Establishing well-defined training objectives is the most fundamental and impactful step in ensuring the effectiveness of any training, including on-the-job training. Objectives provide:
* Clarity of Purpose: Clear objectives clearly define what the training should achieve, aligning both trainer and trainees towards specific outcomes (ASQ CMQ/OE Handbook, p. 152).
* Targeted Content: Objectives guide the selection of training content and methods, ensuring relevance to the desired outcomes (ASQ CMQ/OE Handbook, p. 152).
* Measurability: Well-defined objectives allow for post-training evaluation and assessment of whether the training successfully met its goals (ASQ CMQ/OE Handbook, p. 153).

Common cause variation is an essential concept in quality management. It refers to the inherent variability that exists in a process due to its normal operation. Common causes are part of the system and are not attributable to specific events or factors. They are the typical fluctuations that occur when a process is stable and in statistical control.
Examples of common cause variation include:
* Inherent Measurement Error: Measurement instruments inherently have some level of error or imprecision. This variation is common and expected.
* Equipment Variation: Even well-maintained equipment will exhibit some variability in its performance due to design tolerances, wear, and other factors.
* Process Variation: Processes naturally have variations in their output due to factors such as material properties, environmental conditions, and machine settings.
* Human Performance: Human operators, even when well-trained, introduce variability due to their inherent capabilities and limitations.
In contrast, special cause variation arises from specific events or factors that are not part of the normal process. These events lead to sudden and significant changes in the process output. Special causes are typically identifiable and can be traced back to specific events or conditions.
In summary, common cause variation is the background noise of a process, while special cause variation represents unexpected disturbances. Effective quality management involves understanding and managing both types of variation to improve processes and achieve better outcomes.
References:
ASQ Certified Manager of Quality/Organizational Excellence Handbook, Fourth Edition Understanding Variation ASQ Certified Manager of Quality/Organizational Excellence

When a quality manager implements a cross-functional process improvement team to reduce quality costs, the team should first identify the problem. Here's why:
* Problem Identification: Before implementing any changes or improvements, it's crucial to understand the root cause of the quality issue. Identifying the problem allows the team to focus their efforts effectively.
* Baseline Assessment: By identifying the problem, the team establishes a baseline for comparison. They can measure the current state, collect relevant data, and understand the impact of the issue on quality costs.
* Target Setting: Once the problem is clear, the team can set specific improvement targets. These targets guide subsequent activities, such as creating a method of reporting progress and measuring effectiveness.
While other activities (such as creating a reporting method, measuring effectiveness, and implementing a change management system) are essential, they should follow problem identification. Solving the right problem is critical to achieving meaningful quality improvements1.
References: 1: The ASQ Certified Manager of Quality/Organizational Excellence Handbook, Fifth Edition.
Sandra L. Furterer and Douglas C. Wood. Published 2021. ISBN: 9781951058067. Item Number: H1569.
Link