Process optimization of precision hole grinding using DMAIC methodology in mechanical manufacturing

This study examines the selection and implementation of an enterprise resource planning (ERP) system to improve the precision hole-grinding process in a small and medium-sized mechanical manufacturing enterprise. By integrating the DMAIC methodology with the PF-MEREC-MARCOS multi-criteria decision-making approach, the study develops a structured framework for identifying operational problems, evaluating ERP alternatives, and supporting technology selection under resource constraints. Empirical results from the case study show that ERP implementation reduced human-dependent operations, improved information transparency, supported more accurate machine-setting decisions, and contributed to reducing process errors and repair activities. The findings indicate that ERP adoption in manufacturing SMEs should be understood not only as a technical improvement but also as a managerial decision that supports process standardization and data-driven control. This study contributes to engineering and technology management by demonstrating how DMAIC and multi-criteria decision-support tools can be used to guide ERP selection and implementation in resource-constrained manufacturing SMEs.