Production Lot Size - Optimization long and difficult

In summary, Non-Slip Tile Company has been using production runs of 100,000 tiles, 10 times per year, with a set-up cost of $5,000 per run and an annual holding cost estimated at 10% of the manufacturing cost of $1 per tile to meet the annual demand of 100,000 tiles. The production capacity is 500,000 tiles per month and the factory is open 365 days per year. The average amount of inventory during each cycle is 1/2 of the annual production rate, which equals $300,000. The total cost includes the cost to produce, setup, and holding cost, and the optimal production quantity that minimizes total cost is labeled as Q. The total
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Homework Statement


Non-Slip Tile Company has been using production runs of 100,000 tiles, 10 times per year, to meet the demand of 100,000 tiles annually. The set-up cost is $5,000 per run and (annual) holding cost is estimated at 10% of manufacturing cost of $1 per tile. Production capacity of the machine is 500,000 tiles per month. Factory is open 365 days per year.

D = 1,000,000...Demand
r = 6,000,000...annual production rate
Q = 100,000...production lot quantity
C0= $5,000...setup cost per cycle
Ch= $0.10...inventory holding cost per unit per time period
p = $1...production cost

1. During each cycle, what is the average amount of inventory? Should be in terms of parameters D,r,C0,Ch,p,Q (not necessarily all of them).
Find the holding cost over the entire year.
2. Sum up the 3 parts of total cost. Find the value of Q(in terms of D,r,c0,ch,p) that minimizes total cost.
3. Figure out how much to produce in each cycle(answer won't be an integer). What is total optimal cost? How does this cost compare with their current implementation?
4. For each integer within 6 of Q(Q-6 Q+6) find the total cost and plot this function. What do you see? Can we do the same thing we did with the EOQ?
5. Now find the optimal production quantity for the following problem. Be sure to label each parameter you use.



Homework Equations





The Attempt at a Solution



1. I think 1/2(r/10)...1/2(6,000,000/10) = $300,000
2. Total cost = cost to produce + setup + holding cost
Not sure where to go after this
 
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  • #2
. 3. Not sure how to do this one either. 4. Not sure how to answer this one as well. 5. D = 1,000,000...Demandr = 6,000,000...annual production rateC0= $5,000...setup cost per cycleCh= $0.10...inventory holding cost per unit per time periodp = $1...production costQ = Optimal Production Quantity that minimizes total cost
 

1. What is production lot size optimization?

Production lot size optimization is a process that involves determining the most efficient and cost-effective quantity of a product to be produced in a single batch. This involves balancing the costs of production, inventory holding, and customer demand to determine the optimal lot size.

2. Why is production lot size optimization important?

Production lot size optimization is important because it can significantly impact a company's profitability and competitiveness. By determining the optimal lot size, companies can minimize production costs, reduce inventory holding costs, and meet customer demand effectively.

3. What factors are considered in production lot size optimization?

Several factors are considered in production lot size optimization, including production costs, inventory holding costs, customer demand, and production capacity. Other factors such as lead times, supplier constraints, and transportation costs may also be taken into account.

4. What challenges are involved in production lot size optimization?

Production lot size optimization can be a complex and challenging process due to the various factors and trade-offs involved. It requires a deep understanding of the production process, inventory management, and demand forecasting. Additionally, it may require the use of advanced mathematical and statistical models.

5. How can a company optimize production lot size?

There are several methods that companies can use to optimize production lot size, including mathematical models such as the Economic Order Quantity (EOQ) model and the Production Order Quantity (POQ) model. Other approaches include Just-in-Time (JIT) production, demand-driven production planning, and continuous improvement initiatives. Ultimately, the optimal method will depend on the specific needs and constraints of the company.

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