An assignable cause of variation is a source of variation that is intermittent, not predictable, and identifiable. It is also called a special cause of variation. An assignable cause of variation affects the process performance in an unexpected and non-random way, and it can be eliminated or controlled by finding and correcting the specific cause1. An example of an assignable cause of variation in process performance is incorrect setup of a machine by the operator. This means that the operator did not follow the standard procedure or specification for setting up the machine, which may result in defective or nonconforming products or materials. This cause of variation can be identified and corrected by checking the setup instructions, training the operator, or implementing a setup verification system23. References: 1 Assignable Cause - isixsigma.com 4 2 Process Capability Analysis - an overview | ScienceDirect Topics 5 3 CPIM Exam References - Association for Supply Chain Management 1

Moving average forecasting methods are best when demand shows high random variation, as they help to smooth out the noise and capture the underlying level of demand. Moving average methods use the average of the most recent observations as the forecast for the next period. They assign equal weights to all observations in the average, and drop the oldest observation when a new one becomes available. Moving average methods are not suitable for demand patterns that show a clear trend, consistent seasonality, or a cyclical pattern, as they cannot capture these components of demand. For these patterns, more sophisticated methods such as exponential smoothing or regression are needed. References: Forecasting with moving averages, APICS CPIM 8 Planning and Inventory Management | ASCM

Rough-cut capacity planning (RCCP) is a technique that evaluates the feasibility of a master production schedule (MPS) by comparing the available capacity of key resources with the required capacity of the MPS.
In a job shop environment, where products are made to order and have high variety and low volume, RCCP would typically review only the critical work centers to determine the ability to execute the plan. Critical work centers are those that have the greatest impact on the throughput, lead time, or cost of the products. They are usually the work centers that have the highest utilization, longest setup times, or most frequent bottlenecks. By focusing on the critical work centers, RCCP can simplify the capacity planning process and identify the potential problems or constraints that may affect the MPS. The other options, gateway work centers, final assembly work centers, and all work centers, are not as effective as critical work centers for RCCP in a job shop environment, as they may not reflect the true capacity requirements or constraints of the products. References:
* Rough Cut Capacity Planning (RCCP) - Definition, Example, and Benefits
* Rough Cut Capacity Planning (RCCP) - Meaning, Objectives, and Advantages
* Rough Cut Capacity Planning (RCCP) - Overview, Steps, and Example

Proximity to suppliers would be classified as a cost factor in preparing for a facility location decision. Cost factors are the expenses associated with operating a facility in a specific location, such as labor, materials, utilities, taxes, and transportation. Proximity to suppliers can affect the cost of inbound transportation, inventory holding, and quality control. Choosing a location that is close to suppliers can reduce these costs and improve the efficiency and reliability of the supply chain. References:
* Managing Supply Chain Operations, Chapter 2: Global Supply Chain Strategy, Section 2.3: Facility Location
* CPIM Exam Content Manual, Module 1: Supply Chains and Strategy, Section 1.4: Facility Location, Subsection 1.4.1: Facility Location Concepts