Identifying Criteria Most Influencing Strategy Performance: Application to Humanitarian Logistical Strategy Planning View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2018-05-18

AUTHORS

Cécile L’Héritier , Abdelhak Imoussaten , Sébastien Harispe , Gilles Dusserre , Benoît Roig

ABSTRACT

A growing interest is expressed by organizations for the development of approaches enabling to take advantage of past experiences to improve their decision processes; they may be referred to as Lessons Learned (LL) processes. Within the LL processes implementation framework, the development of semi-automatic approaches able to distinguish criteria having major influence on the evaluation of experiences is crucial for identifying relevant recommendations and performing efficient prescriptive analysis. In this paper, we propose to contribute to LL study by focusing on the definition of an approach enabling, in a specific setting, to identify the criteria most influencing the decision process regarding the overall performance evaluation of a reduced set of experiences. The proposed approach is framed on Multi-Criteria Decision Analysis, and specifically is based on the Electre tri method. In this paper, an illustration of the proposed approach is provided studying the evaluation of logistical response strategies in humanitarian emergency situations. More... »

PAGES

111-123

References to SciGraph publications

Book

TITLE

Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications

ISBN

978-3-319-91478-7
978-3-319-91479-4

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-91479-4_10

DOI

http://dx.doi.org/10.1007/978-3-319-91479-4_10

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1104043214


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