HR Metrics for Employee Engagement Submitted by: Abhishek Bansal (A003) Pranav Kamath (A012) Aanchal Maria (A018) Kritika Thakur (A029) Contents INTRODUCTION ...................................................................... 3 EMPLOYEE ENGAGEMENT ...................................................... 4 HR METRIC ............................................................................ 5 HR METRICS & EMPLOYEE ENGAGEMENT .............................. 6 Annexure ......
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Standard Operating Procedure for inline Q.A‚ using Statistical Process Control charts OBJECTIVE To remove or minimize‚ cost of poor quality. SCOPE This procedure is applicable for all kind of critical points for which variable charts are being made to know about the process stability. RESPONSIBILITY 1) Q.A. Manager Q.A. Manager is responsible for allotting the critical points in a particular product to in line Q.A.’s. 2) A.Q.M. A.Q.M. is responsible for carrying out
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resistance R1 with source pressure P1. F2 is output flow through resistance R2 and flowing out at pressure P2. As the flows into and out of the tank are both influenced by the tank pressure‚ both flow resistances affect the time constant. A typical control problem would be to manipulate one flow rate (either in or out) to maintain a desired drum pressure. Variables: Controlled variable: P Manipulated variable: F2 Disturbance variable: F1 Here we develop a model that describes how the tank pressure
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Total attrition numbers of last 12 month / ( average headcount of last 12 month) *100 Different perspectives of Attrition Recruiter’s perspective Recruiter is bothered about the following aspects since he is the person who carried out the process of “procureing”‚ “processing” and finally assigning the role by matching the person with the job • Turnover rate • Quality of hire • Person – Job fit / Person – Organisation fit • New hire failure rate • Manager satisfaction • Succession planning
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Statistical Process Control Statistical Monitoring of Processes to Detect Special Causes of Variation Lecture Outline • • • • • • • Basics of Statistical Process Control Control Charts Control Charts for Attributes Control Charts for Variables Control Chart Patterns SPC with Excel Process Capability Statistical QA Approaches Statistical process control (SPC) • Monitors production process to prevent poor quality Acceptance sampling • Inspects random sample of product
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Symantec 2011 Annual Report DEAR FELLOW STOCKHOLDERS‚ Symantec ended fiscal 2011 on a strong note‚ as demonstrated by our solid performance against our key financial metrics. I am proud of our team’s execution and our accomplishments over the past few quarters. We have a unique and differentiated portfolio that spans from the endpoint to the data center‚ supporting both virtual and physical environments. We work with individual consumers all the way to the largest organizations in the world
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Statistical Process Control Video games are fun‚ famous and take up lots of time‚ but is there a process for playing videogames and can this process be both monitored and controlled to help the videogame’s players? In other words‚ can statistical methods be applied to some form of monitoring and applied to controlling a process to ensure that the process is enabling one to play a video game to their fullest potential? The goals of statistical process control involved with playing a video game
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Process control at Polaroid Basing your analysis on both quantitative and qualitative tools‚ what evidence is there that quality is getting better? Pod Weight control According to Pod Weight control chart in Appendix‚ the pod weight performance variability is within the control limit (between 2.774 - 2.835)‚ which means the process is in control. This indicates the quality is getting better since the Pod Weight defect rate is normal (Pod Weight measurement is a part of defect report issued
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Chaper 3. Statistical Process Control According to the book “Operations Management” by Russell and Taylor‚ Statistical Process Control (SPC) is defined as a statistical procedure that monitors the production process by detecting and preventing poor quality using various control charts and statistical tools. And the book also emphasizes on the importance of comprehensive training for employees in SPC to achieve its successful effect. (Taylor‚ B. & Rusell‚ R.‚ 2011) When working for Business Supporting
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Morning News (Sept. 20‚ 2012) reporter‚ "the number of pilots on sick leave was 11 pilots higher on Sept. 18‚ 2012‚ than on Sept. 18‚ 2011(1). That seems like an increase in sick leave usage". (See the bar chart graph below used to make this point). Can the same set of data be used to make opposite points in an argument? It’s not that statistics lie‚ it is more in how we present all of the available data points‚ as can see in this example regarding the alleged "sick out" of American Airlines pilots
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