APICS CPIM-Part-2 Exam With Confidence Using Practice Dumps

ABC classification is an inventory categorization technique that divides items into three classes based on their usage value, which is the product of the number of units sold and the cost per unit. Class A items have the highest usage value and account for a large proportion of the total inventory value, but a small percentage of the number of items. Class B items have a moderate usage value and account for a moderate proportion of the total inventory value and the number of items. Class C items have the lowest usage value and account for a small proportion of the total inventory value, but a large percentage of the number of items1.

An advantage of applying ABC classification to a firm’s replenishment items is that it allows planners to focus on critical products. Replenishment items are items that are regularly ordered or produced to maintain a certain level of inventory. By using ABC classification, planners can prioritize the replenishment of class A items, which have the highest impact on the firm’s profitability and customer satisfaction. Planners can also apply different inventory management techniques and policies for each class of items, such as more frequent reviews, tighter controls, lower safety stocks, and higher service levels for class A items, and less frequent reviews, simpler controls, higher safetystocks, and lower service levels for class C items234. This way, ABC classification can help planners optimize the replenishment process and reduce costs, waste, and stockouts.

The other options are not advantages of applying ABC classification to a firm’s replenishment items, because they are either irrelevant or incorrect. ABC classification does not distinguish independent demand from dependent demand, which are two types of demand that depend on whether the item is sold to customers or used as a component in another item5. ABC classification does not provide better order quantities than the economic order quantity (EOQ), which is a formula that calculates the optimal order quantity that minimizes the total inventory costs6. ABC classification does not allow the firm to utilize time-phased order point (TPOP), which is a method that determines when to place an order based on the projected inventory position and the lead time7.

Process improvement is a method of analyzing and enhancing the production methods and techniques to increase productivity and performance. Process improvement aims to reduce costs, waste, defects, and errors, as well as to improve quality, efficiency, and customer satisfaction. When considering process improvement, the first approach that should be considered is making better use of existing resources. This means that the production system should optimize the utilization and allocation of the available resources, such as materials, labor, machines, and space. This can be achieved by implementing various techniques, such as lean manufacturing, six sigma, kaizen, or 5S. Making better use of existing resources can help to improve the process without requiring additional investment or expenditure.

The other options are not the first approaches that should be considered as part of process improvement. Hiring more skilled people to perform the job is not the first approach, as it may increase the labor cost and require more training and supervision. Hiring more skilled people may not necessarily improve the process if the existing methods and techniques are inefficient or ineffective. Buying better and faster equipment is not the first approach, as it may involve a large capital outlay and a long payback period. Buying better and faster equipment may not necessarily improve the process if the existing resources are underutilized or misallocated. Applying stricter quality control is not the first approach, as it may increase the inspection and testing cost and time. Applying stricter quality control may not necessarily improve the process if the existing methods and techniques are prone to errors or defects. References: CPIM Exam Content Manual Version 7.0,Domain 8: Manage Quality, Continuous Improvement, and Technology, Section 8.2: Continuous Improvement Concepts, p. 46; Process Improvement; Process Improvement Definition.

Load variability is the fluctuation in electricity demand over time. It is influenced by factors such as weather conditions, time of day, day of the week, and various external events. The higher the load variability, the more challenging it becomes to accurately predict demand and plan capacity1.

A technique to manage load variability would be to plan additional safety capacity as a part of total available capacity to meet unplanned demand. Safety capacity is the act of consistently planning your production below capacity. The reason for this is so the company can become more flexible and responsive to the changing needs of the customer2. For example, if your company was operating at full capacity and your best customer needed extra product, you would be unable to meet their request. By allowing for safety capacity, your company can become more flexible and more responsive.

The other options are not techniques to manage load variability, because they are either irrelevant or ineffective. Applying capacity planning using overall factors (CPOF) to identify priority items at the work center is a simple approach to capacity planning that applies historical ratios. These ratios are based on the master production schedule along with established production standards3. However, this method does not account for load variability or unexpected changes in demand or supply. Designing the shop floor with machines that sit idle until additional demand requires their use is a wasteful and costly way of managing load variability. It does not optimize the utilization of resources or minimize the inventory costs4. Using capacity bills to provide a rough-cut method of planning total-time-per-unit value is a procedure based on the manufacturing production schedule (MPS). It indicates the total standard time required to produce one end product in each work center required in its manufacture5. However, this method does not address the fluctuations in demand or supply that may occur due to load variability.