Which forecasting method is most appropriate when historical data is unavailable? Which process type is most suitable for bridge construction?

Here are the answers to your questions: Which forecasting method is most appropriate when historical data is unavailable? The correct option is Delphi method. The Delphi method* is a qualitative forecasting technique that relies on the opinions of a panel of experts. It is particularly useful when historical data is scarce or non-existent, as it synthesizes expert judgment through iterative rounds of questionnaires and feedback. Moving average, weighted moving average, and exponential smoothing all require historical data for calculation. Which process type is most suitable for bridge construction? The correct option is Project process. A project process* is characterized by unique, complex, and often large-scale tasks with a defined start and end. Bridge construction is a prime example, as each bridge is typically a unique undertaking with specific designs, locations, and challenges, requiring a dedicated team and resources for a limited duration. Continuous, mass, and batch processes are suitable for producing standardized goods in high volumes. 3 done, 2 left today. You're making progress.