Using Goldratt's dice-game to introduce system dynamics models and simulation analysis

O. Hilmola
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引用次数: 8

Abstract

The management approach called Theory of Constraints (TOC) suggested two decades ago that the variation of performance in dependent activities would affect within impressive manner on throughput, but as well as on the level of Work-In-Process (WIP) inventories. This became familiar with the dice-game, where dependent activities had the same average production capacity, but quite significant amount of variation. Playing this game in P/OM courses will, without a doubt, create understanding on how performance could be improved in production, and foster the deductive thinking skills of all the participating students. However, according to our experiences from seven years of P/OM lecturing, it is very beneficial to use this situation to introduce simulation concepts. For example, building a system dynamics model from dice-game is rather easy, and analysing, as well as understanding the simulation results, becomes significantly interesting for all students in the audience, since they all share connection to this model. Within two hours of lecture, students have absorbed the main issues of manufacturing flow management and system dynamics simulation models. We argue that this is a powerful formula for P/OM lecturers to be used in future courses.
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利用Goldratt的骰子游戏引入系统动力学模型和仿真分析
被称为约束理论(TOC)的管理方法在二十年前提出,依赖活动的性能变化会以令人印象深刻的方式影响吞吐量,但也会影响在制品(WIP)库存水平。这与骰子游戏很相似,在骰子游戏中,相互依赖的活动具有相同的平均生产能力,但差异很大。毫无疑问,在P/OM课程中玩这个游戏,将使学生了解如何在生产中提高性能,并培养所有参与学生的演绎思维能力。然而,根据我们7年的P/OM讲座经验,利用这种情况引入仿真概念是非常有益的。例如,从骰子游戏中建立一个系统动力学模型是相当容易的,分析和理解模拟结果对所有观众中的学生来说都变得非常有趣,因为他们都与这个模型有联系。在两个小时的讲座中,学生们吸收了制造流程管理和系统动力学仿真模型的主要问题。我们认为这是P/OM讲师在未来课程中使用的一个强有力的公式。
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