Magic Formula For Success – Part 2

This article continues a brief exploration into how you can be more successful in your simulation projects. (Look here for part 1.)

Here is a second set of important issues that should be considered.

Agility – You can count on the fact that what you are modeling will change. If the system itself is not changing, the detailed project objectives will. Use a technique that allows you to stay agile enough to cope with the inevitable changes.

Solve Problems – Don’t see yourself as just a model-builder. See yourself as a problem-solver. Think outside the box. Recognize opportunities. Don’t simply provide a service, add value.

Software – Software selection is often difficult, particularly if budgets are tight. Domain-specific or generic? Easy to use or flexible? Established product or state-of-the art technology? Many factors must be considered.

Know Your Stakeholders – Who is funding the project? Put yourselves in their position and determine what their concerns are and what they would like and need to see from this project.

Credibility – While simulation provides a degree of objectivity, to many it is still a “black art”. At the end of the day if you don’t have personal credibility, all the backup data possible will not be able to sell your ideas.

Certainly this was a very brief treatment of only a few key factors to success. Future articles will discuss these and others in more detail.?

Dave Sturrock
VP Products – Simio LLC

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5 Responses to “Magic Formula For Success – Part 2”

  1. Srinidhi Jagannath says:

    Continuing with the approaches required for the success of a Simulation Project, it is better to model the project in such a way that it can incorporate changes if any,easily. It is not just providing a solution for the project, but also to coming up with something that makes the project more valuable to the customer. The software for the project must be chosen based on the many requirements specified which can be the cost associated or a particular way of building the model etc. It is also not just enough to come up with a solution that just works, but to come up with one that takes care of what the customer expects by looking through their eyes of what the project involves. Considering all of the above, a good solution can only be marketed if there exists some form of integrity from the developer’s end.

  2. Joseph Cyril Sharan Suresh says:

    This article briefly describes the need to adapt to changes in the future and also to come up with a technique that allows us to make changes without much hassle to the original model. It also asks us to go the extra mile by taking effort to make sure our job does not end when we submit the required model but to make sure that we know what was happening around us during the course of making the model. I totally agree with the fact that we should not just be a contracted model builder but should turn out to be a problem solver.

  3. Doug Roberts says:

    ? Part 2 of the magic formula for success stresses agility, which is vital for success in any field. Being able to take changes and adapt to them is a vital skill and demonstrates critical thinking. This leads us to the next issue of solving problems. This is a skill that is required in any technical field and is essentially the purpose of building a model. Your software is your tool in modeling, so ensuring you have the necessary software to solve the problem you were hired to do is vital. For example, you wouldn’t cut a board with a hammer, just as your software must fall in line with the objectives. Knowing your stakeholders is probably one of the most important concepts of any business owner or consultant. A customer driven business model is what ensures the continuation of your business. Credibility is another very important part to the success of a business. If you treat your customers right, you will gain credibility from your stakeholders.

  4. Zhaohui Geng says:

    The part 2 is more for the team members themselves. The agility is a good character for anyone in the team, stay agile and find out the problems or opportunities from the changes may take great success. Also, agility is also a consideration when design a robust process model.

    And don’t be afraid of the problems, the problems are not always bad news. Usually, in my thought, problems are opportunities, which help you to find out the weakness that were concealed, or even an opportunity to help find more better idea of the process.

    Always keep the stakeholders’ goals and profits in mind. Maybe they have more connections to the customers or the whole process, even the induces they are in than you are. So maybe the simulation designed by simulationists is much better and pure, but it may be away from the objectives and condition of the real world.

    What’s the most important character of the simulationists is the credibility. To get the good result without credibility make the simulation project useless, what’s worse, may give a quite wrong direction of the decision making. So without the credibility, the simulation project should never set up.

    The software nowadays are flexible enough for different usage. So choose the software for convenience is based on the project itself.

  5. Shruti Alang says:

    The article provides few more insights to the success of implementation of simulation projects. The project stakeholders should not have rigid approach for undertaking the project. For example, if one component of the system throws unusual behavior, the team members should tweak themselves according to the circumstances. The team should not approach the simulation project with building the model and just provide the service to their customers. They should be trained to brainstorm the problem, wear thinking hats to solve the problem and deliver “value-added” services. To undertake the simulation project, the selection of software is very critical step. The decision involves trade-offs of various factors such as whether the software should be generic or domain specific, user friendly and easy to use or high skill sets are required to run the software, budget constraints, to name a few. It is necessary to know who are the stakeholders and should understand their viewpoints about the project. The credibility of the team is of utmost important for the client. The client provides data to the team with trust and it is the duty of the organization to gain their credibility by maintaining confidentiality of the data.

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