派翠西網路是用於架構以及描述系統的一種塑模工具,藉由派翠西網路的性質,可以分析不同狀態所呈現的事件。然而,當派翠西網路系統過於龐大時,事件狀態的複雜度也相對地提高。在本篇論文中,我們使用布林函數提出一種新的塑模方法–BFPN(Boolean-Function Based Petri Net),建立用以描述系統中狀態轉換的BFPN-PTP(Place-Transition-Place)表,降低因事件過多所造成的高複雜度狀態,並且用以清楚地描述複雜的系統轉換過程。本文使用企業資源規劃的庫存管理系統有關的案件和自動烘衣機系統為例,藉由使用不同的建模系統,分析其優勢和弱點。
Petri Nets is a modeling tools use to build and describe system, and it used to analyze difference states of events. However, when the system is bigger, the complexity of Petri Nets will be bigger. In this paper, we proposed a new modeling scheme –BFPN (Boolean-Function Based Petri Net) by use Boolean Function, and build a BFPN-PTP (Place-Transition-Place) table to describe the state transition of system. This scheme reduces the state complexity of more events in system, and it describes the process of system states transition very clearly. This paper use enterprise resource planning of the inventory management system related cases and automatic dryers system as an example, by using different modeling systems to analyze their strengths and weaknesses.