Friday, March 1, 2013

Process Improvement Plan

Running head: PROCESS IMPROVEMENT PLAN - statistical PROCESS

Process Improvement Plan - statistical Process take care of panelt Compression Lot of a Pharmaceutical Company
Manuel Pol
University of Phoenix
operations Management
OPS / 571

Process Improvement Plan - Statistical Process pull wires of Tablet Compression Lot of a Pharmaceutical Company
In the book “The Quality Toolbox”, the author – Nancy R. Tague, explain that “the Statistical Process Control (SPC) process (also called Control Chart) is a represent utilize to study how a process changes over time. This is used when tellling ongoing processes by finding and correcting problems as they extend or when predicting the expected range of outcomes from a process or when determining whether or not the process is stable (in statistical control)”.(Tague, 2004, p. 155).
The population selected for this paper is not pertaining to the Week 1 assignment, the bingle that was selected is related with lozenge condensation weight process in a Pharmaceutical Manufacturing company.
The first step is to collect the info of five comments, every 30 minutes period (reference Table number 1), for a total of twenty five periods.
The control chart selection process is based on the variety of data collected.

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I follow the Control Chart conclusiveness Tree (Figure 1) from Quality Tools web site (Syque, 2007, chap. 2). In this field is a variable data, for variable I mean data that are measure on a continuous scale. The tablet compression weight was taken in grams. Sub-groups of five observations or measurements were taken (measuring with a calibrated micrometer device) from the tablet compression machine (these were denoted as Obs 1, Obs 2, Obs 3, Obs 4 and Obs5).
The selected control chart was the “X-bar, R”, following the decision tree above mentioned (Figure 1), since the number of observation is from two to ten, in this case five observations. The X-bar and...If you want to affirm a full essay, order it on our website: Orderessay



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