Demand Management: Forecasting Methods

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Time Series: Forecasting and Long Memory

Explores forecasting in time series analysis, long memory processes, and ARCH models for volatility modeling.

Forecast and Demand Analysis

Explores models for prediction, collaborative Sales and Operations Planning, supply chain management, and inventory optimization.

Time Series Forecasting: ARMA Models

Covers ARMA models for time series forecasting, discussing implications, properties of forecast error, challenges with predictions, and covariance models.

Production Planning Strategy

Covers the Obermeyer solution approach for production planning and the impact of early market information.

Count Data Models & Univariate Time Series Analysis

Covers count data models and Poisson regression, then transitions to univariate time series analysis for forecasting economic variables.

Sport Obermeyer Case Study

Delves into the Sport Obermeyer case study, exploring supply chain challenges, forecasting methods, and production planning.

Integrated and Seasonal Processes: Time Series

Explores parametric estimation, integrated processes, seasonal modeling, and ARIMA model building in time series analysis.

Demand Management: Forecasting Methods

Explores demand management, forecasting methods, bullwhip effect, Swiss watch industry impact, and cognitive biases in business.

Univariate time series: Analysis & Modeling

Covers the analysis and modeling of univariate time series, focusing on stationarity, ARMA processes, and forecasting.

Residuals & Forecasting: MATH-342 Time Series

Covers residuals, diagnostics, overfitting, and forecasting methods in time series analysis.