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

Regulatory supervision with computational audit in international supply chains

Nowadays, as international trade with cross-border logistics increases, the administrative burden of regulatory authorities has been dramatically raised. In order to reduce repetitive and redundant supervisory controls and promote automatic administration procedures, electronic data interchange (EDI) 1 and other forms of information sharing are introduced and implemented. Compliance monitoring ensures data quality for information exchange and audit purpose. However, failure to be compliant with various regulations is still a general phenomenon globally among stakeholders in supply chains, leading to more problems such as delay of goods delivery, missing inventory, and security issues. To address these problems, traditional physical auditing methods are widely used but turned out to be timeconsuming and costly, especially when multiple stakeholders are involved. Since there is limited empirical research on compliance monitoring for regulatory supervision in international supply chains, we propose a compliance monitoring framework that can be applied with data sharing and analytics. "e framework implementation is validated by an extensive case study on customs supervision in the Netherlands using process mining techniques. Practically, both public and private sectors will benefit from our descriptive and prescriptive analytics for audit purposes. "eoretically, our control strategies developed at the operational level facilitates mitigation of risks at root causes.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.ImPhys/OpticsInformation and Communication Technolog

A Comparison of Graphical Techniques for Asymmetric Decision Problems

We compare four graphical techniques for representation and solution of asymmetric decision problems---decision trees, influence diagrams, valuation networks, and sequential decision diagrams. We solve a modified version of Covaliu and Oliver's Reactor problem using each of the four techniques. For each technique, we highlight the strengths, weaknesses, and some open issues that perhaps can be resolved with further research.asymmetric decision problems, decision trees, influence diagrams, valuation networks, sequential decision diagrams