Peramalan dan Agregat Planning Quiz

What is demand forecasting?

• Forecasting future demand by considering past data and market patterns.

• Estimating future demand based on historical data and market trends.

• Predicting future demand based on current data and market trends.

• Determining future demand by analyzing historical data and market conditions.

Name two aggregate planning techniques.

• demand forecasting and master production scheduling

• chase strategy and level strategy

• just-in-time and material requirements planning

• backordering and subcontracting

What is the purpose of demand forecasting?

• To determine the current demand for a product or service.

• To estimate future demand for a product or service.

• To analyze past demand for a product or service.

• To develop marketing strategies for a product or service.

What are the benefits of aggregate planning?

• Increasing costs, reducing customer service, and managing production capacity ineffectively.

• Managing production capacity effectively, optimizing resources, and reducing costs.

• Minimizing resources, increasing costs, and reducing customer service.

• Optimizing resources, reducing costs, improving customer service, and managing production capacity effectively.

What are the limitations of demand forecasting?

• Difficulty in forecasting demand for new products

• The limitations of demand forecasting include inaccurate data, external factors, challenges in long-term forecasting, lack of accounting for sudden events, and forecasting errors.

• Inability to account for changing consumer preferences

• Limited availability of historical data

Explain the chase strategy in aggregate planning.

• The chase strategy in aggregate planning is a production planning approach where the demand rate is adjusted to match the production rate.

• The chase strategy in aggregate planning is a production planning approach where the production rate is fixed and the demand rate fluctuates.

• The chase strategy in aggregate planning is a production planning approach where the production rate is adjusted randomly without considering the demand rate.

• The chase strategy in aggregate planning is a production planning approach where the production rate is adjusted to match the demand rate.

What are the different types of demand forecasting methods?

• qualitative methods, time series methods, and causal methods

• quantitative methods, regression methods, and seasonal methods.

• linear regression methods, moving average methods, and panel data methods.

• statistical methods, exponential smoothing methods, and judgmental methods.

What factors should be considered in aggregate planning?

• Raw material availability, marketing strategy, transportation costs

• Customer preferences, competitor analysis, quality control

• Government regulations, employee morale, equipment maintenance

• Demand forecast, production capacity, inventory levels, workforce availability, and production costs.

What is the difference between level strategy and chase strategy in aggregate planning?

• Level strategy involves maintaining a constant workforce and adjusting production through inventory levels and backorders, while chase strategy involves adjusting the workforce to match the production requirements, resulting in no inventory or backorders.

• Level strategy involves adjusting the workforce to match the production requirements, resulting in high inventory levels and backorders.

• Chase strategy involves maintaining a constant workforce and adjusting production through inventory levels and backorders.

• Level strategy involves adjusting the workforce to match the production requirements, resulting in no inventory or backorders.

What are the challenges in demand forecasting?

• Uncertainty in market conditions, changing customer preferences, seasonality, limited historical data, and the impact of external factors.

• Inefficient supply chain management, lack of collaboration, and poor data quality.

• Stiff competition, economic instability, and inadequate forecasting models.

• Lack of technological advancements, limited resources, and inaccurate data analysis.