Management decision making

Problems with high stakes, involving human perceptions and judgements, and whose resolutions have long-term repercussions, call for a rational approach to their solution.

Rapid Modelling and Quick Response presents new research developments in the fields of rapid modelling and quick response linked with performance improvements (based on lead time reduction, etc.

Data Mining introduces in clear and simple ways how to use existing data mining methods to obtain effective solutions for a variety of management and engineering design problems.

Supply Chain Engineering considers how modern production and operations management techniques can respond to the pressures of the competitive global marketplace.

Lean production, has long been regarded as critical to business success in many industries.

Mass customization (MC) has been hailed as a successful operations strategy across manufacturing and service industries for the past three decades.

A Perspective on Two Decades of Rapid Modeling It is an honor for me to be asked to write a foreword to the Proceedings of the 1st Rapid Modeling Conference.

Managing Supply Chain Risk and Vulnerability, a book that both practitioners and students can use to better understand and manage supply chain risk, presents topics on decision making related to supply chain risk.

Production development is about improving existing production systems and developing new ones.

As I write, the financial systems of the world are collapsing with still no clear indication of what the consequences will be and which measures should be taken to avoid such a crisis in the future.

Overview and Goals This book is dedicated to scheduling for parallel processing.

Thecontentofthisbookismotivatedbytherecentchangesinglobalmarketsandthe availability of new transportation services.

Success in the continuous process industries depends upon the ability to adapt to the demands of global supply chains in real-time.

Engineering solutions and financial decisions are intimately tied together.

Network models are critical tools in business, management, science and industry.

This book is a tribute to Prof.

The aim of this book is to help enable the use of the technique of simulation modelling in the organisation.

Reliability theory is a major concern for engineers and managers engaged in making high quality products and designing highly reliable systems.

attempt has been made to capture the new trends in the regulations, to the extent they are known.

Often, real-world problems modeled by Markov decision processes (MDPs) are difficult to solve in practise because of the curse of dimensionality.

Risk management is a decision-making process which considers various factors with risk assessments relating to a potential hazard, in order to develop regulatory response options.

Each year billions of dollars are being spent to develop, manufacture, and operate transportation systems such as aircraft, ships, trains, and motor vehicles throughout the world.

Recent worldwide advances in manufacturing technologies led to a metamorphism in the industry.

Since the 1992 Rio summit, corporate environmental responsibility has grown beyond complying with increasingly stringent environmental regulation and taking up proactive initiatives.

This book is a sequel to The Practice of Machine Design, and The Practice of Machine Design, Book 3 - Learning from Failure.

Decision-making Support Systems (DMSS) are computer-based systems that support individual or organisational decision-making processes.

Manufacturing systems work with scarce resources in dynamic environments.

Globalisation of the world's economy is leading to rapid change and uncertainties in society, politics and markets.

Enterprise Modelling (EM) methods are frequently used by entrepreneurs as an analysis tool for describing and redesigning their businesses.

In many engineering design and optimization problems, the presence of uncertainty in the data is a critical issue.

Composite decisions consist of subdecisions and correspond to a composite system.

Product Lifecycle Management (PLM), a new paradigm for product manufacturing, enables a company to manage its products all the way across their lifecycles in the most effective way.

Parametric cost estimating, when properly used, is a powerful and cost effective technique.

It is said that six sigma methods are vital to survive, let alone thrive, in today's competitive markets, but what are these methods and how or when do we use them?

This book introduces the mathematical foundations of distributionally robust optimization (DRO) for decision-making problems with ambiguous uncertainties and applies them to tackle the critical challenge of energy storage sizing in renewable-integrated power systems, providing readers with an efficient and reliable approach to analyze and design real-world energy systems with uncertainties.

Is Apple conscious?

This book explores recent developments and exciting challenges in operations research and mathematical optimization.

When people get together, there is often one stand-out individual who others turn to for answers.

This book integrates for readers three areas of knowledge, pertaining to risk-based project decision making: project risk management (PRM), complexity theory, and decision-making under deep uncertainty (DMDU).

This book presents a comprehensive series of methods in nonsmooth optimization, with a particular focus on their application in stochastic programming and dedicated algorithms for decision-making under uncertainty.

This book is structured to encompass both the foundational and specialized aspects of quantitative analysis in geography.

This book constitutes the proceedings of the 9th International Conference on Decision Support Systems Technologies, ICDSST 2023, held during May 30 - June 1, 2023.

This book introduces readers to order analysis and various aspects of deep learning, and describes important connections to optimization, such as nonlinear optimization as well as vector and set optimization.

This comprehensive textbook/reference provides an in-depth overview of the key aspects of transportation analysis, with an emphasis on modeling real transportation systems and executing the models.

The purpose of this book is to provide a sound introduction to the study of real-world phenomena that possess random variation.

Markov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences.

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.

Hybrid Predictive Control for Dynamic Transport Problems develops methods for the design of predictive control strategies for nonlinear-dynamic hybrid discrete-/continuous-variable systems.

The time has come to move into a more humanistic approach of technology and to understand where our world is moving to in the early twenty-first century.

In todays industries, New Product Development (NPD) is often the focal point of competition.