Key Performance Indicators Selection through an Analytic Network Process Model for Tooling and Die Industry

In the last few decades, fast technological development has caused high competitiveness among companies, encouraging a pursuit for strategies that allow them to gain competitive advantage, such as monitoring of performance by using key indicators (KPIs). However, its selection process is complex since there are several KPIs available evaluate and different relationships between them. To overcome this challenge, use multiple criteria decision-making model (MCDM) was proposed, namely analytic network (ANP) through which reduced number prioritized. identify suitable press cast die manufacturing industry, literature review made, 58 unique were identified. Thus, validate proposed methodology, case study carried out in an automotive molding industry. With implementation ANP it possible 9 ensure correct monitoring, while being aligned with Balanced Scorecard criteria. The results show selecting