A Methodology to Integrate Artificial Intelligence with the Design Structure Matrix Approach

Chuks N. Medoh, A. Telukdarie
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Abstract

Large multinationals execute business functions based on complex Business Processes (BP). Business Units (BU) have undertaken numerous measures towards enhancing the optimization of complex BP. Intricate relationships exist in presenting the information flow of complex BP. BU employ a variety of techniques to optimize the complex relationships of BP. The Design Structure Matrix (DSM) techniques and Artificial Intelligence (AI) system present an efficient methodology for defining and optimizing collaborative BP. This research presents the applications of both approaches for complex BP modelling and management. The research results demonstrate the effectiveness of integrating AI and DSM as an enhanced decision support for optimizing complex BP.
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一种人工智能与设计结构矩阵相结合的方法
大型跨国公司执行基于复杂业务流程(BP)的业务功能。业务单位(BU)已经采取了许多措施来加强复杂BP的优化。复杂BP的信息流呈现中存在着复杂的关系。BU采用多种技术来优化BP的复杂关系。设计结构矩阵(DSM)技术和人工智能(AI)系统为定义和优化协同BP提供了一种有效的方法。本研究展示了这两种方法在复杂BP建模和管理中的应用。研究结果表明,将人工智能与需求侧管理相结合,可作为优化复杂BP的增强决策支持。
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