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Research Article

Improvement of maintenance-based Product-Service System offering through field data: a case study

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Article: 2278313 | Received 04 Apr 2023, Accepted 27 Oct 2023, Published online: 18 Nov 2023

Figures & data

Figure 1. Methodology for the analysis of field service maintenance reports.

Figure 1. Methodology for the analysis of field service maintenance reports.

Table 1. Pseudocode for analysis.

Figure 2. Distribution of interventions per technician.

Figure 2. Distribution of interventions per technician.

Figure 3. Number of reports filled per year by the top six technicians.

Figure 3. Number of reports filled per year by the top six technicians.

Figure 4. Distribution of interventions per a) nation, b) technician, and c) year.

Figure 4. Distribution of interventions per a) nation, b) technician, and c) year.

Figure 5. Topics occurrences in the dataset.

Figure 5. Topics occurrences in the dataset.

Figure 6. Topic trends over the years. The bigger the marker, the higher the number of interventions.

Figure 6. Topic trends over the years. The bigger the marker, the higher the number of interventions.

Figure 7. Topic co-occurrence.

Figure 7. Topic co-occurrence.

Figure 8. a) co-occurrence between topic and technician and b) distribution of topics among the four models with more interventions.

Figure 8. a) co-occurrence between topic and technician and b) distribution of topics among the four models with more interventions.

Table 2. Topic content.

Table 4. Additional general improvements achievable through field data analysis.

Table 3. Improvements were achieved following the NLP analysis for the case of company A.