PPT-Process Analysis II Operations -- Prof. Juran

2 Outline Types of Processes Kristin Benihana Scientific Management Operations Prof Juran 3 IV Continuous Flow III Assembly Line II Batch I Job Shop Low Volume One of a. The purpose of these systems is to provide a safe and comfortable cabin environment and to protect all cabin occupants from the physiological risks of high altitudes Modern aircraft are now operating at incr easingly high altitudes This increases th Decision Models -- Prof. Juran. 2. Overview. Monte Carlo Simulation. Basic concepts and history. Excel Tricks. RAND(), IF, Boolean. Crystal Ball. Probability Distributions . Normal, Gamma, Uniform, Triangular. Applied Regression -- Prof. Juran. 2. Outline for Session 2. More Simple Regression. Bottom Part of the Output . Hypothesis Testing. Significance of the slope and intercept parameters . Interval Estimation. Applied Regression -- Prof. Juran. 2. Outline for Session 4. Summary Measures for the Full Model . Top Section of the Output. Interval Estimation . More Multiple Regression. Movers. Nonlinear Regression. Decision Models -- Prof. Juran. 2. Overview. Multiperiod Models. Data Processing at the IRS . Arbitrage with Bonds. Transportation Models. Gribbin Brewing . Decision Models -- Prof. Juran. 3. IRS Example. Decision Models -- Prof. Juran. 2. Example: Preventive Maintenance. At the beginning of each week, a machine is in one of four conditions: 1 = excellent; 2 = good; 3 = average; 4 = bad. . The weekly revenue earned by a machine in state 1, 2, 3, or 4 is $100, $90, $50, or $10, respectively. . Decision Models -- Prof. Juran. 2. Overview. Forecasting Methods . Exponential Smoothing. Simple. Trend (Holt’s Method). Seasonality (Winters’ Method). Regression. Trend. Seasonality. Lagged Variables. Block 1 - 12:30pm to 1:30pm. Lean Operations and Competitive Advantage. Waste and Quality. 10 minute break. Block 2 - 1:40pm . to . 3:30pm. Continuous Process Improvement. Implementing Lean: Kaizen Exercise. 2. Overview. Monte Carlo Simulation. Basic concepts and history. Excel Tricks. RAND(), IF, Boolean. Crystal Ball. Probability Distributions . Normal, Gamma, Uniform, Triangular. Assumption and Forecast cells. PRODUCT AND SERVICE DESIGN. . Operations and Supply Strategy Framework. 2-. 2. UNDERSTANDING PRODUCTIVITY. . Productivity . is a common measure on how well resources are being used. In the broadest sense, it can be defined as the following ratio:. Medical Operations Support for ISS Operations The Role of the BME Operations Team Leads Rob Janney Veronica Sabatier Space Medicine Division SD2 Medical Operations Support for ISS Operations Consists of a team of flight surgeons, biomedical flight controllers (BMEs), and BME Operations Team Leads (OTLs). Together, they possess a unique responsibility to the onboard ISS crew. Session 10b Decision Models -- Prof. Juran 2 Overview Marketing Simulation Models New Product Development Decision Uncertainty about competitor behavior Uncertainty about customer behavior Market Shares ExampleDecisionaware ProcessModels Prof. Dr. Knut Hinkelmannknut.hinkelmann@fhnw.ch ExampleDecisionsin Processes KEBI ��■How many decisions are made in this process? Information System LO25–1: . Explain operations . consulting and how money is made in the industry.. LO25–2: Illustrate the operations analysis tools that are used in the consulting industry.. LO25–3: Analyze processes using business process reengineering concepts..