Rank reversal in the PROMETHEE II method: Some new results

Mareschal, Bertrand; Smet, Yves De; Nemery, Philippe

doi:10.1109/ieem.2008.4738012

Cited by 80 publications

(50 citation statements)

References 13 publications

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“…The addition or deletion of an action may change the final order and also influence the decision (Keyser and Peeters, 1996). However, Mareschal et al (2008) proved that this phenomenon occurs only in specific conditions and between adjacent positions.…”

Section: The Promethee II Methodsmentioning

confidence: 94%

See 1 more Smart Citation

A model for improving energy efficiency in industrial motor system using multicriteria analysis

Sola¹,

Mota²,

Kovaleski³

2011

Energy Policy

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Section: The Promethee II Methodsmentioning

confidence: 94%

“…Just as every method, the PROMETHEE has its limitations and should be used under certain conditions (Mareschal et al, 2008). The Decision maker expresses his preferences between actions and the importance of all criteria on ratio scales, in mathematical terms.…”

Section: The Promethee II Methodsmentioning

confidence: 99%

A model for improving energy efficiency in industrial motor system using multicriteria analysis

Sola¹,

Mota²,

Kovaleski³

2011

Energy Policy

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“…Mareschal et al (2008) presented conditions when this situation may occur, which is restricted to very limited situations. This is one of the reasons for choosing this method rather than other outranking methods for the decision model.…”

Section: The Sequencing Of Maintenance Activitiesmentioning

confidence: 96%

Other Risk, Reliability and Maintenance Decision Problems

Almeida

Cavalcante

Alencar

et al. 2015

International Series in Operations Research &Amp; Management Science

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Abstract:In this chapter, specific problems in risk, reliability and maintenance context are described, such as location of backup units, sequencing of maintenance activities, natural disasters, operation planning of a power system network, integrated production and maintenance scheduling, maintenance team sizing and reliability acceptance tests. This chapter presents a multicriteria decision model with an illustrative application for most of these problems. Amongst the MCDM/A approaches considered for the illustrative applications in this chapter are: Multiattribute utility theory (MAUT), PROMETHEE II, NSGA-II. Regarding the reliability acceptance test an MCDM/A Bayesian approach is presented. For these problems, several aspects have been considered such as: size of population, degree of industrialization, the extent of health services (location of backup units); degree of damage, consumption, electric load, special clients, healthcare services, SAIDI and SAIFI (sequencing of maintenance activities); human, environmental, financial and infrastructure concerns (natural disasters); expected tardiness and maintenance costs (integrated production and maintenance scheduling); waiting time and cost of personnel (maintenance team sizing); probability of accepting equipment not in accordance with the reliability specified by the manufacturer; and delaying the project conclusion (reliability acceptance test). Finally, some aspects of multiobjective optimization are discussed.

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“…These methods are highly appreciated by end-users because they are easy to use, intuitive, auditable, and transparent with several graphical and interactive tools. Like all methods, PROMETHEE has some drawbacks that users must be aware of including lack of guidelines on how to determine criteria weights and it suffers from rank reversal on addition or removal of options particularly PROMETHEE II (De Keyser and Peeters 1996;Macharis et al 2004;Mareschal et al 2008). To avoid "black box" effects in PROMETHEE, Macharis et al (2004) suggests use of a more manageable figure of seven EC and seven alternatives.…”

Section: Promethee IImentioning

confidence: 99%

Multi-criteria Decision Analysis: A Strategic Planning Tool for Water Loss Management

Mutikanga

Sharma

Vairavamoorthy

2011

Water Resour Manage

121

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Water utilities particularly in the developing countries continue to operate with considerable inefficiencies in terms of water and revenue losses. With increasing water demand and scarcity, utilities require effective strategies for optimum use of available water resources. Diverse water loss reduction options exist. Deciding on which option to choose amidst conflicting multiple criteria and different interests of stakeholders is a challenging task. In this paper, an integrated multi-criteria decision-aiding framework for strategic planning of water loss management is presented. The PROMETHEE II method was applied within the framework in prioritizing water loss reduction options for Kampala city. A strategic plan that combines selective mains and service lines replacement and pressure management as priorities is the best compromise based on preferences of the decision makers and seven evaluation criteria characterized by financial-economic, environmental, public health, technical and social impacts. The results show that the most preferred options are those that enhance water supply reliability, public health and water conservation measures. This study demonstrates how decision theory coupled with operational research techniques could be applied in practice to solve complex water management and planning problems.

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Rank reversal in the PROMETHEE II method: Some new results

Cited by 80 publications

References 13 publications

A model for improving energy efficiency in industrial motor system using multicriteria analysis

A model for improving energy efficiency in industrial motor system using multicriteria analysis

Other Risk, Reliability and Maintenance Decision Problems

Multi-criteria Decision Analysis: A Strategic Planning Tool for Water Loss Management

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