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Define operations management
Operations management is the administration of business practices to create the highest level of efficiency possible within an organization.
The two types are single-factor productivity (output per unit of one input) and multi-factor productivity (output per unit of multiple inputs).
What is the difference between JIT, Lean Operations, and Toyota Production System (TPS)?
JIT reduces inventory and increases efficiency. Lean operations include JIT but also eliminate waste and focus on continuous improvement. TPS is Toyota's system integrating JIT and lean principles.
A pull system produces items only when needed (demand-driven), while a push system produces based on forecasts, often leading to excess inventory.
Kaizen is a Japanese term meaning 'continuous improvement,' emphasizing small, incremental changes to improve efficiency and quality.
Kanban is a visual scheduling system that controls workflow by signaling when to produce or move items in a JIT system.
1. Reduces inventory 2. Increases efficiency 3. Enhances production flow 4. Reduces lead time 5. Improves communication and flexibility
1. Many suppliers - Competition drives down costs; may lead to quality inconsistency.
2. Few suppliers - Stronger relationships and better quality; increases dependency and risk.
3. Vertical integration - Greater control over supply chain; requires high investment.
4. Joint ventures - Shared risk and resources; can be complex to manage.
5. Keiretsu networks - Long-term partnerships; reduces flexibility.
6. Virtual companies - Flexible and scalable; relies on external providers, increasing vulnerability.
1. Supplier failures
2. Demand fluctuations
3. Natural disasters
4. Cybersecurity threats
5. Transportation disruptions
6. Compliance and regulatory issues.
Forecasting is the process of making predictions about future trends based on historical data and analysis.
1. Short-range forecast: Up to 1 year, used for scheduling and inventory decisions.
2. Medium-range forecast: 1 to 3 years, used for budgeting and sales planning.
3. Long-range forecast: More than 3 years, used for strategic planning and new product
development.
Describe the steps that are used to develop a forecasting system.
1. Determine the purpose of the forecast.
2. Select the appropriate forecasting technique.
3. Gather and analyze historical data.
4. Make the forecast.
5. Monitor and revise the forecast as needed.
1. Qualitative approach: Uses expert judgment and opinions.
2. Quantitative approach: Uses mathematical models and historical data.
1. Jury of executive opinion: Experts provide insights and reach a consensus.
2. Delphi method: Experts answer questions anonymously, and responses are refined through
multiple rounds.
3. Sales force composite: Salespeople estimate future sales.
4. Market survey: Customer opinions and preferences are gathered
Time-series uses historical data trends, while associative models use independent variables to predict demand. Such as sales and advertising spending.
1. Trend: Long-term upward or downward movement.
2. Seasonality: Regular fluctuations due to seasons.
3. Cycles: Longer-term fluctuations influenced by economic or business cycles.
4. Random variations: Unpredictable fluctuations due to external factors.
What is the range of values for the coefficient of determination?
The coefficient of determination (R²) ranges from 0 to 1, where 0 indicates no explanatory power and 1 indicates perfect explanatory power of the independent variable over the dependent variable.
Explain, in your own words, the meaning of the correlation coefficient.
The correlation coefficient measures the strength and direction of the linear relationship between two variables, ranging from -1 to 1. A value closer to 1 indicates a strong positive correlation, while a value closer to -1 indicates a strong negative correlation. 0 being little to no relationship.
What is a qualitative forecasting model and when should it be used?
A qualitative forecasting model relies on expert opinions and is used when historical data is limited or unavailable, such as for new product launches.