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Optimizing ERP readiness improvements under budgetary constraints

机译:在预算约束下优化ERP的准备工作

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摘要

An organization needs to be ready before implementing a complex enterprise resource planning (ERP) system. To achieve this aim, organization has to address two questions: (1) "is the organization sufficiently ready to accept an ERP system" and (2) "what is the most cost effective plan for improving the readiness, if the organization is not sufficiently ready?". To estimate the current readiness an organization must consider the interrelationships between influential readiness factors and find the best improvement plan as a multi-objective trade-off between the two objectives of maximum readiness and lowest cost. In this paper we demonstrate how to calculate the readiness, and then solve the multi-objective optimization problem. We estimate readiness by using fuzzy cognitive maps to include all the complex causal relationships between factors. We solve the multi-objective optimization problem by using the NSGA-Ⅱ evolutionary algorithm. The final result is a set of optimal improvement plans where an organization can choose which plan suits it the best.
机译:在实施复杂的企业资源计划(ERP)系统之前,组织需要做好准备。为了实现此目标,组织必须解决两个问题:(1)“组织是否准备好接受ERP系统”和(2)“如果组织不够充分,什么是最有效的准备就绪计划?准备?”。为了估计当前的准备情况,组织必须考虑有影响的准备因素之间的相互关系,并找到最佳的改进计划,作为最大准备和最低成本这两个目标之间的多目标权衡。在本文中,我们演示了如何计算准备度,然后解决多目标优化问题。我们通过使用模糊认知图来评估准备情况,以包括因素之间的所有复杂因果关系。利用NSGA-Ⅱ进化算法解决了多目标优化问题。最终结果是一套最佳的改进计划,组织可以选择最适合自己的计划。

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