Preference and causal fuzzy models for manager's decision aiding in industrial performance improvement

Montmain, Jacky; Clivillé, Vincent; Berrah, Lamia; Mauris, Gilles

doi:10.1109/fuzzy.2010.5584303

Cited by 5 publications

(10 citation statements)

References 16 publications

(29 reference statements)

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“…This paper has assumed that PS NS = and an absence of impact is represented by the value 0 (which corresponds to the lower value on the PS scale). Note that veto and dictator effects of some criteria through min and max operators can be smoothed when a weights distribution is assigned to the oDDPs as suggested in [39].…”

Section: Qualitative Analysesmentioning

confidence: 99%

Tracking the consequences of design decisions in mechatronic Systems Engineering

Couturier

Imoussaten

et al. 2014

Mechatronics

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The design of mechatronic systems involves several technical and scientific disciplines. It is often difficult to anticipate, at the outset, the consequences of design decisions on the ultimate effectiveness of such complex systems, in which case the evaluation process is required to support the designers each time engineering choices must be made or justified. Since designers may belong to different technical and scientific cultures however, their understanding of both the design stakes and the evaluation process is too often biased. Moreover, design choices take place in an uncertain context and according to multiple criteria, some of which may be contradictory. In order to track the consequences of design decisions, we are proposing a conceptual data model to perform evaluations within the MBSE framework of Systems Engineering. We then proceed by relying on the relationships demonstrated by such a model to identify the potential impacts of design choices on future product performance. Since data available during the conceptual phase of the design are typically uncertain or imprecise, an original research protocol is extended to a qualitative impact analysis for the purpose of highlighting the most promising alternative system design solutions (ASDS). An example in the mechatronics field serves to illustrate our proposals.

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Section: Qualitative Analysesmentioning

confidence: 99%

Tracking the consequences of design decisions in mechatronic Systems Engineering

Couturier

Imoussaten

et al. 2014

Mechatronics

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“…First, the set of potential actions is The gains between improvement actions and performances cannot generally be quantitatively identified in complex systems [11] [12]. The actionperformance relationships model may be purely qualitative: an arc " aP " (resp. "…”

Section: Actions -Performances Relationships Modelmentioning

confidence: 99%

“…{ , , , } C P P P P , 0.6 and { , , } SAP a a a is a subset of improvement actions, with 12 { , } C P P (see Fig. 2).…”

Section: Argumentsmentioning

confidence: 99%

“…Some attempts have been proposed to design such an efficient multicriteria improvement based on a Multi Attribute Utility Theory (MAUT) model [3]; other approaches [7] [8] explain that a muticriteria improvement project should rather be based upon a model of the relationships between actions on the system and goals. Some trade-offs between both trends have been suggested in [11] [12].…”

Section: Introductionmentioning

confidence: 99%

“…Finally, the approach is supported by a simulator of the departments" debate. This modelling is motivated by the following purposes: -First, when the set of potential actions is large then using a global optimization method rapidly leads to combinatorial problems [11] [12]. Simulation techniques where departments are independent but cooperative agents allow reducing complexity of computations.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Improving performances in a company when collective strategy comes up against individual interests

Imoussaten¹,

Trousset²,

Montmain³

2011

Proceedings of the 7th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-2011)

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In the current industrial context, strategies intended to bring about continuous improvement have to include the multi-criteria performance expression aspects. In complex systems, many actions may be envisaged to achieve the required levels of performance. A fuzzy representation is used to model the relationships between objectives and actions. Mostly, the potential improvement actions are distributed into several departments of a company. Then, the departments have to enter into negotiations to allocate actions" responsibility and share the budget granted by the direction. Lots of interest conflicts may occur. An argumentation framework is proposed to model this argumented negotiation for improvement design.

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A Qualitative Approach to Set Achievable Goals During the Design Phase of Complex Systems

Sow

Imoussaten

Couturier

et al. 2016

Information Processing and Management of Uncertainty in Knowledge-Based Systems

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The problem addressed in this paper is "how to set ambitious targets when improving or designing a product while these targets remain within the reach of the manufacturer". Thus, improvements to be focused on are those which both have a significant positive impact on product performance and correspond to operational changes properly under control by the manufacturer. While some approaches in the literature have already addressed each of the two issues of the improvement problem, few deal with both of them at the same time. In this paper we investigate a qualitative approach that conciliates both points of view as an optimization problem. The notion of interaction between any two objectives to be simultaneously satisfied is central in our framework. An illustrative example related to the design phase of autonomous robot is provided.

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Preference and causal fuzzy models for manager's decision aiding in industrial performance improvement

Cited by 5 publications

References 16 publications

Tracking the consequences of design decisions in mechatronic Systems Engineering

Tracking the consequences of design decisions in mechatronic Systems Engineering

Improving performances in a company when collective strategy comes up against individual interests

A Qualitative Approach to Set Achievable Goals During the Design Phase of Complex Systems

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