainty:Addresses a concern of growing interest for large industries, environmentalists or analysts: robust modeling for decision-making in complex systems.Gives new insights into the peculiar mathematical and computational challenges generated by recent industrial safety or environmental control analysis for rare events.Implements decision theory choices differentiating or aggregating the dimensions of risk/aleatory and epistemic uncertainty through a consistent multi-disciplinary set of statistical estimation, physical modelling, robust computation and risk analysis.Provides an original review of the advanced inverse probabilistic approaches for model identification, calibration or data assimilation, key to digest fast-growing multi-physical data acquisition.Illustrated with one favourite pedagogical example crossing natural risk, engineering and economics, developed throughout the book to facilitate the reading and understanding.Supports Master/PhD-level course as well as advanced tutorials for professional trainingAnalysts and researchers in numerical modeling, applied statistics, scientific computing, reliability, advanced engineering, natural risk or environmental science will benefit from this book.

\"This book aims at giving a new insight on the peculiar mathematical challenges generated by recent industrial safety or environmental control analysis\"--

\"An incredible volume of data is generated at a very high speed within the supply chain and it is necessary to understand, use and effectively apply the knowledge learned from analyzing data using intelligent business models. However, practitioners and students in the field of supply chain management face a number of challenges when dealing with business models and mathematical modelling. Supply Chain Analytics and Modelling presents a range of business analytics models used within the supply chain to help readers develop knowledge on a variety of topics to overcome common issues. Supply Chain Analytics and Modelling covers areas including supply chain planning, single and multi-objective optimization, demand forecasting, product allocations, end-to-end supply chain simulation, vehicle routing and scheduling models. Learning is supported by case studies of specialist software packages for each example. Readers will also be provided with a critical view on how supply chain management performance measurement systems have been developed and supported by reliable and accurate data available in the supply chain. Online resources including lecturer slides are available\"-- Provided by publisher.

Modern business practice, especially in the field of marketing, depends on the integration of creative and analytical thinking. One of the tools in this process is the use of management models to guide business decisions. However the inherent power of the models is only released when the people applying them have the ability to gather relevant information and interpret the relationships between the variables in the model. This book examines the role of some of the most popular management models. It helps the reader appreciate when they should be applied; it suggests which models may be relevant; and, importantly, identifies the type of information needed to implement them. Marketing and Management Models: A Guide to Understanding and Using Business Models reduces the complexity of management models through a logical and systematic approach. Models recognize the impact of globalization, technology, systems thinking, and the need for an integrated approach in strategic marketing. The reader will find new models dealing with consumer engagement, gamification, supply chain management, and cultural integration. The contents will be of particular assistance to students of business and marketing qualifications who have not yet had working experience; and junior market researchers and managers responsible for the preparation of strategic analyses prior to problem-solving and planning sessions.

This book primarily addresses various game theory phenomena in the context of management practice. As such, it helps readers identify the profound game theory principles behind these phenomena. At the same time, the game theory principles in the book can also provide a degree of guidance for solving practical problems. As one of the main areas in management research, there is already an extensive body of literature on game theory. However, it remains mainly theoretical, focusing on abstract arguments and purely numerical examples purely. This book addresses that gap, helping readers apply game theory in their actual management or research work.

Un guide pratique et accessible pour apprendre a utiliser le diagramme d'Ishikawa !Le diagramme concu par le professeur Kaoru Ishikawa est un outil precieux de gestion de la qualite qui distingue les causes et les effets d'un probleme survenu dans une entreprise. Prenant la forme d'un poisson a aretes, cette representation graphique donne une meilleure visualisation de la hierarchie des causes pour vous aider a identifier plus clairement les sources de la difficulte.Ce livre vous aidera a :* mener a bien vos projets* percevoir les liens de cause a effet* considerer tous les aspects d'un probleme* et bien plus encore !Le mot de l'editeur : Avec l'auteure, Ariane de Saeger, nous avons cherche a presenter aux lecteurs un outil simple et efficace qui, couple a d'autres methodes, peut les aider a trouver des solutions aux problemes les plus complexes rencontres dans leurs entreprises. Juliette NeveA PROPOS DE LA SERIE 50MINUTES | Gestion & MarketingLa serie Gestion & Marketing de la collection 50MINUTES fournit des outils pour comprendre rapidement de nombreuses theories et les concepts qui faconnent le monde economique d'aujourd'hui. Nous avons concu la collection en pensant aux nombreux professionnels obliges de se former en permanence en economie, en management, en strategie ou en marketing. Nos auteurs combinent des elements de theorie, des etudes de cas et de nombreux exemples pratiques pour permettre aux lecteurs de developper leurs competences et leur expertise.