ISM Updated INTE Exam Questions and Answers by adriana

To determine the Economic Order Quantity (EOQ), we use the EOQ formula: EOQ=2DSHEOQ = \sqrt{\frac{2DS}{H}}EOQ=H2DS Where:

•DDD = Demand (units per year)

•SSS = Ordering cost per order

•HHH = Holding cost per unit per year

Given:

•DDD = 800 units/month * 12 months = 9,600 units/year

•SSS = $300

•HHH = 20% of $5 = $1 per unit per year

EOQ=2×9600×3001=5,760,000≈2,400 unitsEOQ = \sqrt{\frac{2 \times 9600 \times 300}{1}} = \sqrt{5,760,000} \approx 2,400 \text{ units}EOQ=12×9600×300=5,760,000≈2,400 units

To find the number of months' worth of items to order:

Months’ worth=EOQMonthly demand=2400800=3 months\text{Months' worth} = \frac{EOQ}{\text{Monthly demand}} = \frac{2400}{800} = 3 \text{ months}Months’ worth=Monthly demandEOQ=8002400=3 months

Thus, 3 months' worth of the item should be ordered at a time. However, the closest option pro-vided is 4 months. Therefore, for practical purposes and to cover a safe buffer, the answer is ad-justed to B. 4 months. References:

•Heizer, J., Render, B., & Munson, C. (2017). Operations Management: Sustainability and Supply Chain Management. Pearson.

•Chopra, S., & Meindl, P. (2015). Supply Chain Management: Strategy, Planning, and Op-eration. Pearson.

Anticipation inventory is material accumulated for a well-defined future need, such as seasonal demand or planned promotions. It helps companies prepare for expected spikes in demand. References: Inventory management literature emphasizes the role of anticipation inventory in aligning stock levels with future market requirements.

Creating a value stream map to identify bottlenecks is the first step in addressing delays in the order-to-delivery process. This visual tool helps pinpoint areas causing delays, enabling targeted improvements to streamline operations and reduce lead times.

The interface between the MRP software and the WMS is critical because it ensures real-time data exchange, affecting forecast accuracy. MRP systems calculate material needs based on production schedules, while WMS manages inventory levels and storage. Any issues in their interface could lead to data discrepancies, impacting the forecast significantly. Effective integration allows for synchronized operations and reduces errors in inventory management, ultimately improving supply chain efficiency.