PAYBACK CALCULATION REFINEMENT OF INDUSTRIAL ROBOT APPLICATIONS

IF 0.5 Q4 ENGINEERING, MECHANICAL MM Science Journal Pub Date : 2023-10-04 DOI:10.17973/mmsj.2023_10_2023077
DAVID ZENISEK, TOMAS BROUM, MICHAL SIMON
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Abstract

The paper focuses on describing and applying a refined method of investment payback calculation related to industrial robot applications. Industrial robots play an important role in modern manufacturing companies, therefore it is important to precisely determine the investment payback of robot applications. In the first part of the paper, we introduce payback calculation theory in general and the current approaches to payback calculation of robot applications in practice. Subsequently, we point out that current approaches seem insufficient due to tracking only a limited number of costs and savings. Subsequently, we attempt to identify all identifiable costs and savings related to robotic applications, then we present a refined method to determine the payback of robot applications more precisely. The method is then applied in a case study performed in an industrial enterprise. Finally, we evaluate how significantly this refined method differs from the calculation used in practice and these findings are summarised.
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工业机器人投资回报计算精细化应用
本文重点描述并应用了一种与工业机器人应用相关的投资回报计算的改进方法。工业机器人在现代制造企业中扮演着重要的角色,因此准确确定机器人应用的投资回报是非常重要的。在本文的第一部分,我们介绍了投资回报计算的一般理论和目前的方法,投资回报计算的机器人应用在实际中。随后,我们指出,目前的方法似乎不够,因为只跟踪有限数量的成本和节省。随后,我们试图确定与机器人应用相关的所有可识别的成本和节省,然后我们提出了一种改进的方法来更精确地确定机器人应用的回报。然后将该方法应用于在工业企业中进行的案例研究中。最后,我们评估了这种改进的方法与实践中使用的计算有多大的不同,并总结了这些发现。
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来源期刊
MM Science Journal
MM Science Journal ENGINEERING, MECHANICAL-
CiteScore
1.30
自引率
42.90%
发文量
96
期刊最新文献
RECOGNITION OF OBJECT PROPERTIES BASED ON PASSIVE TRIANGULATION AND 2D CAMERA SYSTEM NON-MINIMUM PHASE SYSTEMS THE INTEGRATION OF HR INFORMATION SYSTEMS UTILIZATION IN INDUSTRIAL ENTERPRISES SUPPORTING MANUAL CONTOUR AND SURFACE PROCESSING WITH THE HELP OF AUGMENTED REALITY LINKING INFORMATION TECHNOLOGY TO THE DIGITAL ENTERPRISE PLATFORM
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