基于模糊TOPSIS的ITSM软件选择方法

Saeed Rouhani, Ahad Zare Ravasan
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引用次数: 16

摘要

如今,对信息技术服务管理(ITSM)日益增长的兴趣证明了其在组织中实施的趋势和需求。为了在组织中成功地实现ITSM项目,选择合适的ITSM软件是必不可少的。ITSM软件包的评估和选择是一个复杂而耗时的决策过程。本文提出了一种处理这类问题的方法。介绍了ITSM软件选择的功能评价法、非功能评价法和模糊评价法。所提出的基于ITIL的方法将ITSM软件选择标准分为两大类,即功能需求(服务策略、服务设计、服务转换、服务操作、根据ITIL V3进行的持续服务改进)和非功能需求(质量、技术、供应商、实现),总共包括46个选择标准。针对ITSM软件的选择问题,提出了一种基于理想解相似度的模糊排序算法。将所提出的方法应用于伊朗当地一家IT服务领域的公司,以选择和获取ITSM软件,所提供的数值示例说明了该方法对ITSM软件选择的适用性。该方法可以帮助从业者更正确地评估ITSM软件,并在客户满意度和服务时间减少的情况下做出更好的软件获取决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Fuzzy TOPSIS based Approach for ITSM Software Selection
Nowadays a growing interest in Information Technology Service Management (ITSM) proves the trends and needs of their implementation in organizations. In order to implement an ITSM project successfully in an organization, it is essential to select a suitable ITSM software. Evaluation and selection of the ITSM software packages is complicated and time consuming decision making process. This paper presents an approach for dealing with such a problem. This approach introduces functional, non-functional and fuzzy evaluation method for ITSM software selection. The presented ITIL based approach breaks down ITSM software selection criteria into two broad categories namely functional (service strategy, service design, service transition, service operation, continual service improvement according to ITIL V3) and non-functional requirements (quality, technical, vendor, implementation) including totally 46 selection criteria. A facile Fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS) was customized for ITSM software selection based on identified criteria. The proposed approach is applied to a local Iranian company in the field of IT services in order to select and acquire an ITSM software and the provided numerical example illustrates the applicability of the approach for ITSM software selection. The approach can help practitioners assess ITSM software more properly and have a better software acquisition decision with growth in customer satisfaction and service time reduction.
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