Introduction
Regardless of the chosen business strategy, product quality is one of the most critical indicators in the manufacturing process. The quality of a product is what consumers pay attention to and what affects the company’s reputation. However, various problems may arise in this area, whose causes may not always be straightforward.
While some reasons may lie on the surface, others remain invisible and require careful analysis to identify them. Setting up an issue, developing a strategy for addressing it, and implementing a plan to eliminate it can take a long time, significantly affecting manufacturing performance. Therefore, today I will tell you about six tools that can simplify this process and minimize the company’s risks.
Most Used Tools
8D Problem-Solving
The eight disciplines (8D) method is one of the most common strategies managers use in various industries. This method is best suited for solving problems with “safety, regulatory, performance, waste and scrap, failures in tests, increase in failure rate than predicted, rejections on production line” (Phanden et al., 2022, p. 3267). This approach is based on eight key steps, with teamwork at the center.
In the first stage, a team is formed to solve the problem (Phanden et al., 2022). Team members must have sufficient qualifications and experience in the assigned field. After describing the problem, immediate actions are taken to stop the negative impact (Phanden et al., 2022). After minimizing the damage, the team moves on to identifying the root cause and developing and implementing strategies that will help solve the problem in the long term. In addition, the implemented solution must prevent the problem from recurring.
5 Whys Approach
The Five Whys technique involves repeating the question “why” five times to identify the root cause of a problem. This approach helps not only eliminate superficial quality issues but also identify serious operational irregularities that can negatively impact productivity (Shandilya et al., 2020). This method encourages critical thinking and promotes a deeper understanding of the problem.
However, for successful implementation, the 5 Whys must consider the work of the entire organization, not just individuals (Birt, 2023). For example, employees’ incompetence cannot be cited as the core reason for the issue. Still, it is essential to understand why they lack the skills necessary to perform the job correctly.
Fishbone Diagram
A fishbone diagram is a tool for visualizing problems across different areas of an organization. It identifies many contributing factors and classifies them into people, processes, equipment, materials, and environment (Sakdiyah et al., 2022). All these elements, to varying degrees, can influence the final quality of the product. For example, a lack of professional skills among employees, outdated equipment, and low-quality materials can compromise the quality of the goods produced.
PDCA Cycle
Plan-Do-Check-Act (PDCA) is a cyclical approach to problem-solving in which each new stage begins when the previous one is completed. The cycle begins with planning, which involves “defining problems and collecting all relevant data” and identifying subsequent actions to resolve the problem (Foulla, 2021, p. 254). Next, the developed intervention plan is implemented, and its results are verified. If the desired results are not achieved, the team returns to the planning stage (Foulla, 2021). However, even if interventions have had a positive impact on the problem, various strategies continue to be implemented to improve results continually.
A3 Methodology
The A3 method is another problem-solving approach that helps one structure available data. This technique helps to identify “the key and essential information about a given problem or set of problems, which must be perceptible in a short time and outlined on an A3 sheet” (Santos Filho & Simão, 2023, p. 148). With limited space to record information about a problem, A3 helps identify the most significant factors. This method combines data analysis, root cause identification, action planning, and follow-up to promote effective communication and collective action to address the issue.
4-Step Problem-Solving Model
The four-stage model is a simplified version of solving quality problems. It consists of defining the problem, identifying the root cause, implementing solutions, and verifying the results (Angel, 2022). This model eliminates additional processes and helps to concentrate solely on the current problem. It allows one to achieve visible changes quickly and use a minimum of resources.
However, to make identifying and addressing the issue more accessible, experts recommend asking for help (Angel, 2022). While other strategies rely heavily on teamwork, this model can be implemented individually. Nevertheless, the approach may require professional expertise from other specialists to be successful.
Conclusion
To summarize, quality problem-solving is extremely important in manufacturing because it affects a company’s productivity and consumer interest in its products. Therefore, emerging issues require quick solutions that could effectively eliminate them with minimal losses for the organization. To achieve this, various tools can be used to expedite problem identification and decision-making. Moreover, often providing an immediate solution, the described methods help achieve long-term effects and improve the quality of manufactured goods and production operations.
References
Angel, A. (2022). The four steps of problem-solving, plus one. LinkedIn.
Birt, J. (2023). 5 whys technique: Root cause analysis. Indeed.
Foulla, B. (2021). Quality problem solving with PDCA cycle. Management Research, 5(2), 249-268.
Phanden, R. K., Sheokand, A., Goyal, K. K., Gahlot, P., & Demir, H. I. (2022). 8Ds method of problem solving within automotive industry: Tools used and comparison with DMAIC. Materials Today: Proceedings, 65, 3266-3272.
Sakdiyah, S. H., Eltivia, N., & Afandi, A. (2022). Root cause analysis using Fishbone diagram: Company management decision making. Journal of Applied Business, Taxation and Economics Research, 1(6), 566-576.
Santos Filho, G. M., & Simão, L. E. (2023). A3 methodology: going beyond process improvement. Revista de Gestão, 30(2), 147-161.
Shandilya, S., Arora, J., Vinayak, K., Tiwari, S. P., & Gupta, B. (2020). A study on quality problem solving techniques used in manufacturing industries. Journal of Research in Business and Management, 8(11), 47-55.