Analysis Of The PDCA Process Improvement Model

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Register to read the introduction… According to USN (1996), a series of questions should be asked in checking the improvement implementation test results: Did the improvement or change in the process eliminate the root cause of the problem? Is the derived data closer to the process improvement objective than the baseline data? This indicates how much or how little the process has improved. Were the expected results achieved? If not, the data should be analyzed further to find out why the process performance improved less than expected, or even became worse (Johnson, 2016). Were there any problems with the plan? The benefit of a check is that a thorough review of the planned opportunity improvement, as well as the execution of the data collection effort, is conducted to determine the benefits of moving to the next step (Tague, …show more content…
The PDCA provides a useful and simple but effective approach for problem solving and managing change, ensuring that ideas are appropriately tested before committing to full implementation. The simplicity of the PDCA is what makes implementation as a continuous improvement process even more attractive. According to Sokovic, Pavletic and Pipan (2010), repeated application of the PDCA process improvement model, extended over time and embedding of the process into an organization’s culture via policy, standards, etc. , makes PDCA a continuous improvement process not just a model (See Figure 1). Therefore, the repeated use of the PDCA process improvement model constitutes a continuious improvement process framework for …show more content…
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Figure 1. PDCA Cycle as a Continuous Improvement

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