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[ Production System Analysis ] ( help for number 2 , no chatgtp pls ) The demand for tomatoes fluctuates significantly in 2 0 2

[Production System Analysis](help for number 2, no chatgtp pls)The demand for tomatoes fluctuates significantly in 2024 as shown in Table 1 due to various factors such as seasonal changes, market trends, and unpredictable weather conditions. It is confirmed that the average demand per month (d) is 301 tons and the standard deviation (D)28 tons. Similarly, the lead time for receiving new tomato supplies from your suppliers is also subject to variability due to transportation issues, supplier availability, and other unforeseen circumstances.
Table 1 Forecasted Demand in 2024(tons)
\table[[Jan,Feb,Mar,Apr,May,Jun,Jul,Aug,Sep,Oct,Nov,Dec],[290,310,320,290,250,290,315,300,335,270,350,300]]
Table 2. Parameters for Inventory Problem
\table[[Parameters,Value],[Average lead time for receiving new tomato supplies (LT)(months),2],[Standard deviation of lead time: (LT)(month),1],[Ordering cost per order (S)(dollars),2500],[Holding cost percentage (I)(%)(per unit per month),40],[Price per unit (C)(do
No.
2. Materials Requirement Planning
Use the average lead time, ordering cost, holding cost as provided previously for this problem. Assuming on-hand inventory is equal to EOQ value found in Problem 1(b) by the end of December 2023.
Duplicate Table 3 to your Answer Sheet, fill the blanks and calculate the total inventory cost (holding cost + setup cost) based on:
a. Economic Order Quantity found in Problem 1(b).
b. Silver-Meal Heuristic
c. Least Unit Cost
d. Part Period Balancing
Table 3. MRP Table
\table[[,2023,2024,,],[,Nov,Dec,Jan,Feb,Mar,Apr,May,Jun,Jul,Aug,Sep,Oct,Nov,Dec],[\table[[Gross],[Requirements]],,,290,310,320,290,250,290,315,300,335,270,350,300],[\table[[On-hand],[Inventory]],,,,,,,,,,,,,,],[\table[[Net],[Requirements]],,,,,,,,,,,,,,],[\table[[Planned],[Order Receipt]],,,,,,,,,,,,,,],[\table[[Planned],[Order],
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