Information aggregation in industrial performance measurement: rationales, issues and definitions

Berrah, Lamia; Mauris, Gilles; Vernadat, François

doi:10.1080/00207540410001716534

Cited by 47 publications

(44 citation statements)

References 33 publications

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“…So, the relations and mutual effects in an industrial environment cannot be treated with the classic additive measures (Berrah et al, 2004).…”

Section: Fuzzy Integralmentioning

confidence: 99%

Optimising the Improvement of a Global Industrial Performance Based on AHP and Sugeno Integral Aggregation: Case Study in Moroccan Automotive Suppliers

Chahid¹,

Alami²,

Soulhi³

et al. 2014

MAS

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The performance measurement systems (PMS) in the industry are defined in terms of various measures to be combined for global performance. The proposed approach treats with a qualitative approach for multicriteria decision with the improvement strategy of an overall industrial performance. The approach is based on a AHP and Sugeno integral aggregation operator, permits to express the global performance, according to the fuzzy set theory of appropriate Key Performance Indicators (KPI), the nonlinearity of this model, makes data ambiguous in the process of multicriteria decision-making.Hence, this manuscript is a contribution to the selection of the strategy of the improvement of the overall performance. The approach applies to the Moroccan Automotive Suppliers to evaluate three strategies alternatives by using a fuzzy Sugeno Integral technique to deal with the complex interrelationships aspects between KPI.

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“…So, the relations and mutual effects in an industrial environment cannot be treated with the classic additive measures (Berrah et al, 2004).…”

Section: Fuzzy Integralmentioning

confidence: 99%

Optimising the Improvement of a Global Industrial Performance Based on AHP and Sugeno Integral Aggregation: Case Study in Moroccan Automotive Suppliers

Chahid¹,

Alami²,

Soulhi³

et al. 2014

MAS

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“…The primary quantitative frameworks found in the literature on PMS are intended to reduce dimensionality and hence a product of the MAUT (Multi-Attribute Utility Theory) aggregation model school (Diakoulaki et al, 1992;Lee et al, 1995;Rangone, 1996;Kim et al, 1997;Suwignjo et al, 2000), although a few studies have been based on outranking models (Mareschal et al, 1991;Babic et al, 1998). MAUT models allow defining the overall performance of a company with respect to its various elementary objectives (Berrah et al, 2004). Moreover, they serve to highlight priorities in the decision-maker's strategy (Clivillé et al, 2007).…”

Section: Problem Statementmentioning

confidence: 99%

Monitoring and Control of an Efficient Industrial Performance Improvement within a MAUT Assessment Framework

Montmain

2011

Supply Chain Forum: An International Journal

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This paper begins by discussing the implementation of monitoring and control strategies to improve industrial performance. Industrial performance is presently defined in terms of multiple and multi-level criteria, which need to be synthesized for overall improvement purposes. The Multi-Attribute Utility Theory (MAUT) provides tools relevant to decisionmaking within this specific context. According to our approach, overall company performance is expressed as the aggregate value of each elementary performance relative to each criterion, with the aggregation operator being a Choquet integral. The paper then recalls previous studies regarding the design of efficient improvements within this same MAUT framework, before focusing on an analysis of overall performance gain in terms of elementary performance improvements. The contribution of an aggregate performance gain criterion plays a key role in this study. Two improvement strategies will moreover be examined and compared in light of this concept development. A case study has also been included to illustrate the proposals set forth in the paper.

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“…In the context of industrial performance expression, the aggregation processing can be formalized by the following mapping [12] The aggregation operator must be significant for the considered scale type.…”

Section: Industrial Performance Expression Backgroundmentioning

confidence: 99%

“…Based on our previous proposed model where PMSs were considered for informational control purposes [11] [12], the aim of this work is to define pieces of information for aiding the decision-makers to succeed in answering the above questions. The major idea developed here is to model the link between the management strategy and the way in which the overall performance has been achieved.…”

Section: Introduction -Problem Statementmentioning

confidence: 99%

Management decision-aiding with a fuzzy integral based Performance Measurement System

Berrah¹,

Montmain²,

Clivillé³

et al. 2011

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

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This article is a contribution to the decision-maker's requirements to adapt resource allocation and define rewards according to the performance assessments at each milestone of an improvement action plan execution. Our approach is based on Performance Measurement Systems relating interacting elementary performance to the overall performance by a 2-additive Choquet integral aggregation. Performance improvement analysis for resource allocation and motivation management is based on the marginal contributions of each elementary performance to the overall performance which give useful information on the way the overall performance has been achieved and would be improved. The propositions are applied to the business turn-over performance improvement of a SME company manufacturing kitchens and bathrooms.

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Information aggregation in industrial performance measurement: rationales, issues and definitions

Cited by 47 publications

References 33 publications

Optimising the Improvement of a Global Industrial Performance Based on AHP and Sugeno Integral Aggregation: Case Study in Moroccan Automotive Suppliers

Optimising the Improvement of a Global Industrial Performance Based on AHP and Sugeno Integral Aggregation: Case Study in Moroccan Automotive Suppliers

Monitoring and Control of an Efficient Industrial Performance Improvement within a MAUT Assessment Framework

Management decision-aiding with a fuzzy integral based Performance Measurement System

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