Neuroevolution of augmenting topologies: Second Edition by Blokdyk Gerardus

Author:Blokdyk, Gerardus [Blokdyk, Gerardus]
Language: eng
Format: epub
Publisher: Emereo Publishing
Published: 2018-05-02T16:00:00+00:00

CRITERION #5: IMPROVE:

INTENT: Develop a practical solution. Innovate, establish and test the solution and to measure the results.

In my belief, the answer to this question is clearly defined:

5 Strongly Agree

4 Agree

3 Neutral

2 Disagree

1 Strongly Disagree

1. Who are the people involved in developing and implementing Neuroevolution of augmenting topologies?

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2. Where do you want to be a first mover, a fast follower or wait for industry solutions?

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3. Were any criteria developed to assist the team in testing and evaluating potential solutions?

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4. Is there a high likelihood that any recommendations will achieve their intended results?

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5. What error proofing will be done to address some of the discrepancies observed in the ‘as is’ process?

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6. Is a solution implementation plan established, including schedule/work breakdown structure, resources, risk management plan, cost/budget, and control plan?

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7. To what extent does management recognize Neuroevolution of augmenting topologies as a tool to increase the results?

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8. What is Neuroevolution of augmenting topologies’s impact on utilizing the best solution(s)?

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9. Are possible solutions generated and tested?

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10. Is pilot data collected and analyzed?

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11. Are we Assessing Neuroevolution of augmenting topologies and Risk?

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12. What went well, what should change, what can improve?

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13. What is the implementation plan?

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14. How did the team generate the list of possible solutions?

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15. How do you improve your likelihood of success ?

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16. Can the solution be designed and implemented within an acceptable time period?

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17. Why improve in the first place?

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18. Are improved process (‘should be’) maps modified based on pilot data and analysis?

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19. What resources are required for the improvement effort?

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20. Was a pilot designed for the proposed solution(s)?

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21. Who will be responsible for making the decisions to include or exclude requested changes once Neuroevolution of augmenting topologies is underway?

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22. Are there any constraints (technical, political, cultural, or otherwise) that would inhibit certain solutions?

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23. How do you manage and improve your Neuroevolution of augmenting topologies work systems to deliver customer value and achieve organizational success and sustainability?

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24. What is the risk?

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25. How do we Improve Neuroevolution of augmenting topologies service perception, and satisfaction?

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26. What tools were used to tap into the creativity and encourage ‘outside the box’ thinking?

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27. How do the Neuroevolution of augmenting topologies results compare with the performance of your competitors and other organizations with similar offerings?

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28. How do you improve workforce health, safety, and security? What are your performance measures and improvement goals for each of these workforce needs and what are any significant differences in these factors and performance measures or targets for different workplace environments?

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29. Is a contingency plan established?

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30. How do we keep improving Neuroevolution of augmenting topologies?

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31. Is the implementation plan designed?

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32. What tools do you use once you have decided on a Neuroevolution of augmenting topologies strategy and more importantly how do you choose?

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33. Describe the design of the pilot and what tests were conducted, if any?

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34. Is Supporting Neuroevolution of augmenting topologies documentation required?

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35.

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