Identifying energy and greenhouse gas hotspots in the supply network of an industrial equipment supplier company
| dc.contributor.author | Chadrasekaran, Gayathri | |
| dc.contributor.author | Ternström, Niklas | |
| dc.contributor.department | Chalmers tekniska högskola / Institutionen för teknikens ekonomi och organisation | sv |
| dc.contributor.examiner | Dubois, Anna | |
| dc.contributor.supervisor | Kurvde, Martin | |
| dc.date.accessioned | 2022-08-22T08:57:22Z | |
| dc.date.available | 2022-08-22T08:57:22Z | |
| dc.date.issued | 2022 | sv |
| dc.date.submitted | 2020 | |
| dc.description.abstract | In this thesis, a case study was carried out to identify the energy hotspots and greenhous emissions in the supply network of the back wheel hubs, designed for buses, of the case company, Bror Tonsjö AB. The chosen research approach is analyzing the real-time data from energy usage by machines and supply operations. The case used in this thesis is the production flow from the supplier of the case company to the production processes at the industrial equipment production plant in Kungälv, Sweden. This thesis aims to both identify the energy hotspots and GHG emissions in the supply network, and also to produce recommendations to reduce energy usage and carbon emission based on the findings from the case company. In this thesis, our recommendations are focused strictly on an environmental perspective. The study was performed with semi-structured interviews combined with observations, and energy measurements using an energy logger. The data collected through these methods have been used to estimate the energy requirements to produce back wheel hubs and the carbon emissions generated from the processes and operations related to this.The study concludes that there are some potential energy hotspots in the production cell. In particular related to the drilling machine of one of the investigated production cells where the effect measuring showed some irregularities that should be further investigated. The biggest difference in the energy efficiency of the compared cell was however that one of the cells had a lot more time spent in standby due to individual machines requiring attention. Due to the production being sequence-based, if one machine stops, the entire Cell production stops for an equivalent amount of time. Another potential hotspot in terms of energy usage is that some energy spikes in the cell havebeen identified. As for the GHG emissions, the transportation of the products is a potential hotspot. The fuel used by the heavy trucks is not optimal from an environmental standpoint. The study concludes thateven though these conclusions should be more thoroughly investigated, decreasing these identified hotspots should be achievable. | sv |
| dc.identifier.coursecode | TEKX08 | sv |
| dc.identifier.uri | https://hdl.handle.net/20.500.12380/305393 | |
| dc.language.iso | eng | sv |
| dc.relation.ispartofseries | E2022:054 | sv |
| dc.setspec.uppsok | Technology | |
| dc.subject | supply network | sv |
| dc.subject | energy usage | sv |
| dc.subject | Carbon emission factor | sv |
| dc.subject | GHG emissions | sv |
| dc.title | Identifying energy and greenhouse gas hotspots in the supply network of an industrial equipment supplier company | sv |
| dc.type.degree | Examensarbete för masterexamen | sv |
| dc.type.uppsok | H | |
| local.programme | Supply chain management (MPSCM), MSc |