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Last updated on 2024年7月5日

Here's how you can use logical reasoning to tackle complex technical issues as an Engineering Manager.

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As an Engineering Manager, you're often at the helm of solving complex technical issues that can be daunting. Logical reasoning is a critical tool in your arsenal, allowing you to dissect problems methodically and arrive at robust solutions. This analytical approach involves clear, structured thinking, which is essential when dealing with intricate systems and processes. By applying logical reasoning, you can break down technical challenges into manageable parts, assess them objectively, and make decisions that are both effective and efficient.

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Sergio Daruis, M.Sc.

Manager | Operations | Maintenance | Integrity | Risk | Reliability | Technical Regulatory Compliance
Syed Ahmad

Engineering Project Manager | Industrial & Mobile Machine Automation

1 Define Problem

To tackle complex technical issues effectively, start by defining the problem clearly . This involves understanding the issue in its entirety and identifying its boundaries. As an Engineering Manager, you should ask probing questions to uncover the root cause of the problem. Analyze the symptoms, consider the context, and gather relevant data. By doing so, you establish a solid foundation for problem-solving and ensure that your team is not just addressing symptoms but the underlying issue.

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Sergio Daruis, M.Sc.

Manager | Operations | Maintenance | Integrity | Risk | Reliability | Technical Regulatory Compliance
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As an Engineering Managers we should support the identification of root cause of the problem. To do so, there are several very well known methodologies that could be applied as RCA.(5whys, Ishikawa Diagram, Block Diagram, ETA, FTA, FMEA, FMECA, statistical methodologies to identify bad actors, pareto analysis etc...). Defining a proper methodology applicable to the problem in hands and working with your team for sure could contribute to seize the problem.

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Syed Ahmad

Engineering Project Manager | Industrial & Mobile Machine Automation
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Problems are part of the daily life of an engineering team. Identifying the issue is the first critical step towards problem solving. Clearly and concisely state the problem. Next is root cause analysis of the problem. We had a great success in our team with using fishbone diagram as one of the methods to pinpoint the origin of the problem.

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Festus Adeyemo

Senior Process Engr | Environmental Engr | Project Manager
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Defining the problem clearly helps to create a foundation for understanding how to tackle the complex issue. And this can be done in the following ways: - Gather all relevant information and data. - Identify the core issue and its impact on the project or system. - Break down the problem into smaller, manageable components.

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2 Gather Data

Once the problem is defined, the next step is to gather all relevant data . This includes technical specifications , performance metrics , and any other pertinent information that can shed light on the issue at hand. As an Engineering Manager, ensure that your team collects data systematically and from reliable sources. Accurate data is crucial for logical reasoning because it forms the basis of your analysis and subsequent decisions.

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Festus Adeyemo

Senior Process Engr | Environmental Engr | Project Manager
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Data gathering methods help to properly collect and store data securely. Data cleaning should also be done just after Data gathering. It is a crucial step in data preprocessing and is essential for ensuring the quality and reliability of the data used for analysis. Data cleaning can be done in the following ways: Step 1: Identify data discrepancies using data observability tools. Step 2: Remove data discrepancies. Step 3: Standardize data formats. Step 4: Consolidate data sets. Step 5: Check data integrity. Step 6: Store data securely. Step 7: Expose data to experts/ teams

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3 Analyze Patterns

With the data in hand, begin analyzing patterns and correlations that may point to the cause of the issue. Look for inconsistencies, anomalies, or trends that can provide insights into the problem's nature. As an Engineering Manager, encourage your team to approach this analysis without bias or preconceived notions. Objective pattern recognition is a key aspect of logical reasoning and can lead to breakthroughs in understanding complex technical problems.

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Festus Adeyemo

Senior Process Engr | Environmental Engr | Project Manager
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After collecting and storing data, as engineering managers, we have to analyze the data to reveal patterns. And this can be done in the following ways: - Use data analysis and technical expertise to understand the root causes. - Identify patterns, anomalies, and correlations within the data. - Consult with team members and experts to gain multiple perspectives.

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4 Formulate Hypotheses

Based on your data analysis, formulate hypotheses about what could be causing the problem. These educated guesses should be plausible explanations that you can test. As an Engineering Manager, you should ensure that these hypotheses are clear and testable. Logical reasoning requires that hypotheses are structured in such a way that they can be confirmed or refuted through further investigation and experimentation.

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Festus Adeyemo

Senior Process Engr | Environmental Engr | Project Manager
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After observing trends/root causes during the analysis, you can create your hypotheses in the following ways: -Formulate potential solutions or explanations based on the analysis. -Ensure each hypothesis is based on logical reasoning and available empirical evidence

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5 Test Solutions

After hypothesizing, it's time to test potential solutions . Design experiments or simulations that will challenge your hypotheses under controlled conditions. As an Engineering Manager, oversee this process to ensure that it's methodical and that the results are accurately recorded. Testing is a critical step in logical reasoning as it allows you to verify your assumptions and refine your understanding of the problem based on empirical evidence.

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Festus Adeyemo

Senior Process Engr | Environmental Engr | Project Manager
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Testing and validation can be carried out as follows: -Implement the most promising solution on a small scale or in a controlled environment. -Monitor results and gather feedback to determine the effectiveness. -Adjust the approach as needed based on real-world outcomes.

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6 Implement Fixes

Finally, once a solution has been tested and proven effective, implement the fix . As an Engineering Manager, you should plan the implementation carefully to minimize disruption and ensure that the solution integrates seamlessly with existing systems. Monitor the results closely to confirm that the issue has been resolved. Logical reasoning doesn't end with a fix; it also involves evaluating the outcome to ensure that the problem has been tackled effectively.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Here's how you can use logical reasoning to tackle complex technical issues as an Engineering Manager.

1

2

3

4

5

6

7

1 Define Problem

2 Gather Data

3 Analyze Patterns

4 Formulate Hypotheses

5 Test Solutions

6 Implement Fixes

7 Here’s what else to consider

Engineering Management

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Here's how you can use logical reasoning to tackle complex technical issues as an Engineering Manager.

1

2

3

4

5

6

7

1 Define Problem

2 Gather Data

3 Analyze Patterns

4 Formulate Hypotheses

5 Test Solutions

6 Implement Fixes

7 Here’s what else to consider

Engineering Management

给文章评分

感谢您的反馈

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