資訊建模是資訊系統建模過程的重要部分，模型經歷不同階段的詳細說明，從對資訊系統的一般需求到在實施階段直接使用的半可執行模型。
資訊建模方法
在異質供應鏈環境中，了解資訊流和處理功能對於任何決策建模工作都是必要的。傳統上，這些資訊流是以特定於特定決策建模技術的術語來描述的。然而，在異質供應鏈環境中，這導致了多樣性和不相容的數據定義。因此，需要一種更統一的方法來表示資訊流和它們的處理功能。長期以來用於資訊系統開發的資訊建模技術非常適合這些目的。供應鏈管理是決策科學和信息系統工程之間相互作用最深刻的領域。在沒有信息系統的支持下，決策的實施是不可能的，而僅僅擁有信息系統而沒有決策組件已經不足以保持競爭優勢。
關鍵詞：供應鏈、統一建模語言、資訊建模、類別圖、企業資源規劃系統
資訊建模方法是一種將資訊流和處理功能統一表示的方法。這在異質供應鏈環境中尤為重要，因為它能夠消除不相容的數據定義，確保決策模型的一致性。資訊建模方法通常使用統一建模語言（UML）來創建類別圖，以描述資訊流的結構和關係。這有助於供應鏈管理中的決策制定和實施。
企業資源規劃系統（ERP）是一種常用的信息系統，它將不同部門和業務過程的信息整合在一起。資訊建模方法可以用於設計和實施ERP系統，以確保信息在不同部門之間的順暢流動和溝通。這有助於提高供應鏈的效率和協調性。
總結：資訊建模方法是一種統一表示資訊流和處理功能的方法。它在異質供應鏈環境中特別重要，能夠消除不相容的數據定義，確保一致的決策模型。此方法通常使用UML創建類別圖，以描述資訊流的結構和關係。在企業資源規劃系統的設計和實施中，資訊建模方法也起著重要的作用，確保信息在不同部門之間的順暢流動和溝通。
折疊內容
Information modeling is a key part of the information systems modeling process, where models undergo different phases of elaboration starting with general requirements for information systems down to semi- executable models directly used in the implementation phase.
Information Modeling Approaches
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AbstractAn understanding of information flows and processing functions is essential for any decision-modeling effort. Traditionally, these information flows are described in terms that are specific to particular decision-modeling techniques. However, in the heterogeneous supply chain environment, that results in largely diverse and often incompatible data definitions. Therefore, a more unified approach to representing information flows and their processing functions is required. Information modeling techniques long-used for information systems development are well-suited for these purposes. Supply chain management is an area where interactions between Decision Sciences and Information Systems Engineering are most profound. Implementation of decisions is not possible without information systems support, and information systems alone without decision-making components are no longer sufficient to maintain a competitive advantage.KeywordsSupply ChainUnify Modeling LanguageInformation ModelingClass DiagramEnterprise Resource Planning SystemThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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