Impact Analysis

Correct Answer: Production flow interdependencies between work stations

Production flow interdependencies between work stations is the most reliable indicator for predicting downstream effects in manufacturing process changes for several key reasons: 1. It captures the actual connections and dependencies in the production system 2. It shows how changes in one area will affect connected processes 3. It helps identify potential bottlenecks and ripple effects 4. It represents the real-time operational relationships Why other options are less effective: Historical data from similar projects may not be applicable as each manufacturing setup has unique characteristics and conditions. The number of affected employees is a secondary consideration that doesn't fully capture process impacts on production outcomes. Resource allocation patterns, while important, are more focused on capacity planning than predicting how changes will affect the production flow system as a whole.

Correct Answer: Current process performance metrics and baseline data

Current process performance metrics and baseline data serve as the most reliable basis for measuring potential disruptions because: 1. They provide actual, measurable data from the existing system 2. They establish a clear reference point for comparing future performance 3. They reflect the organization's specific operational context 4. They enable quantifiable measurement of impact Why other options are less effective: Historical data from other organizations may not apply to your specific context and processes. End-user feedback and pilot testing, while valuable, are more subjective and limited in scope compared to comprehensive performance metrics. Expert opinions and stakeholder consultations, though important, are subjective and may be influenced by personal biases or limited perspectives. They lack the empirical foundation that actual performance data provides.

Correct Answer: Cross-functional dependency matrix

A Cross-functional dependency matrix is the most effective tool for this scenario because: 1. It specifically addresses interdependencies between deliverables across different business units 2. It provides a clear visual representation of relationships between various project components 3. It helps identify and manage complex interconnections in a structured way 4. It enables better coordination and risk management across multiple business units The other options are less suitable because: A comprehensive strategic alignment framework is too broad and focuses more on strategy than specific deliverable dependencies. A root cause analysis diagram is designed to identify problem sources rather than manage ongoing interdependencies. A process flow chart with stakeholder influence indicators focuses on sequential processes and stakeholder relationships rather than deliverable dependencies.