cvr9999

The 80-20 ( trivial many vital few) and Theory of constraints are 2 different tools which compliments each other. Theory of constraints is a tool used for identifying the process inefficienies and find the constraints or bottlenecks in achieving the desired results or improving the process from present state to desired state. Once the constraints are identified ,the effect of each constraint on the process to be studied for achieving the end result.Once the effect of each constraint is quantified,the 80--20 tool is used to get best output with less work.As one of the respondent pointed out to identify 80-20 the Pareto chart is the best tool utilised. So these both tools are not the same,both important tools to achieve the best results in problem solving.

Dear Mr.Rellora, From the explanation and the data, the first step is to find out what is the present Zst value of the process. The Likert data numbers cannot be taken as values, so one way of analysisng is that the values other than satisfactory and very satisfactory as rejections means we have two conditions. 1.passed and other failed. By using this we can calculate the process yield>Yrty=+Y of OS*Y of B TATA*Y ofAcc*Yof Adhrnc =(19/24)(18/24)(19/24)(22/24)=0.430881 Yna= Yrty *exp1/4 = 0.553262 DPMO = 446737 So ZLT=0.1 Z st=1.5+0.1 =1.6 Which means the process is not satisfactory and needs improvement. You have to set your targets for improvement and look at the base data and analyse the customer data to improve process Zst. You may use proper tools for analysing the data.

Dear Mr. Rellora, I am from manufacturing specilisation so I am new to the terms you are refering to. What is B TATA? when the accuracy rate is given what the limits considered? What are the limits for adherence? Have you any customer specified or business specific limits? What are the targets of company interms of satisfied customers,Very satified customers. Once you set the targets or goals, verify the raw data of each customer like attending time/response,appropriateness of data. Take those parameters and make your analysis. The above table is only starting point to decide on how to set targets and go back to the base data for improvements. Regards C V rajulu