L4M7 Exam Dumps : Whole Life Asset Management

Explanation

Economic order quantity (EOQ) model is the method that provides the company with an order quantity. This order quantity figure is where the record holding costs and ordering costs are mini-mized. By using this model, the companies can minimize the costs associated with the ordering and inventory holding. In 1913, Ford W. Harris developed this formula whereas R. H. Wilson is given credit for the application and in-depth analysis on this model.

If the economic order quantity model is applied, the following assumptions should be met:

- The rate of demand is constant, and total demand is known in advance.

- The ordering cost is constant.

- The unit price of inventory is constant, i.e., no discount is applied depending on order quantity.

- Delivery time is constant.

- Replacement of defective units is instantaneous.

- There is no safety stock level, i.e., the minimum stock level is zero.

- Restocking is made by the whole batch.

Because the demand and lead time are constant, no stockout events can occur.

Explanation

Possible solutions to the high irregular or seasonal demand problems are listed below:

• Take advantage of the height of the warehouse

- Mezzanine floor

- High racking system (increase storage capacity but require high-reach material handling equip-ment)

• Eliminate dead stock or inventory

• Improve material flow

• Improve storage location method

• Consider using aisle space during demand peak

• Narrow aisles between racks (require narrow handling equipment)

• Carousel-type storage system

• Auto-storage and retrievals system (ASRS)

Explanation

The most common subjective forecasting techniques include the following:

- Market surveys

- Employee surveys

- Expert knowledge (Delphi method is a method using expert knowledge)

- Test marketing

Cycle counting is a periodic analysis of inventory in a storage location which is conducted through the counting of samples instead of physically counting the entire inventory available, so as to quickly have an accurate estimate of the inventory available without causing a stop to the day to day working as is the case with physically counting every unit.

The Pareto principle (also known as the 80/20 rule, the law of the vital few, or the principle of fac-tor sparsity) states that, for many events, roughly 80% of the effects come from 20% of the causes.

Weighted moving averages assign a heavier weighting to more current data points since they are more relevant than data points in the distant past. The sum of the weighting should add up to 1 (or 100 percent).