The Development and Application of Statistical Process Control Software For Higher Productivity in Manufacturing Companies
Keywords:
Statistical process monitoring, Computer-based ManufacturingAbstract
Statistical Process Control (SPC) is a numerical procedure that is widely used in performance and productivity monitoring in manufacturing companies. However, the length of time, tedium and cumbersome chat-generation processes associated with this method has necessitated the development faster and more reliable techniques for the analyses of products parameters. The objective of this work is to improve the SPC procedure by developing a faster and more accurate Computer-based Statistical Process Control (CSPC) to be used in analysing manufacturing outfits for higher productivity. The CSPC combines numerical computations, graph-generation, and interactive result presentation to produce a more reliable and a less time- consuming process. The CSPC was applied to a case study of a Coca-Cola bottling company. The net content of the beverage bottle was taken as data and analysed using the CSPC. The charts of the control limits were generated. The lower and upper values obtained for the warning and action limits of the mean chart were 47.78, 51.05, 46.97, and 51.86 respectively. Those for the range chart were 0.972, 6.466, 0.335 and 8.61respectively. The result obtained showed that the process is in control. However the process capability was less than one, indicating that the process was incapable of producing according to the specification of the operation. Strategies such as resetting and complete overhauling of filler equipment were proposed to ensure that process was in control.
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