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Integrating System Dynamics and Enterprise Modeling to Address Dynamic and Structural Complexities of Choice Situations

机译：集成系统动态和企业建模，解决了选择情况的动态和结构复杂性

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The ability of enterprise managers to come up with the decisions leading to the best outcome for the enterprise is hampered by their cognitive limits in understanding and addressing the dynamic and structural complexities residing in choice situations. Dynamic complexities deal with the behavior of the enterprise and its environment over time. Structural complexities, on the other hand, arise from the number of the departments within the enterprise, their interactions and the interactions between the enterprise and the entities across its boundary. The policy aiding methods developed to assist managers in the analysis of choice scenarios address these two types of complexities in separation. In this paper adopting a holistic approach, we integrate System Dynamics (SD) - a method for understanding the behavior of systems over time - and Systemic Enterprise Architecture Methodology (SEAM) - a modeling method that provides insights into how an enterprise and its interactions with other entities are structured. Integrating SD and SEAM, we present an approach to modeling, analysis and simulation of choice scenarios aiming at reducing the dynamic and structural complexities involved in the decision making process. We illustrate the applicability of our approach by applying it to an example of a choice situation in a manufacturing company.
机译：企业管理者提出了导致企业最佳结果的决策的能力受到他们认知限制的阻碍，以了解和解决居住在选择情况下的动态和结构复杂性。动态复杂性处理企业的行为及其环境随着时间的推移。另一方面，结构复杂性来自企业内部的部门的数量，他们的互动和企业之间的互动和跨越其边界的实体。政策支持方法在于协助管理人员在选择方案的分析中解决了这两种类型的分离复杂性。本文采用一种全面的方法，我们整合系统动力学（SD） - 对于理解系统的行为随时间的方法 - 与系统企业架构方法论（SEAM） - 提供洞察建模方法如何一个企业及其与互动其他实体是结构化的。集成SD和Seam，我们提出了一种旨在减少决策过程中涉及的动态和结构复杂性的选择方案建模，分析和仿真方法。我们通过将其应用于制造公司的选择情况的示例来说明我们的方法的适用性。

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