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

机译:部署ELECTREⅢ和MACBETH多准则排序方法以提高中小型企业的战术绩效

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Purpose - 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 multicriteria decision aid (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. Design/methodology/approach - This paper concerns analytical overall performance models to allow the decision-makers (DMs) to select potential actions to launch regarding given decision criteria. The principles of the main MCDA approaches, outranking and aggregation, are presented. Then representative MCDA methods, ELECTREIII 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. Findings - 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. Practical implications - The article gives a guideline for industrial practitioners to carry out ELECTREIII and MACBETH for their improvement action selection. Originality/value - 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.
机译:目的-工业公司一直在寻求改善其营业额,并选择改善措施以实现这一目标。目前仅从战略财务角度对这种选择进行合法化有一定的局限性,因为还必须考虑其他一些诸如质量,延迟,资源需求之类的问题。已经开发了多标准决策辅助(MCDA)方法来处理诸如排名,排序或量化之类的问题。本文的目的是通过SME Fournier公司提交的案例研究来描述MCDA部署中的操作方面。设计/方法/方法-本文涉及分析整体绩效模型,以使决策者(DM)可以根据给定的决策标准选择可能采取的行动。介绍了MCDA主要方法的原则,即排名和汇总。然后将代表性的MCDA方法ELECTREIII和MACBETH依次部署到业务周转增加的战术决策问题中。通过建立他们各自的偏好模型,以偏好关系或绩效函数的形式提供决策辅助。调查结果-描述了一个正式框架,向工业DM提供信息,以使行动选择合法化。此外,DM的反馈突出显示了偏好建模所需的专业知识。实际意义-本文为工业从业人员提供了实施ELECTREIII和MACBETH进行改进措施选择的指南。原创性/价值-中小型企业可以为他们的改进措施选择找到适合的框架,以处理财务和非财务标准。有关战术决策问题的方法部署的实际考虑因素也使它更加丰富。

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