Search results

Using the forensic investigation (FORIN) approach, the purpose of this paper is to identify the factors that exacerbated the loss of human life in one of the most devastated local municipalities on the coast by 2011 Great East Japan Earthquake and Tsunami (GEJET) disaster.

This paper begins by reviewing the extent of damage to the local municipalities along the Sanriku ria coast, which has a long history of tsunami disasters. Second, the paper compares previous major tsunami events by using a human vulnerability index, and applies this index to detect the city of Rikuzentakata. Third, the paper identifies the root causes of the GEJET disaster in the city. Interview records with disaster victims were used to elucidate the main factors that exacerbated the number of deaths.

The study indicates that the FORIN approach can be effectively applied to identify the target city for this case study and to point to those factors the most exacerbated human sufferings, and also provides many lessons based on research findings and methodologies to support building resilient societies in the future.

This paper indicates FORIN approach as an effective research template by investigating the GEJET disaster.

This paper describes some aspects of micro sensors developed as part of the micromachine project in Japan. This national R&D project, industrial science and technology frontier program “Micromachine technology”, was inaugurated in 1991 as a ten‐year project. The R&D goal is to establish technologies to realize micromachines for the following practical applications; maintenance and repair of power plant facilities; miniaturization of manufacturing facilities; medical diagnosis and treatment. As a result, various types of micro sensors have been successfully developed.

This paper explores the changes in communication patterns when companies implement lean, and how those changes relate to implementation success.

This is a multiple-site case study involving four business units of a manufacturing company in South America, including two repeated measurement instances separating 24 months for approximately 600 direct workers and 65 supervisors. The analytical models include social network analysis measures and Ordinary Least Squares regression.

When companies implement lean, (1) teams have a higher frequency of communication among members; (2) teams become more decentralized; (3) teams communicate more with supervisors and (4) supervisors communicate more amongst themselves and collaborate more. Also, (5) better performing teams change more pronouncedly.

The study contains data for four business units but within only one company, limiting the external validity of the conclusions. The sample was predominantly male. Participant attrition and other potential covariates not included in the study can be additional limitations.

Lean implementations could be practically helped by managers by embracing and supporting the more intense communication patterns associated with lean success, and alternatively, they could proactively detect barriers in communication by measuring how these patterns change or fail to change and try to unlock communication by working on those barriers and supply communications infrastructure and opportunities for collaboration to try to boost the chances of success.

This is to our knowledge the first study measuring communication networks from the point of view of team members and low-level supervisors in lean implementations. This is also the first study showing that communication patterns change more rapidly in more successful teams, and also that communication pattern changes when implementing lean can be an indicator of success.