Business Processes Discovery in Halal Restaurant Kitchen Using Graph-Based Algorithm

A. Ahmadiyah, Indira Nursyamsina Hazimi, Dicky Maulana Rozi, Rizky Andre Wibisono, Donny Fitrado, M. A. Rifqi, R. Sarno, K. R. Sungkono
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引用次数: 1

Abstract

As the halal lifestyle spreads rapidly in the culinary field, a good halal SOP in the kitchen is crucially needed because there are issues such as ingredient usage in the cooking process, cooking utensils, and storage. In Indonesia, the SOP should comply with Halal Assurance System (HAS) 23000. In generating the business process model, the existing Alpha-based algorithms work best in detecting certain tasks but fail to detect the invisible non-prime task. This paper aims to apply a graph-based algorithm to address the Alpha-based algorithm's weakness to produce a good SOP in the halal restaurant kitchen. We used event logs of the cooking process and facility treatment as the input of process model discovery. The fitness and precision results confirmed that the proposed algorithm outperforms the existing Alpha-based algorithms.
基于图的清真餐厅厨房业务流程发现算法
随着清真生活方式在烹饪领域的迅速传播,一个好的清真SOP在厨房是至关重要的,因为在烹饪过程中存在诸如配料使用,烹饪器具和储存等问题。在印度尼西亚,SOP应符合清真保证体系(HAS) 23000。在生成业务流程模型时,现有的基于alpha的算法在检测特定任务时效果最好,但在检测不可见的非主要任务时效果较差。本文旨在应用基于图的算法来解决基于alpha算法的弱点,从而在清真餐厅厨房中生成一个好的SOP。我们使用烹饪过程和设施处理的事件日志作为过程模型发现的输入。适应度和精度结果证实了该算法优于现有的基于alpha的算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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