本研究乃針對多站連續性生產型態之製程,探討多站連續性的生產線在不同機器設備,其影響工時之各種因素間的關係。這類生產型態已大量運用在製造產業中,由於一般生產線都由多站所組成,故容易導致生產線的瓶頸站飄移,進而造成生產規劃的困擾。因此,提出一套此類生產型態之標準工時預測模式,將能應用在生產規劃及現場績效之衡量。模式建構方面,本研究以個案公司之SMT製程為例,針對不同製程站別間與影響工時之因素,藉由迴歸分析提供標準工時預測模式,並以平均絕對偏差與均方差平方根兩項指標進行評估。此迴歸分析建構標準工時方式,將取代個案預測標準工時之量測方式,並提升工時預測的速度與準確性。此標準工時模式的建構,期望可提供業界量測之參考。
This research is focus on the working hour correlation with different station which based on consecutively multi-stage production system. This kind of production type has applied in manufacturing industry for a long while and it is easy to result in the alterable bottleneck-shifting then disturbance production planning. Therefore, this thesis attempts to raise a forecast model of standard production time which applies to the evaluation of production planning and on-site productively. In this case, we applied the method of regression analysis to determine the interruption factors of working hour between each stage; the MAD and RMSE indicators also applied for the standard working hour evaluation. The obtained results can be adopted as references for the measurement of standard time.