10 research outputs found
The rank reversal problem in multi-criteria decision making : a literature review
Despite the importance of multicriteria decision-making (MCDM) techniques for constructing effective decision models, there are many criticisms due to the occurrence of a problem called rank reversal. Nevertheless, there is a lack of a systematic literature review on this important subject which involves different methods. This study reviews the pertinent literature on rank reversal, based on 130 related articles published from 1980 to 2015 in international journals, which were gathered and analyzed according to the following perspectives: multicriteria technique, year and journal in which the papers were published, co-authorship network, rank reversal types, and research goal. Thus our survey provides recommendations for future research, besides useful information and knowledge regarding rank reversal in the MCDM field
Changes in students’ choice determinants in Poland: a comparative study of tertiary business education between 2008 and 2013
On qualitatively consistent, transitive and contradictory judgment matrices emerging from multiattribute decision procedures
Isoarchic and Multi-criteria Control of Supply Chain Network
International audienceSupply chains and more particularly supply chains networks are more and more subjected to extreme dynamic operations, where it is asked to each actor more flexibility and reactivity on the one hand and a specialization bringing more productivity on the other hand. Companies try to achieve the common goal of satisfying customers’ needs through partnership. Negotiation between partners is thus required involving each partner management and production organization. This situation makes difficult to obtain the best response with respect to the need of each customer. For that, a new approach is proposed for customer-supplier relationship control, in which the partnership is considered in the context of an association of potential suppliers within a network: an isoarchic control model for supply chains network based on a holonic architecture. The decision-making mechanism is produced thanks to the properties of a decision-making centre, called Autonomous Control Entity (ACE), associated to each actor of the logistic network, which makes it possible to quantify a multi-criteria evaluation. An implementation of the simulation of such a system is done via a distributed simulation environment HLA (High Level Architecture). A case study is presented