Vincent Clivillé

Towards an aggregation performance measurement system model in a supply chain context

This study deals with the supply chain (SC) performance formalization. We propose to build performance measurement systems (PMSs) by linking an overall performance expression to elementary ones. The overall performance is associated to a global objective whose break-down provides elementary objectives. Elementary performances are thus aggregated in a corollary way. The problem in the design of such PMSs, by the break-down/aggregation model, concerns both the coherent elementary performance expressions and the definition of the links between them. Some answers are proposed in the literature, such as the weighted mean aggregation operator, to handle hierarchical links, the Choquet integral operator, for taking interactions into account. As global frameworks, the AHP or MACBETH methodologies are suggested. By considering the SCOR model break-down, we propose to extend here the proposed approaches for expressing the overall performance of a SC. An aggregation methodology, based on the Choquet integral operator and MACBETH framework, is thus adopted.

Overall performance measurement in a supply chain: towards a supplier-prime manufacturer based model

This study deals with the supply chain (SC) overall performance expression. The developed idea concerns more particularly the performance of the manufactured products. Indeed, two companies or more contribute to the manufacturing of products that are generally assembled by the prime manufacturer company. Moreover, in the industrial practice, performance scorecards are defined with regard to each process; and the overall performance is neither expressed for each company, nor for the whole SC. We propose here to identify the SC overall performance to the combination of the performances of the different involved companies in the SC. Thus, in order to obtain a definition of such performance, we choose to focus first on the performance of the prime manufacturer. In this sense, the approach is based on the SCOR model for the handling of the main processes around the considered product manufacturing. The prime manufacturer performance is then defined as the aggregation of its involved processes’ performances. While the prime manufacturer performance is strongly dependent on the suppliers’ performance, we suggest the integration of the impacting supplier performance into the prime manufacturer scorecards. From an operational point of view, the MACBETH methodology is used to coherently express both processes and overall performances. More precisely, the Choquet aggregation integral operator is applied in order to model mutual interactions between processes. Finally, the expression of a bearing’s manufacturer performance illustrates the proposition.

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

The major industrial control purpose is the reaching of the expected performances. In this sense, improvement processes are continuously carried out in order to define the right actions with regard to the objectives achievement. Thus, in order to better monitor the performance continuous improvement process, we consider a quantitative model for performance assessment. The industrial performance being multi-criteria, the proposed model is thus based on the one hand, on the MACBETH method to express quantitatively elementary performances from qualitative expert pair-wise comparisons and, on the other hand, on the Choquet integral to express the overall performance according to subordination and transverse interactions between the elementary performances. Then, the main focus concerns the decision-makers requirements for optimising the improvement of the overall performance versus the allocated resources. In this view, we propose useful pieces of information first for diagnosis, then for overall performance improvement optimisation versus the costs of elementary performance improvements. Finally, the proposed approach is applied to an industrial case looking for optimising the improvement of the lean objective satisfaction related to the throughput time of hydraulic component manufacturing.

Efficacy and efficiency indexes for a multi-criteria industrial performance synthesized by Choquet integral aggregation

Nowadays, despite widespread recognition of the importance of performance measurement systems (PMSs), there are some issues that require further investigation if PMSs are to be effective in their role of control support. This article seeks to illustrate that the Choquet integral aggregation operators can address the problem of taking interactions between performance criteria into account. However, the use of this quite complex approach requires to explicitly define pieces of information aimed at aiding decision makers through a better understanding of the contribution of the elementary performances to the overall one, and better assessing of the different ways of improving the overall performance. In this view, indexes of efficacy and efficiency of the elementary performances aggregated by a 2-additive Choquet integral are proposed and applied to a case submitted by a small and medium-sized company (SME).

Information fusion in industrial performance: a 2-additive Choquet-integral based approach

This study deals with the fusion of performance expressions in a manufacturing context, i.e. the mechanism which allows the computation of a global performance knowing the elementary ones. The characteristics of this kind of fusion is that the elementary performances to be combined are, on the one hand, often information of heterogeneous nature (cost, quality, delay...). On the other hand, they are associated to diversified and numerous objectives which interacts in different ways (negative or positive synergy, veto...). In this sense, the fuzzy subset theory provides tools to deal with: the heterogeneity of the entities involved, the commensurability of the elementary performances expressed in the interval [0,1], and the different behaviors of the fusion operation (compromise effect, optimistic or pessimistic effect...). Among all the fuzzy fusion operators, we consider here, the 2-additive Choquet fuzzy integral for modeling the different mutual interactions between the performance criteria and fusing their associated evaluations.

A Quantified Industrial Performance Measurement System Based on a Choquet Fuzzy Integral

This study deals with the aggregation of performance expressions in a manufacturing context, Le. the mechanism which allows the computation of a global performance knowing the elementary ones. In this kind of aggregation the elementary performances to be combined are, on the one hand, information, often of a heterogeneous nature (cost, quality, delay ...), on the other hand, they are associated to diversified and numerous objectives which interact in different ways. In this context, the conventional approaches based on the Weighted Arithmetic Mean and the Analytic Hierarchy Process show their limitations. Thus, we propose an approach based on the fuzzy Choquet integral and on a MACBETH inspired method. This approach satisfies measurement theory requirements thanks to performance expressions defined according interval scales. The proposed procedure for quantifying performance measurement is illustrated on a case study submitted by a company that manufactures bathrooms and kitchens.

