Explanation

Decisions regarding stores and warehouse locations involve a complex range of issues that are unique to each business. Most storage facilities and location decisions are based on a combination of qualitative and quantitative analysis.

Qualitative analysis uses subjective judgment to analyze a situation based on non-quantifiable in-formation, such as potential markets for new products, forecast on possible risks that may happen, etc.

Quantitative analysis (QA) is a technique that uses mathematical and statistical modeling, meas-urement, and research to understand behavior. Quantitative analysts represent a given reality in terms of a numerical value. This may include the following:

- Cost analysis for the current premises and future predictions based on current premises

- Cost analysis for routine operations

- Current inventory performance measures: lead times, service levels, rate of stock turn, stock-outs in a given period and stock cover

To get a big picture of current situation and future demands, organisation should combine both qualitative and quantitative methods so that useful information is achieved and well-informed decisions are made.

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).

Explanation

The safety stock (or buffer stock) is the stock level that limits stock shortages due to unforeseen events (forecasts not in line with demand, longer than expected supply time, etc…)

Demand variance is the degree to which the demand in a fixed period deviates from the average demand of the same period.

A reorder point is the unit quantity on hand that triggers the purchase of a predetermined amount of replenishment inventory.

The just-in-time (JIT) inventory system is a management strategy that aligns raw-material orders from suppliers directly with production schedules.

Key considerations in choosing a warehouse location include:

Local regulations : Compliance with bylaws and other local authority requirements.

Nature of items stored : Warehouses for perishable or hazardous items may have specific location requirements.

These factors ensure the warehouse is compliant and suitable for the type of inventory stored, optimizing safety and operational efficiency, both crucial in whole-life asset management.

Explanation

For JIT manufacturing to succeed, companies must have steady production, high-quality workmanship, glitch-free plant machinery, and reliable suppliers.

JIT production systems cut inventory costs because manufacturers do not have to pay storage costs. Manufacturers are also not left with unwanted inventory if an order is canceled or not fulfilled.

Barcoding allows DPI to label each item uniquely, making it scannable and easy to track. This method increases efficiency, accuracy, and traceability, key aspects of whole-life asset management that improve inventory control and reduce errors in item identification.

Explanation

ABC analysis is an approach for classifying inventory items based on the items’ consumption val-ues. Consumption value is the total value of an item consumed over a specified time period, for example a year. The approach is based on the Pareto principle to help manage what matters and is applied in this context:

- A items are goods where annual consumption value is the highest. Applying the Pareto principle (also referred to as the 80/20 rule where 80 percent of the output is determined by 20 percent of the input), they comprise a relatively small number of items but have a relatively high consumption value. So it’s logical that analysis and control of this class is relatively intense, since there is the greatest potential to reduce costs or losses.

- B items are interclass items. Their consumption values are lower than A items but higher than C items. A key point of having this interclass group is to watch items close to A item and C item classes that would alter their stock management policies if they drift closer to class A or class C. Stock management is itself a cost. So there needs to be a balance between controls to protect the asset class and the value at risk of loss, or the cost of analysis and the potential value returned by reducing class costs. So, the scope of this class and the inventory management policies are determined by the estimated cost-benefit of class cost reduction, and loss control systems and processes.

- C items have the lowest consumption value. This class has a relatively high proportion of the total number of lines but with relatively low consumption values. Logically, it’s not usually cost-effective to deploy tight inventory controls, as the value at risk of significant loss is relatively low and the cost of analysis would typically yield relatively low returns.

LO 2, AC 2.1

Explanation

Direct and indirect costs of holding inventory include the following:

- Acquisition costs: preparing the requisition, supplier selection and approvals, time and costs of the procurement process, etc.

- Holding costs

- Costs of stockouts

LO 2, AC 2.2