University of Twente Student Theses
Enhancing smart manufacturing at Broshuis
Beek, M.M.C.A. van (2018) Enhancing smart manufacturing at Broshuis.
|
PDF
4MB |
| Full Text Status: | Access to this publication is restricted |
| Abstract: | The purpose of this research is to give advice on the machines to be purchased for the production department of Broshuis Parts Production B.V. based on QRM and the Smart Industry concept. Criteria and conditions were set by QRM, Smart Industry and the project team. This was followed by an analysis of the current product portfolio and trough a brainstorm session 4 scenarios were created: Scenario 1: Continue outsourcing; represents 0% of outsourced work Scenario 2: Insource laser cutting (3x1.5 meters) and bending; represents 60% of outsourced work Scenario 3: Insource laser cutting (up to 6x2 meters) and bending; represents 85% of outsourced work Scenario 4: Laser cutting, bending and cutting long items (up to 16 meters); represents 95% of outsourced work These scenarios were tested against the criteria according the AHP method and scenario 3 came out best. After the choice between the different scenarios the capacity utilization was calculated for an average mix of trailers. In a double shift the main condition set by QRM, nothing should be planned for more tthan 70-85% of its capacity, is met. |
| Item Type: | Essay (Master) |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Subject: | 85 business administration, organizational science |
| Programme: | Business Administration MSc (60644) |
| Link to this item: | https://purl.utwente.nl/essays/76156 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
Show download statistics for this publication
Show download statistics for this publicationRepository Staff Only: item control page