Learnings from Capsim Simulation

Reliable products for low technology customers: Our brands offer value. Our stakeholders are bondholders, stockholders, customers and management.

First Little Caesars have to set goal settings. First it has to be specific, when the goal is specific it is measurable, unambiguous, and behavioral. When the specific goal is determined, it reduce misunderstanding about what behaviors will be rewarded. Second approach is having consistent goals. When there are too many different goals employees sense that they are logically impossible to accomplish. That is why they get stock and underperformance. Next we have appropriately challenging , which means that goals have to have some challenges in it so in some ways it could be challenging to perform. This kind of goals are much easier to achieve than the goals that are very durable. Lastly we have feedback. We as a team

Therefore, there is a number of things that could have been done I do not see a right or wrong answer for the course of action that could have been taken. Cooper (2009) states that” Use whatever methods or techniques are necessary to move beyond either-or thinking, because until at least the most significant alternatives are acknowledged, you risk overlooking the best solution”.

• Inventory decisions made in this environment were not consistent with consumer demand, and DSG was ultimately left with a considerable level of obsolete and inactive stock, requiring a major writedown.

The two communication barriers that I experienced during the simulation were a lack of attention and destruction. After introducing myself to the patient, I tried to ask the reason why the patient came to Montgomery college hospital (MC), but there were no answers to my questions. I immediately noticed that the patient was hearing voices, which was telling him to open the door and to answer the telephone. It was very difficult for me to assess the patient. I even told the patient that we can open the door later, for now just follow my instruction. Even though I redirected the patient, it was hard for me to help this patient.

This course is a great experience for me. I had learn a lot in this course, Capsim the simulator really do help me to learn about the basic how an organization operate, the main function of R&D, marketing, production, TQM and HR, how will of of this function affect each others, consequence of no paying attention in certain segment will lead what issue to arise and how to allocate cash in the organization wisely in order to remain competitive. All of this knowledge could have learned through Capsim. I will have idea on what issue causing which and it could help to have better understanding of the organization operating styles in the current environment and cause us to make less mistake when we go out to work. Although there a lot to learn about

This is an interesting article that brings up a very interesting point about decision analysis that we had previously discussed. In my opinion, decision making is easy when we are backed with historical and hard data and facts and science. However, decisions turns into a controversy when emotions are added into the mix, especially when the decision is not to our favor, if the decision clashes with our beliefs and culture or even to what we think is logical.

After about a month during which they make other changes like flagging of bottleneck parts, forming dedicated crews for heat treatment and the NCX-10, outsourcing some heat treatment jobs to outside vendors and making engineering changes to some parts, Alex and his team manage to ship a record number of customer orders. However they then perceive a new problem in which their bottlenecks have spread. Jonah steps in again at this point and shows them their erroneous policy of continuously releasing material just to keep the non-bottleneck machines busy all the time. This policy has caused an explosion of the work-in-process. To correct this situation, they work out how much of new material to release so that there is only about a few days of inventory in front of the bottlenecks even though this means that non-bottleneck machines would remain idle at times. Jonah assures them that this is perfectly acceptable and makes sense because ultimately only the bottleneck machine would define their plant throughput.

The goals and KPIs are bold and admirable, but they are not relatable to the process that will ultimately determine their outcome. The system will produce what it produces; you can’t get more out of a system than it is capable of making. Without

D.A.R.E. has taught me many different things and one of them is D2 M2, which stands for the D.A.R.E. decision-making model. This process can help solve almost any kind of problem. I think that if everyone used this process we could all stop bullying across America.

Looking back at our errors, there were several changes that our management team could have made to avoid or correct the excess of supply issue. We could have continued to produce in earlier period and hold the product until it was needed. There may have been a cost to hold inventory but that would have been a small percentage compared to the sales lost and the gain of sales our competitor received. Also, instead of selling off capacity, we should have taken advantage of the private label to off-load some of the overstock in that segment. Another alternative would have been to make some strategic inventory clearance decisions where we could get rid of excess models/styles from the prior years instead of selling off

A Monte Carlo simulation typically provides one with an overwhelmingly high amount of simulations, whereas a change of all the variables occurs on a random basis. However, only the average of these is of importance. The input incorporates the correlations of all the variables included. The output is then

were left over from last year, thus we stocked out. We lost critical sales to the other companies within our

Large, unused stockpiles of components and inputs used in production can have a major impact on

It is relevant because it improves the current hard, soft and context variables that are affecting them. This goal is not time bound since the case study does not offer a specific date for its completion.