Archive / INF Seminars / INF_2019_04_16_Alessio_Ishizaka
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Visual management tool for multi-criteria decision methods


Host: Prof. Fabio Crestani




USI Lugano Campus, room SI-003, Informatics building

Alessio Ishizaka
University of Portsmouth, UK


Alessio Ishizaka is Full Professor in Decision Analysis and research lead at the Portsmouth Business School of the University of Portsmouth. He received his PhD from the University of Basel (Switzerland). He worked successively for the University of Exeter (UK), University of York (UK) and Audencia Grande Ecole de Management Nantes (France). His research is in the area of decision analysis, where he has published more than 70 papers. He is regularly involved in large European funded projects. He has been the chair, co-organiser and guest speaker of several conferences on this topic. Alongside his academic activities, he acts as a consultant for companies in helping them to take better decisions. He has written the key textbook Multicriteria Decision Analysis: methods and software.
In today’s increasingly globalised and complex economy that is flooded with data, taking decisions is a much more complex task. To help managers to tackle this challenge, we have developed a new multi-criteria performance management method that provides input for visual management and continuous improvement initiatives.
To improve, possible corrective strategies need to be identified and discussed. Visual analytical tools offer a way of presenting, justifying and explaining effectively and transparently decisions. Visual representation permits users to take in a large amount of information simultaneously as it maximises human capacity to perceive, understand and reason about complex data and situations. Visual representations promote high-quality human judgement with limited investment of the analysts’ time. Visual management has largely been used in production management in the forms of visual stream mapping, flow charts and area name boards. In this presentation, we show some visual techniques that can be coupled with multi-criteria decision methods. These include:
- GAIA plane, which represents multidimensional information in a two dimensional space whilst preserving as much of it as possible.
- Stacked bar charts, which allow the user to see the pros and cons of each action.
- Productivity graph that allows actions to be compared against each other.
These visual management tools are illustrated in a case study of innovation management and in another study evaluating energy sources in UK.