Speaker 2024
Prof. Alessio Ishizaka
Neoma Business School
Bio: Alessio Ishizaka is Distinguished Professor in Decision Analysis. He was Head of the Information Systems, Supply Chain and Decision making Department from 2019 to 2022. He was also research lead and Deputy Director of the Centre of Operational Research and Logistics at the University of Portsmouth. Alessio 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). He has been visiting professor in several universities in Italy, France and Germany. His research is in the area of decision analysis, where he has published more than 120 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. He wrote the indispensible textbook Multicriteria Decision Analysis: methods and software.
Speech Title: Multi-Criteria Sorting Methods for solving Supply Chain Management Problems
Abstract: Good decisions are very important. However, they are often complex, especially if based on several criteria which may be conflicting. Therefore Multi-Criteria Decision Making methods have been developed. Their task is mainly for solved choice or ranking problems. In this talk, we present two new methods for sorting problems: AHPSort and MACBETHSort. They will be illustrated in two supply chain management case studies.
The first case studies classifies suppliers according to their performance. Moreover, we add the descriptive method GAIA as an extension to the AHPSort method that helps policy makers to gain insights into their decision problems. It allows users to visualise the different performances of suppliers within a review process and provide feedback for improvements.
In the second case study, we developped MACBETHSort for the ABC classification. Efficient companies need to know which their strategic products are. For this purpose, the ABC classification based on the item’s value was developed and was used for a long time. Later, it was recognised that several other criteria need to be considered and multicriteria ranking methods were applied. However, the classes have always been defined based only on a relative proportion. Therefore, the number of products in a class is independent of the actual importance of the products. In this paper, we correct this problem with MACBETHSort.