Answer:
The answer is C: 14300
Note: The actual answer is 14296, <em>and </em>the closest to that was option C.
Explanation:
Formula to calculate forecast using Exponential smoothing:
Where,
= New Forecast
= Previous period's forecast.
= Smoothing Constant
= Previous period's Actual Demand.
- Calculating the forecast for period 5:
Data:
Putting <em>values in the formula:</em>




I have no clue but I do know I’ll get hella points if I just have a hug. As sentence in a few weeks I don’t think it would have been the bath and the other stuff but it is a little too hard for you but I rgotta uroor rthe for a few minutes to see what I was thinking of doing that but I’m not sure if it is ok with it but
Here's the completed question.
Question: The company would like to reduce the double and sometimes triple handling of items. How can this goal be achieved? Are there alternative solutions which might also be effective?
Answer:
1. Using the Just in Time Management inventory technique.
2. Using automated inventory processing systems, changing physical layout of warehouse.
Explanation:
1. The Just in time method would allow Hawkins Supply company to quickly process its inventory by adopting a principle of processing smaller batches with reduced factory space. Doing so would minimise the worries about expired inventory since the inventory isn't excessive.
2. There are automated softwares such as the KANBAN system that would automated the process, requiring lesser use receipts to track inventories. Another alternative is to restructure the warehouse by making provision for racks that could be numbered serially to easily find desired inventory.
<span>I would assume that customers arrive at the queue according to the poisson process, and then decide whether to enter the queue or leave as per the rules in the question.
for (a)
I interpret "enter the system" as "join the queue".
The expected time for this will be
E(time until there is a free slot) + E(time for someone to arrive once a slot is free).
Noting that the additional time taken for someone to arrive once a spot is free is independant of the time that the slot became free (memorylessness property of poisson process)
The waiting time of a Poisson(\lambda) is exp(\lambda) with mean \frac{1}{\lambda}
E(\text{Time someone enters the system})=\frac{1}{2\mu} + \frac{1}{\lambda}
Your post suggests you already understand where \frac{1}{2\mu} comes from.</span>
Answer: Vroom and Yetton's normative decision model.
Explanation:
The Vroom–Yetton normative decision model is a situational leadership theory of industrial and organizational psychology that was developed by Victor Vroom, in collaboration with Phillip Yetton and later with Arthur Jago. The situational theory argues the best style of leadership is contingent to the situation.
Regarding decision making, the Vroom-Yetton model suggests that being autocratic, seeking advice, considering alternative approaches before a decision is made, informing a group on an issue, and letting that group develop the solution without forcing your own ideas are all important at times.