Background: The maintenance process is crucial for production activities to supply continuity and productivity. With Industry 4.0 advent, opportunities to create a huge amount of data and use this data to improve production and maintenance performance indicators became a topic that is necessary to make decisions. Most importantly, before applying these technologies, there is a need to integrate all systems to create a common language. Purpose: The first aim is to explore the influence of system integration within production and maintenance in measuring machine availability. Secondly, to review in detail the procedure of calculating machine availability among several production units in a manufacturing company. Research Question 1 (RQ1): What are the values of system integration among maintenance and production decisions in measuring machine availability? Research Question 2 (RQ2): Which parameters or indicators can be taken into consideration to calculate machine availability among several production units in a manufacturing company? Methodology: The study is based on a case study that primarily relies on qualitative data from interviews, survey, and observations, as well as quantitative calculation of availability data. An exploratory research design was used in the beginning of the study, followed by an abductive approach which means both inductive and deductive approach were used. The total process can be broken down into two parts: theoretical background/literature review and Scania empirical research. Conclusions: With the integration of different systems, it is shown that the real availability numbers differ compared with assumed numbers. The manufacturing industry is undergoing paradigm shifts, and many manufacturing companies worldwide are currently updating their maintenance strategies aligned with smart maintenance. With the aim of securing productive, robust, and sustainable production systems through the implementation of the smart maintenance concept. Therefore, it can be suggested that before implementings mart maintenance technologies, starting to create collaboration within a common database in association with production units about production data sharing matter is crucial step for the case company.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:mdh-58548 |
| Date | January 2022 |
| Creators | Davidova, Gizem Plamenova, Al-Mbaideen, Afnan |
| Publisher | Mälardalens universitet, Akademin för innovation, design och teknik |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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