(Universidade Federal do Pará, 2011) ALENCAR, David Barbosa de; LIMÃO, Roberto Célio
The use of Statistical Process Control (SPC) is crucial in the production process, requiring continuous improvement. However, there is resistance to adopting new methodologies. The use of computational tools in SPC has become an essential trend. This dissertation aims to guide companies and institutions in adopting such tools, presenting an algorithm to optimize SPC application. Statistical techniques are employed to validate process security, demonstrating that SPC is a management tool that enables measuring product and service quality, comparing them to desired standards, and implementing corrective actions. The proposed approach is illustrated through a case study in the two-wheel industrial sector.
