Optimising industrial performance improvement within a quantitative multi-criteria aggregation framework

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

doi:10.1504/ijdats.2011.038805

Cited by 8 publications

(7 citation statements)

References 33 publications

(36 reference statements)

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“…The main functionality of this PMS is a formal unified framework for quantifying both monocriterion interacting performances and overall performance. Such a framework has been used to optimising performance improvement by quantifying efficacy and efficiency of the improvement (Berrah et al 2011).…”

Section: State Of the Art And Research Assumptionsmentioning

confidence: 99%

The Contribution concept for the control of a manufacturing multi-criteria performance improvement

Berrah¹,

Clivillé²,

Montmain³

et al. 2016

J Intell Manuf

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International audienceBy dealing with an overall manufacturing performance improvement context, we introduce in this paper the “improvement contribution” concept. A framework that integrates such a concept to the quantification of a multi-criteria interacting performance is proposed. The improvement contribution is defined as a new intelligent functionality that quantifies the impact of the improvement of a single (or a set of) mono-criterion performance(s) on the improvement of an overall performance. When performances are interacting, the quantification of such a contribution cannot be direct. The proposed approach consists of an extension of a previously developed Performance Measurement System (PMS). The considered PMS integrates an aggregation operator - the Choquet Integral (CI) - for the expression of an overall performance by handling weights and interactions between the mono-criterion performances. The principles of the improvement contribution and its quantification are thus presented in addition to the way the improvement contribution can be used for helping decision-makers in their manufacturing improvement control. As an illustration, the use of these contributions within successive iterations of improvement actions is shown using a case study submitted by the SME Fournier Compan

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Section: State Of the Art And Research Assumptionsmentioning

confidence: 99%

The Contribution concept for the control of a manufacturing multi-criteria performance improvement

Berrah¹,

Clivillé²,

Montmain³

et al. 2016

J Intell Manuf

Self Cite

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“…For the sake of conciseness, the considered physical system is the Hydraulic Cylinders (HC) (see Figure 7). Decision-makers looked first for a better explanation of the current situation [53]. Although several action plans have been launched in order to increase the lead time, the current state of the HC line needs more improvement, in terms of working, regarding the takt time, the delays related to the supply service, the lack of synchronicities in the different involved processes……”

Section: The Company's Industrial Systemmentioning

confidence: 99%

“…A partnership is established between the company and the LISTIC laboratory, leading, from an academic point of view, to Phd theses and international publications. That is why the industrial system description is quite similar to the one given in[53]. For the sake of confidentiality, the considered values are purely indicative.…”

mentioning

confidence: 92%

Towards a unified descriptive framework for industrial objective declaration and performance measurement

Berrah¹,

Foulloy²

2013

Computers in Industry

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International audienceExpressing the performance of industrial companies is an important feature for their continuous improvement. As the performance concept refers to the objective one, our idea is to relate the performance expression mechanism to that of the objective declaration. We propose a variable tree framework to describe the break-down of objectives and the expression of the performances, highlighting the multicriteria aspect of both the performance and the objectives. Moreover, the temporal aspects of the objective declarations are emphasised, leading to the introduction of both the objective and the performance temporal trajectories. Such trajectories take into account the whole of the temporal horizon that is associated with the achievement of the objective. The link between the provided trees and trajectories is established through the elementary objective notion which corresponds to the leaves of the trees. A conventional recursive depth-first search algorithm is applied to the variable tree for the computation of the corresponding performances, at any considered milestone of the temporal horizon. Finally, the overall throughput time of the hydraulic cylinders manufacturing line of the Bosch Rexroth Company is considered to illustrate the proposed ideas

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“…When designing improvement measures for complex systems, multiple decisions need to be considered [3]. Examples include military information architecture [47] and industrial device performance improvement [5,34]. Such settings increase the multidisciplinary design complexity regarding the fulfillment of functional, technical, environmental, economic and security requirements.…”

Section: Introductionmentioning

confidence: 99%

Multi-criteria improvement of complex systems

Montmain¹,

Labreuche

Imoussaten³

et al. 2015

Information Sciences

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Designing the way a complex system should evolve to better match customers' requirements provides an interesting class of applications for muticriteria techniques. The models required to support the improvement design of a complex system must include both preference models and system behavioral models. A MAUT model captures decisions related to design preferences, whereas a fuzzy representation is proposed to model relationships between system parameters and the fulfillment of system assessment criteria. The way in which these models are jointly used throughout our entire design procedure highlights that both models must be used in tandem to address managerial and implementation issues involved in an improvement project. The iterative improvement process is supported by a mathematical model, in addition to a software tool that allows our approach to be tested in an industrial case study. The search for adequate parameters regarding the improvement design is supported by a branch and bound algorithm to compute the most relevant actions to be performed. The findings confirm the efficiency of the algorithm.

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Optimising industrial performance improvement within a quantitative multi-criteria aggregation framework

Cited by 8 publications

References 33 publications

The Contribution concept for the control of a manufacturing multi-criteria performance improvement

The Contribution concept for the control of a manufacturing multi-criteria performance improvement

Towards a unified descriptive framework for industrial objective declaration and performance measurement

Multi-criteria improvement of complex systems

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