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USING QUEUING SIMULATION MODEL IN PRODUCTION PROCESS INNOVATIONS

机译:在生产过程创新中使用排队仿真模型

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摘要

Investment decision dilemmas were since late 60's of previous century interesting for research from the perspective of financial dilemmas, while later, with arising uncertainty and dynamic of business environments, stochastic decisions problems needed more in-depth and complex considerations. High technology flexibility and multiple variation production process with significant losses related to resetting machine on one hand and great investment costs for new technology on the other hand, makes technology investment decisions in contemporary business environment multifarious. In this paper, we are presenting the case of optimizing investment decision dilemma in multiple variation production process. Using a discrete event simulation model we test two alternatives regarding the impact on predefined production indicators: 1) optimal grouping of the different products on an existing machine, 2) additional identical machine and optimal sorting of products between the existing and additional machine. In the paper, we determine indicators that should be monitored in investment decision dilemmas and design simulation model that can be used to calculate aforementioned indicators.
机译:自2019年末以来,投资决定困境是从金融困境的角度来看,在经济困境的角度下,在后来的经济环境下,随着商业环境的不确定性和动态,随机决策问题需要更多的深入和复杂的考虑因素。高科技灵活性和多种变化生产过程,与重置机器一方面有关的重大损失,另一方面对新技术的投资成本进行了大量的投资成本,使技术投资决策在当代商业环境中进行多种多样。在本文中,我们在多种变异生产过程中优化投资决策困境的情况。使用离散事件仿真模型,我们测试了有关预定义生产指标的影响的两个替代方案:1)现有机器上不同产品的最佳分组,2)附加相同的机器和现有和附加机器之间的产品的最佳分类。在论文中,我们确定应在投资决定困境和设计模拟模型中监测的指标,这些模拟模型可用于计算上述指标。

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