Im Mittelpunkt steht ein (spiel-)theoretisch wie auch experimentell untersuchter Finanzmarkt, dessen Preisbildungsmechanismus wohl erstmalig unter vollständiger Endogenisierung der zugrundeliegenden Fundamentalwerte geschlossen modelliert wird.
In 2010 Ronnie Lessem and Alexander Schieffer published their seminal work on Integral Research and Innovation, whereby they identified the four R's; relational and renewal, reason and realization based research paths that altogether encompass the major qualitative research methods and methodologies.
Intense global competition in manufacturing has compelled manufacturers to incorporate repetitive processing and automation for improving productivity.
Although transformations in retailing are of tremendous current interest, there is no single broad-ranging account of the evolution of retailing formats.
This book investigates the intuitive application of strategic knowledge arbitrage and serendipity (SKARSE) principles by CEOs in their use of mobile electronic devices.
In order to manage the transition towards a sustainable future electricity system, an in-depth understanding of the key technological, economic, environmental and societal drivers for electricity markets is required.
Operations Research began with the mathematical scheduling of a massive project-logistically supplying Europe with military equipment and goods during the WWII.
This book helps apply managerial accounting techniques to problems in areas including that of cost estimation, cost control, product pricing, and business segment discontinuation.
Advances in Subsurface Data Analytics: Traditional and Physics-Based Approaches brings together the fundamentals of popular and emerging machine learning (ML) algorithms with their applications in subsurface analysis, including geology, geophysics, petrophysics, and reservoir engineering.
This third edition provides operations management students, academics and professionals with a fully up-to-date, practical and comprehensive sourcebook in the science of distribution and Supply Chain Management (SCM).
The book contains description of a real life application of modern mathematical optimization tools in an important problem solution for power networks.
This book focuses on the implementation of Quality FunctionDeployment (QFD) in the construction industry as a tool to help buildingdesigners arrive at optimal decisions for external envelope systems withsustainable and buildable design goals.
Metaheuristics: Progress as Real Problem Solvers is a peer-reviewed volume of eighteen current, cutting-edge papers by leading researchers in the field.
Metaheuristics, in their original definition, are solution methods that orchestrate an interaction between local improvement procedures and higher level strategies to create a process capable of escaping from local optima and performing a robust search of a solution space.
With a revised understanding of the science and philosophy behind human needs, businesses will be better equipped to provide long-term satisfaction for their customers.
This book presents a range of qualitative and quantitative analyses in areas such as cybersecurity, sustainability, multivariate analysis, customer satisfaction, parametric programming, software reliability growth modeling, and blockchain technology, to name but a few.
The book presents the proceedings of the 5th EAI International Conference on Management of Manufacturing Systems (MMS 2020), which took place online on October 27-29, 2020.
This book highlights new and original contributions on Graph Theory and Combinatorial Optimization both from the theoretical point of view and from applications in all fields.
Management Lessons from Mayo Clinic reveals for the first time how this complex service organization fosters a culture that exceeds customer expectations and earns deep loyalty from both customers and employees.
Gegenstand dieses Buches sind die in der Literatur und auch in der aktuellen Forschung verwendeten Ansätze der linearen Optimierung unter Unsicherheit.
Value aggregation to goods and services is unbelievably important to the balance of trade of modern nations, yet it receives minute attention by economists and policy-makers alike.
In recent years researchers have spent much effort in developing efficient heuristic algorithms for solving the class of NP-complete problems which are widely believed to be inherently intractable from the computational point of view.
This interdisciplinary reference and guide provides an introduction to modeling methodologies and models which form the starting point for deriving efficient and effective solution techniques, and presents a series of case studies that demonstrate how heuristic and analytical approaches may be used to solve large and complex problems.
