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Last updated on 2024年7月17日

Here's how you can debunk common misconceptions about logical reasoning in Systems Engineering.

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In the realm of Systems Engineering, logical reasoning is a cornerstone that ensures systems function as intended. However, misconceptions about this critical thinking process can lead to flawed designs and suboptimal outcomes. By understanding the truths behind logical reasoning, you can enhance your approach to Systems Engineering and ensure that your systems are both efficient and effective. This article aims to debunk common misunderstandings and provide you with the clarity needed to apply logical reasoning with confidence in your engineering projects.

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Arjun Kumar

ADAS Function Owner | ADAS L1~L3 | SoftwareDefinedVehicle | ASPICE | Safety&Security
Muhammad Abbas Mehdi

Completed ??????+ ?????? & ?????? Projects as ANSYS Expert ?? || Empowering ???????????????????? & ??????????????????…
Marcos Meneses

Software Quality?Engineer, Solutions Architect, PMP-PMI

1 Logical Basics

Logical reasoning in Systems Engineering isn't just about following a set of rules; it's about understanding the relationships between different parts of a system. You might think that logic is purely mathematical, but it's also about identifying cause and effect, understanding system behaviors, and predicting outcomes. It's essential to recognize that logical reasoning involves both deductive and inductive thinking. Deductive reasoning starts with a general premise and moves towards a specific conclusion, whereas inductive reasoning begins with specific observations and works towards a generalization. Both are crucial in Systems Engineering for different scenarios, such as troubleshooting or conceptualizing new designs.

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Muhammad Abbas Mehdi

Completed ??????+ ?????? & ?????? Projects as ANSYS Expert ?? || Empowering ???????????????????? & ?????????????????? Industries with ANSYS Simulations ??? || CV, Resume, Freelance & LinkedIn Consultant ?? || STEM ??
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- In SE, you have to be familiar with the integration and working of sub-systems towards each other. Logic does not mean mathematical logic, it means identifying the logical needs of the project. - There might be two or more solutions for one problem, but you have to go for the best one not for cheapest one.

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2 Common Myths

A widespread myth is that logical reasoning always leads to one correct answer. In Systems Engineering, multiple solutions can often solve a problem, and logical reasoning helps to evaluate the trade-offs and benefits of each. It's not about finding the single 'right' answer but rather the most suitable one given the constraints and objectives of the system. Another misconception is that emotion and creativity have no place in logical reasoning. On the contrary, intuition and creativity can inspire innovative solutions that logic alone may not reveal. Logical reasoning is about structuring these creative ideas into viable system solutions.

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Muhammad Abbas Mehdi

Completed ??????+ ?????? & ?????? Projects as ANSYS Expert ?? || Empowering ???????????????????? & ?????????????????? Industries with ANSYS Simulations ??? || CV, Resume, Freelance & LinkedIn Consultant ?? || STEM ??
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- In Engineering, even in Mathematics and Physics, there are maybe more than one solution of a single problem. Effective logical reasoning works in proportional to the Systems Thinking and helps you in achieving the best solution for your product life cycle. - I have mentioned product life cycle not product because SE deals with the processes more than the output.

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3 Logic in Practice

When applying logical reasoning in Systems Engineering, you're not just dealing with black-and-white situations. The real-world application requires flexibility and adaptability. For example, when a system doesn't perform as expected, rigid logic might not be enough to pinpoint the issue. You must be able to think outside the conventional logical framework to identify unique problems and develop innovative solutions. This might involve considering user behavior, environmental factors, or unforeseen interactions between system components that traditional logic wouldn't account for.

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Marcos Meneses

Software Quality?Engineer, Solutions Architect, PMP-PMI
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an example i have seen is that over time legacy support becomes narrow, takes more time to set up due to having to address updates from the envorinmental change

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Cody W.

Principal Model Based Systems Engineer
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One way to increase your knowledge of how to deal with these situations is to take a few courses/watch videos on human centered design. It’s incredibly helpful to change the mindset on things being purely about meeting requirements, but how to meet those requirements while also keeping the end user experience in the forefront.

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4 Systems Thinking

Logical reasoning goes hand-in-hand with systems thinking, which is the ability to see both the separate components of a system and the system as a whole. One misconception is that focusing on individual parts in isolation is sufficient. However, you must understand how these parts interact within the larger system context. For instance, optimizing one part of a system can inadvertently cause issues elsewhere. Systems thinking helps you apply logical reasoning to not only optimize individual components but also ensure they contribute positively to the overall system's performance.

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Arjun Kumar

ADAS Function Owner | ADAS L1~L3 | SoftwareDefinedVehicle | ASPICE | Safety&Security
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Reasoning is crucial for systems thinking. Systems thinking helps realise the inter-dependencies amongst diverse entities of the entire system. Continuous logical reasoning enables to challenge the existing solutions thereby resulting in the improvement of system robustness.

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5 Bridging Gaps

Another misconception is that logical reasoning is only necessary at the beginning stages of Systems Engineering. In reality, it's a continuous process that spans the entire lifecycle of a system. From initial design to final implementation and beyond, logical reasoning helps bridge the gaps between different stages and ensures that decisions made early on don't lead to problems down the line. It's about anticipating potential issues and making adjustments that maintain the integrity and functionality of the system throughout its use.

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6 Evolving Logic

Lastly, it's important to debunk the notion that logical reasoning in Systems Engineering is static. As systems evolve and new technologies emerge, so too must the logic that governs them. What worked in the past may not be applicable in the present or future. You need to be willing to update your logical frameworks to accommodate new information, technologies, and methodologies. This evolutionary approach to logical reasoning ensures that systems remain relevant, efficient, and effective even as they adapt to changing circumstances.

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Muhammad Abbas Mehdi

Completed ??????+ ?????? & ?????? Projects as ANSYS Expert ?? || Empowering ???????????????????? & ?????????????????? Industries with ANSYS Simulations ??? || CV, Resume, Freelance & LinkedIn Consultant ?? || STEM ??
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Systems engineering thrives on adaptable logic. Just like the systems themselves, the reasoning behind them must evolve. New technologies and knowledge demand updated frameworks to ensure continued relevance and effectiveness. By embracing this ongoing process, systems engineers guarantee their creations stay efficient and fit for the ever-changing world. This approach ensures that systems remain relevant, efficient, and effective even as they adapt to changing circumstances.

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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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Khayyam Syed

Features System Engineer at Ford Motor Company
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As a starting point i would recommend to the concept with Model based object oriented entity based approach and paradigm and then branch deeper into more the layer below with more effort than the layer above. Risk-assessment should be a key focus in every layer

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Here's how you can debunk common misconceptions about logical reasoning in Systems Engineering.

1

2

3

4

5

6

7

1 Logical Basics

2 Common Myths

3 Logic in Practice

4 Systems Thinking

5 Bridging Gaps

6 Evolving Logic

7 Here’s what else to consider

Systems Engineering

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Here's how you can debunk common misconceptions about logical reasoning in Systems Engineering.

1

2

3

4

5

6

7

1 Logical Basics

2 Common Myths

3 Logic in Practice

4 Systems Thinking

5 Bridging Gaps

6 Evolving Logic

7 Here’s what else to consider

Systems Engineering

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