AN INTEGRATED MODEL TO SELECT AN ERP SYSTEM FOR CHINESE SMALL- AND MEDIUM-SIZED ENTERPRISE UNDER UNCERTAINTY
提出一种集成改进德尔菲法、层次分析法、模糊综合评价和灰色关联分析的算法，用于在模糊和不确定性下为中国中小企业选择最合适的ERP系统，并通过案例验证。
Enterprise Resource Planning (ERP) system is a vital investment that can significantly affect future competitiveness and performance of small- and medium-sized enterprises (SMEs). Selecting the best desirable ERP software covering both qualitative and quantitative factors has been the most critical problem for a long time. On the other hand, multiple criteria decision making has been found to be a useful approach to analyze conflicting factors. Qualitative criteria are often accompanied by ambiguities and vagueness. This makes fuzzy and grey logic become more natural approaches to handle this kind of problem. This paper presents a new approach for the selection of SME-specific ERP systems. Firstly, criteria for SMEs in China to evaluate the most suitable ERP system are put forward using group-discussing and anonymous questionnaire methods. An effective and practical algorithm, which is integrated of modified Delphi, analytic hierarchy process, fuzzy comprehensive evaluation and grey relational analysis, is utilized to convert the qualitative description to quantitative data to select the most appropriate alternative in the presence of vagueness and uncertainty. Finally, the potential use of the proposed model is illustrated through a case study.