模块化企业资源规划排序问题的多准则决策方法

IF 1.9 Q3 MANAGEMENT Journal of Multi-Criteria Decision Analysis Pub Date : 2021-04-15 DOI:10.1002/mcda.1745
Silvia Carpitella, Antonella Certa, Joaquín Izquierdo, Marco La Cascia
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引用次数: 4

摘要

实施企业资源计划(ERP)系统是目前公认的最佳实践,具有广泛的业务改进可能性。以最有效的方式将这些类型的系统与业务流程集成需要尽可能地为最终用户简化,这可以通过优化关键的软件特性来实现。本文提出了一种新的多准则决策方法来解决这一问题。提出了一种基于可维护性和可用性的ERP模块划分技术,该技术可以根据可维护性和可用性将ERP模块划分为预定义和有序的类别,这是评估ERP软件中哪些模块应该优先增强的有用驱动因素。通过一个案例研究,结果证明对系统性能有全面的有益影响:改进评估将根据该方法分配给ERP模块的类别来确定。
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Multi-criteria decision-making approach for modular enterprise resource planning sorting problems

Implementing Enterprise Resource Planning (ERP) systems is currently recognized as a best practice with wide associated possibilities of business improvement for companies. Integrating these kinds of systems with business processes in the most efficient way requires to endeavour as much as possible simplifications for final users, which can be pursued by optimizing crucial software characteristics. The present article proposes a novel Multi-Criteria Decision-Making (MCDM) approach to deal with such an issue. Specifically, the ELECTRE (ELimination Et Choix Traduisant la REalité) TRI technique is suggested to assign ERP modules into predefined and ordered categories according to maintainability and usability, which are useful drivers in evaluating which module of an ERP software should be enhanced with priority. The results prove to have whole beneficial impact on system performance with relation to a case study: improvement evaluations will be identified based on the classes the ERP modules are assigned to by the method.

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来源期刊
CiteScore
4.70
自引率
10.00%
发文量
14
期刊介绍: The Journal of Multi-Criteria Decision Analysis was launched in 1992, and from the outset has aimed to be the repository of choice for papers covering all aspects of MCDA/MCDM. The journal provides an international forum for the presentation and discussion of all aspects of research, application and evaluation of multi-criteria decision analysis, and publishes material from a variety of disciplines and all schools of thought. Papers addressing mathematical, theoretical, and behavioural aspects are welcome, as are case studies, applications and evaluation of techniques and methodologies.
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