Final answer:
To find the optimal order quantity, the Economic Order Quantity model can be used for separate sourcing, aggregated sourcing, and a tailored ordering policy for Elliott Inc. Each scenario will have different implications for ordering and holding costs due to the variation in ordering frequencies and the number of trucks required.
Step-by-step explanation:
The question asks for the optimal order quantity (OOQ) and the associated annual transportation and holding costs for Elliott Inc., a manufacturer of fancy spectacles. First, it's necessary to calculate the OOQ for each product when sourced separately, then when aggregated, and finally to suggest a tailored ordering policy. The Economic Order Quantity model (EOQ) can be used for such calculations:
Separate Sourcing EOQ:
Using the EOQ formula \(EOQ = \sqrt{(2DS/H)}\), where \(D\) is demand, \(S\) is the ordering cost, and \(H\) is the holding cost, we can calculate the OOQ for each product. For the commonly sold spectacles:
- Demand (D) = 15000 units/year
- Ordering Cost (S) = £800 per truck
- Holding Cost (H) = 20% of the cost of one unit per year ($3 * 20% = $0.60)
Plug these values into the EOQ formula to find the OOQ for the other spectacles respectively. Next, calculate the annual transportation and holding costs.
Aggregated Sourcing EOQ:
When aggregating shipments, the ordering cost diminishes since all products are on a single truck. The EOQ will change due to the adjusted ordering cost, which now includes the additional £200 for each stop but reduces the number of trucks.
Tailored Ordering Policy EOQ:
This requires calculating a policy that minimizes costs for all products together, likely necessitating a combination of both separate and aggregated shipping strategies. After determining OOQ for the best ordering policy, calculate the new annual transportation and holding costs.
Keep in mind, EOQ assumes constant demand and steady ordering costs which may not reflect real-world dynamics, but it offers a simplified model for inventory management planning.