Deploying the ELECTRE III and MACBETH multicriteria ranking methods for SMEs tactical performance improvements

Industrial companies are continuously looking to improve their business turn-over and choose improvement actions to achieve this objective. Legitimating this choice by only a strategic financial point of view currently has some limits, because additional ones such as quality, delay, resources needs have also to be taken into account. The MCDA approaches have been developed to deal with problems such as ranking, sorting or quantification. The purpose of this paper is to describe the operational aspects in MCDA deployment through a case study submitted by the SME Fournier Company. This paper concerns analytical overall performance models to allow the DMs to select potential actions to launch regarding given decision criteria. The principles of the main MCDA approaches are presented. Then representative MCDA methods, ELECTRE III and MACBETH, are successively deployed to a tactical decision problem of business turn-over increase. From the building of their respective preference modelling, decision aid is provided in the form of preference relation or performance function. A formal framework supplying information to the industrial DMs in order to legitimate the action selection is described. In addition the DMs feedback highlights the required expertise for the preference modelling. The article gives a guideline for industrial practitioners to carry out ELECTRE III and MACBETH for their improvement action selection. SMEs can find an adapted framework for their improvement actions choice dealing with financial and non-financial criteria. It is also enriched by practical considerations concerning the methods deployment for tactical decision problems.

Towards An Industrial Performance Quantification Model According To The Balanced Scorecard

This article deals with an industrial performance quantification approach based on the Balanced Scorecard (BSC) tool. Developed by Kaplan and Norton, the BSC has been defined by its strategic control level. In our opinion, it could be more extensively used at an operational level than it is today. In this way, it could be useful for quantifying all the links and performance measures defined in the BSC. For this, we choose to use the multicriteria decision-aiding methodology MACBETH (Measuring Attractiveness by a Categorical Based Evaluation Technique). Indeed, MACBETH proposes to express in a coherent way elementary and overall performances by using a structured procedure. We propose to apply this methodology with a particular aggregation operator of the Choquet integral family. The Choquet integral operators generalize the weighted arithmetic mean by taking elementary performance interactions into account. The proposed quantified model is illustrated by a case study done on a textile company.

Towards a Quantitative Performance Measurement Model in a Buyer-Supplier Relationship Context

In the current industrial context, it is generally difficult for manufacturing companies to produce all the components of the products they propose. Thus, they either buy a large proportion of these components from suppliers or subcontract their manufacturing with other companies. This exchange of physical and informational flows between buyers and suppliers is then considered as a network. In terms of manufacturing and logistics, this network can be seen as a Supply Chain (SC) which connects the ultimate customer (buyer) to the ultimate supplier (Ayers, 2000) (Barut et al., 2002). On the other hand, the SC management requires an effective cooperation between suppliers and buyers. In this sense, the whole SC from raw material suppliers to the final customer can be seen as a set of buyersupplier relationships. It means that the buyer-supplier relationship is the cornerstone of the SC management (Kelle et al., 2007). One important point in the SC management concerns the measurement of the performance (Gunaserakan et al., 2008). Indeed, according to Deming’s wheel, SC management requires performance indicators which handle: • on the one hand the objectives, to be defined consistently with the capabilities of the considered system, • on the other hand the measures of the achievement of the assigned objectives, in order to asses the achieved improvement and define the next actions to implement. The performance measurement remains a difficult problem for companies as well as SC’s. We choose here to subscribe to the performance vision based on the ISO 9000 standard. In this sense, the current scorecards generally collect sets of performance measurements about the main processes of the SC, usually according to the SCOR model (SCOR, 2000). Nevertheless, the question of the overall performance resulting from the process performances is rarely considered. Indeed, performance indicators are associated to each process. However, the provided performances are independently defined, as each process is evaluated separately from the others. This partitioned vision does not allow to consider SC as a whole and thus to efficiently control it. In this sense, the involved indicators must be supplemented by the knowledge of the links between them. Therefore, the interest for an overall performance expression for all or a part of the SC is acknowledged, as is the case for

Decision problem of instrumentation in a company involved in ISO 50001

In the context of performance management and the involvement of companies in sustainable development, energy management is a new challenge. Managing energy is a complex problem as it can potentially impact the whole company and if mishandled could be harmful for its added value. In order to assist companies in this challenge, the ISO 50001 proposes a standard for the creation of Energy Management Systems (EnMS). Such systems bring the recurring problem of decision about the choice of the actions necessary into their deployments. Notably, they rely heavily on the data related to the consumptions of energy and its usage in a given company. Hence the problem of decision, at an audit stage, can concern the choice of a sound instrumentation. This paper deals with the interest of the company adixen Vacuum Products in a standard for decision aiding in this situation. The idea is to build the model of preference of the Decision Maker and to establish a generic procedure about decision supported by a MCDA tool. Our proposition is to use the ACUTA method in order to elicit this model of preference.