Pre-post Analysis on Multi-skill Development Using Flow Line Data at Expressway Service Area Facilities

Takeshi Kurata, Akihiro Sato, Satoki Ogiso, Karimu Kato, Satoshi Nakae, Ryosuke Ichikari, Takeshi Shimmura

Abstract: This paper mainly reports on a case study of pre-post analysis of multi-skill development at commercial facilities in an expressway service area, together with the results of grasping the current work patterns of the site. A work pattern analysis method that does not depend on site-specific detailed information using geospatial intelligence (GSI) technology was applied to the facilities, and a matching analysis with site-specific detailed information was also conducted. In the facilities, 16 work patterns were extracted that are close to the actual situation. In addition, it was confirmed that the number of work areas that can be handled has increased as a result of multi-skill development. The median number of employees per day was reduced by one after multi-skill development, and its standard deviation was also reduced. This implication is that the site became more flexible to handle daily tasks. In contrast, walking distances and work hours per employee increased. Further improvement in efficiency and automation will be desirable to absorb the reduction impact in the number of employees without increasing the burden on each individual. In this case study, the analysis method developed for a manufacturing line was applied to the service site. This provided a preliminary validation of the versatility of this analysis method and its applicability to larger sites.