Abstract
In the last few decades, the fast technological development has caused high competitiveness among companies, encouraging a pursuit for strategies that allow them to gain competitive advantage, such as the monitoring of performance by using key performance indicators (KPIs). However, its selection process is complex since there are several KPIs available to evaluate performance and different relationships between them. To overcome this challenge, the use of a multiple criteria decision-making model (MCDM) was proposed, namely the analytic network process (ANP) through which a reduced number of them are prioritized. To identify which KPIs are suitable for the press cast and die manufacturing industry, a literature review was made, and 58 unique KPIs were identified. Thus, to validate the proposed methodology, a case study was carried out in an automotive press molding industry. With the implementation of the proposed ANP model it was possible to identify 9 KPIs that ensure the correct molding process monitoring, while being aligned with the Balanced Scorecard criteria. The results show that the proposed model is suitable for selecting KPIs for the molding industry.
Highlights
The automotive industry has always been a significant contributor to the global economy since it represents one of the largest manufacturing industries [1]
After the analytic network process (ANP) model was applied, the obtained results were validated with decisionmakers
Analyzing the 9 key performance indicators (KPIs) chosen by the decision-maker, 6 do belong to the set of 17 KPIs pre-selected by the area coordinators, which were part of the ANP model
Summary
The automotive industry has always been a significant contributor to the global economy since it represents one of the largest manufacturing industries [1]. Most KPIs are general in nature and can be modeled to different processes, industry specific KPIs would allow maintaining a good alignment with the strategy and processes of tool, die, and molding manufacturing processes. The objective of this research is the development of a method to help the decision-making process in the selection of appropriate KPIs for the mold industry To achieve this goal, employing the ANP model to map the relationships between the various dimensions of performance evaluation is proposed. The methodology proposed in the performance evaluation and KPI selection process is presented, and in Section 4 it is applied though the realization of a case study in an automotive press molding industry, where the results and implementation process of the KPIs are discussed.
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