Purpose: To deepen the understanding of data management for decision making in production development by analysing the multidisciplinary literature Research guiding question: •“How data management has been used in the current literature, for supporting decision making in production development?”.•“what are the hindering factorsfor data management in production development?”. Method: A systematic literature review is the research method forthis thesis. The source for the literature is from Scopus digital database. Conclusion: In context of the thesis, a descriptiveanalysisis performed tounderstand the efforts madeon the dimensions of “Focus area in manufacturing”, “Type of contributions”and the “Type of research”in the finalised literature. Ageneral cyclic procedure on data-driven decision-making is presented.Thematicanalysisisperformed in the areas of data acquisition, data analysis,decisional making systems and the type of decisions,to know how data management was performed for decision making in production development andtheobtainedthemes weresummarized as results.Also,thematicanalysiswas performedonthe challenges in data acquisition, data analysis,anddecisional making systems, thereafter,the obtained themes were summarizedandpresentedas hindering factors todata management for decision making inproduction development.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:mdh-44084 |
| Date | January 2019 |
| Creators | Jayadeep, Ravuri |
| Publisher | Mälardalens högskola, 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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