Time series: theory and methods
Time series: theory and methods
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Controlling chaos in a switched arrival system
Systems & Control Letters
Genetic programming: an introduction: on the automatic evolution of computer programs and its applications
Nonlinear time series analysis
Nonlinear time series analysis
Chaos detection and control in production systems
International conference on Advances in production management systems
Time Series Analysis, Forecasting and Control
Time Series Analysis, Forecasting and Control
Prognoserechnung
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Increasing complexity and dynamics of today's markets involve volatile customer demands. These conditions complicate a company's sales forecast. However, high-quality data on future sales is of eminent importance for a substantiated long- and middle-term planning of production programs, schedules and resources. Common forecasting methods are mostly based on quantitative and stochastic characteristics. Methods of nonlinear dynamics enlarge the supply of classical and specialized methods by considering deterministic structures within the customer-related time series. The paper at hand presents the research approach of a project which links quantitative and qualitative characteristics of customer demands with the selection and application of suitable forecasting methods emphasizing methods of nonlinear dynamics.