Scaled Agile Maturity Measurement in Manufacturing
| dc.contributor.author | Bagaskara, Rabbani Mahatma | |
| dc.contributor.author | Sampe, Verawaty | |
| dc.contributor.department | Chalmers tekniska högskola / Institutionen för teknikens ekonomi och organisation | sv |
| dc.contributor.examiner | Wickenberg, Jan | |
| dc.contributor.supervisor | Wickenberg, Jan | |
| dc.date.accessioned | 2021-06-10T06:24:19Z | |
| dc.date.available | 2021-06-10T06:24:19Z | |
| dc.date.issued | 2021 | sv |
| dc.date.submitted | 2020 | |
| dc.description.abstract | Agile has been rapidly adopted by organisations, as it is seen as an effective method for dealing with complex tasks and changing environments. However, agile is initially designed for software development and carried out by small and individual teams. Hence, despite the high success rate offered by team works in agile, adopting agile in non-sof tware development, performed by teams on a large-scale poses its own challenges. The automotive industry is continuously evolving due to many factors, such as technological shifts and changing customer behaviour. In this paper, we present our study at Volvo Cars, as a case study in six divisions under the Manufacturing Engineering department. Agile in manufacturing in this industry consists of hardware and software development and is carried out by large-scale teams. As the teams are varied, so is their agile adoption. Therefore, it is important to measure their different state of art in their agile maturity to plan a better road map in adopting agile in large-scale development. By means of measuring this different scaled agile maturity, a suitable model that f its manufacturing context is necessary. In this study, we develop a Scaled Agile Maturity Measurement Model in Manufacturing and its metrics f rom current models in literature. Our model is based on three agile maturity models (Agile Maturity Model, Scrum Maturity Model, Sidky Agile Maturity Model), where we extend those models with agile, SAFe, and agile manufacturing. So, it consists of levels, principles, and practices as measurement metrics. When applying this model in the six divisions, the measurement result shows variation corresponding to different state in their agile adoption. Hindrances, commonly shared and specific to certain divisions, are presented to analyse these differences. | sv |
| dc.identifier.coursecode | TEKX08 | sv |
| dc.identifier.uri | https://hdl.handle.net/20.500.12380/302443 | |
| dc.language.iso | eng | sv |
| dc.relation.ispartofseries | E2021:076 | sv |
| dc.setspec.uppsok | Technology | |
| dc.subject | Scaled Agile | sv |
| dc.subject | Agile Maturity Measurement | sv |
| dc.subject | Scaled Agile Maturity Model | sv |
| dc.subject | Agile Manufacturing in Automotive | sv |
| dc.title | Scaled Agile Maturity Measurement in Manufacturing | sv |
| dc.type.degree | Examensarbete för masterexamen | sv |
| dc.type.uppsok | H | |
| local.programme | Management and economics of innovation (MPMEI), MSc |