| dc.rights.license | CC-BY-NC-ND | |
| dc.contributor.advisor | Maat, C. | |
| dc.contributor.author | Brangers, Y.Z. | |
| dc.date.accessioned | 2019-07-15T17:01:03Z | |
| dc.date.available | 2019-07-15T17:01:03Z | |
| dc.date.issued | 2019 | |
| dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/32849 | |
| dc.description.abstract | Skills of store employees are important in retail. In this research team skills are optimized by using integer linear programming, while limiting commute distances. | |
| dc.description.sponsorship | Utrecht University | |
| dc.format.extent | 2695042 | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | |
| dc.title | Project A-Locate: Using location-allocation modelling to optimise human resources in retail environments | |
| dc.type.content | Master Thesis | |
| dc.rights.accessrights | Open Access | |
| dc.subject.keywords | human resources, geo, geodata, GIMA, retail, optimisation, location-allocation, geographic information | |
| dc.subject.courseuu | Geographical Information Management and Applications (GIMA) | |
