This book moves beyond a general introduction to Product Lifecycle Management (PLM) and its basic elements to provide a more in-depth analysis of the subjects introduced in Volume 1 (Product Lifecycle Management: 21st Century Paradigm for Product Realisation).
This book examines application and methods to incorporating stochastic parameter variations into the optimization process to decrease expense in corrective measures.
This book is primarily intended to serve as a research-based textbook on sustainable supply chains for graduate programs in Business, Management, Industrial Engineering, and Industrial Ecology, but it should also be of interest for researchers in the broader sustainable supply chain space, whether from the operations management and industrial engineering side or more from the industrial ecology and life-cycle assessment side.
The emergence of high-performance computers and sophisticated software tech- nology has led to significant advances in the development and application of operations research.
Handbook of Mobility Data Mining, Volume One: Data Preprocessing and Visualization introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach.
The book presents the proceedings of the 8th EAI International Conference on Management of Manufacturing Systems (MMS 2023), which took place October 24-26, 2023 in Bratislava, Slovakia.
This book introduces readers to benchmarking techniques in the stochastic environment, primarily stochastic data envelopment analysis (DEA), and provides stochastic models in DEA for the possibility of variations in inputs and outputs.
Optimization from Human Genes to Cutting Edge Technologies The challenges faced by industry today are so complex that they can only be solved through the help and participation of optimization ex- perts.
This book provides insights from research and practice in how organizations were able to sustain resilience in their global supply chains during the COVID-19 pandemic and to advance the understanding of supply chain risk management.
Extreme Hydroclimatic Events and Multivariate Hazards in a Changing Environment: A Remote Sensing Approach reviews multivariate hazards in a non-stationary environment, covering both short and long-term predictions from earth observations, along with long-term climate dynamics and models.
Post-Optimal Analysis in Linear Semi-Infinite Optimization examines the following topics in regards to linear semi-infinite optimization: modeling uncertainty, qualitative stability analysis, quantitative stability analysis and sensitivity analysis.
This book analyzes cyberdefense from a novel and interdisciplinary perspective, offering solutions for problems that have long impeded a more efficient defense.
Industry consolidation, mergers, changes to business models, the emergence of new threats all require managers to understand highly complex situations, assess risk and opportunity and make informed decisions.
Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods presents the concepts and details of applications of MADM methods.
I have been pleased with the favourable reception of the first edition of this book and I am grateful to have the opportunity to prepare this second edition.
This book constitutes the refereed proceedings of the Second International Meeting on Innovation for Systems Information and Decision meeting, INSID 2020, held in Recife, Brazil, in December 2020.
From the contents:Neural networks theory and applications: NNs (= neural networks) classifier on continuous data domains quantum associative memory a new class of neuron-like discrete filters to image processing modular NNs for improving generalisation properties presynaptic inhibition modelling for image processing application NN recognition system for a curvature primal sketch NN based nonlinear temporal-spatial noise rejection system relaxation rate for improving Hopfield network Oja's NN and influence of the learning gain on its dynamics Genetic algorithms theory and applications: transposition: a biological-inspired mechanism to use with GAs (= genetic algorithms) GA for decision tree induction optimising decision classifications using GAs scheduling tasks with intertask communication onto multiprocessors by GAs design of robust networks with GA effect of degenerate coding on GAs multiple traffic signal control using a GA evolving musical harmonisation niched-penalty approach for constraint handling in GAs GA with dynamic population size GA with dynamic niche clustering for multimodal function optimisationSoft computing and uncertainty: self-adaptation of evolutionary constructed decision trees by information spreading evolutionary programming of near optimal NNs
Unternehmen sind in hohem Maße auf Datenmaterial angewiesen, durch das sie über Zustände und Entwicklungen innerhalb und außerhalb des Unternehmens in formiert werden.
The most difficult part of making decisions in the health care field on all levels (national, regional, institutional, patient) is linked to the very complexity of the system itself, to the intrinsic uncertainty involved and its dynamic nature.
Motivation Stochastic Linear Programming with recourse represents one of the more widely applicable models for incorporating uncertainty within in which the SLP optimization models.
