- 1 - EMBA 533: Operations Management Mock Exam Be sure to show all the relevant work (e.g. by including spreadsheet screenshots) to get full credits! Good...

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Answer To: - 1 - EMBA 533: Operations Management Mock Exam Be sure to show all...

Banasree answered on Mar 16 2023
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Part I:
2.1)Ans.
Location pooling is a strategy in operations management that involves the consolidation of inventory in a centralized location, which serves multiple facilities or stores. Under this approach, instead of holding inventory at each location, a single pool of inventory is maintained in a centralized warehouse, and it is allocated as needed to the individual locations. The benefits of location pooling strategy are numerous, including improved inventory management, reduced transportation costs, and increased supply chain efficiency.
1. location pooling strategy helps to optimize inventory levels by allowing the firm to maintain a more accurate and up-to-date inventory count, reducing the risk
of overstocking or understocking. Centralized inventory management also enables the company to better allocate resources and optimize inventory storage space, reducing the need for additional warehouses and distribution centers.
2. location pooling can reduce transportation costs as it eliminates the need for multiple shipments to different locations, instead, it allows the shipment of larger quantities of inventory to a central location and then distributes it to the individual locations as needed. This results in lower transportation costs and improved delivery times.
3. location pooling can also improve supply chain efficiency by allowing better coordination of the entire supply chain network, leading to better communication, planning, and control of inventory.
4. the location pooling strategy is an effective approach to improving inventory management and other aspects of supply chain management, allowing firms to reduce costs, optimize inventory levels, and improve supply chain efficiency.
2.2)Ans.
When an online order is received, there are operational pros and cons to filling it from an e-commerce warehouse or filling it from a retailer store using the Buy Online – Delivered from Store approach.
a) Filling from an e-commerce warehouse provides benefits such as having a dedicated inventory for online orders, better control over inventory levels, and a centralized location that can fulfill orders quickly. However, it may have cons such as higher transportation costs for longer distances and the potential for a longer delivery time for customers located farther away from the warehouse.
b) filling from a retailer store using the Buy Online – Delivered from Store approach has its benefits such as shorter delivery times for customers who are located closer to the store, and lower transportation costs as the delivery distance is shorter. Additionally, using stores as fulfillment centers can also help retailers optimize inventory and reduce inventory carrying costs. However, it can also result in stock-outs at the store level and additional labor costs to pick, pack, and ship orders from the store.
When filling an online order from a retail store, several factors should be considered to decide which store to use as a fulfillment center. Factors that can be considered include the store's location relative to the customer, the store's inventory levels, and the store's ability to fulfill the order quickly and accurately. For instance, the store chosen should be the one that is closest to the customer, has the required inventory in stock, and has the capacity to fulfill the order within the expected delivery time.
In summary, both filling an order from an e-commerce warehouse or a retailer store using the Buy Online – Delivered from Store approach have their pros and cons. The decision on which option to use depends on various factors such as the customer's location, inventory levels, transportation costs, and the delivery time required.
2.3)Ans.
The sortation centers that Target is investing $100 million in can address some of the "Cons" of "deliver from store" approach, such as the potential for stock-outs at the store level and the additional labor costs to pick, pack, and ship orders from the store. By consolidating and processing shipments from its retail stores to customer homes through sortation centers, Target can reduce the likelihood of stock-outs at individual stores and streamline the picking, packing, and shipping process. In addition, the sortation centers can help Target optimize inventory and reduce inventory carrying costs. By having a centralized location to sort, batch, and route orders, Target can better manage its inventory levels and reduce the need to hold excess inventory at individual stores.
To use these sortation centers most effectively, Target should consider several factors.
1. Target should determine the optimal location for the sortation centers to ensure that they are strategically located to minimize transportation costs and reduce delivery times.
2. Target should develop efficient processes and systems to ensure that orders are processed quickly and accurately.
3. Target should integrate its technology and data analytics capabilities to track inventory levels, order volumes, and delivery performance, which can help Target make better decisions about which stores to use as fulfillment centers and optimize the overall supply chain.
In summary, the sortation centers that Target is investing in can help address some of the "Cons" of "deliver from store" approach and provide additional benefits such as inventory optimization and reduced carrying costs. To maximize the benefits of these sortation centers, Target should consider factors such as location, efficient processes, and technology integration.
Part II
3.1)Ans.
To calculate the expected cost per hour associated with the 10-minute guarantee, need to determine the probability that a customer will have to wait more than 10 minutes and the expected value of the credit given to customers who have to wait.
For period 1:
The arrival rate is 5 customers per hour, and the average service time is 30 minutes, which is equivalent to 2 customers per hour.
Thus, the effective arrival rate =5 - 2 = 3 customers / hour.
The probability that a customer has to wait more than 10 minutes is equal to the probability that there are more than 3 customers in the system (i.e., being serviced or waiting). Using Little's Law, the expected number of customers in the system is equal to the arrival rate multiplied by the average time spent in the system.
The average time spent in the system is equal to the average service time plus the average waiting time, which is 30 minutes + (1/3) hour = 5/3 hours. Therefore, the expected number of customers in the system is (3 customers per hour) * (5/3 hours) = 5 customers. The probability that there are more than 3 customers in the system is given by the Poisson distribution as:
P(X > 3) = 1 - P(X <= 3) = 1 - e^(-3)*(1 + 3/1 + 9/2 + 27/6) = 0.3528
The expected value of the credit given to customers who have to wait is $40, and the expected number of customers who have to wait more than 10 minutes is 5 * 0.3528 = 1.764. Therefore, the expected cost per hour associated with the 10-minute guarantee in period 1 is:
Expected cost = $40 * 1.764 = $70.56
For period 2:
The arrival rate is 6 customers per hour, and the...
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