A REPORT ON 5W’S AND 1H (ROOT CAUSE AND PROBLEM SOLVING) BY RITURAJ ROY 2009A4PS333P FOR LEAN MANUFACTURING (MF C418) (BIRLA INSTITUTE OF TECHNOLOGY& SCIENCE‚ PILANI) ACKNOWLEDGEMENT Any accomplishment requires the effort of many people and this work is no different. I would like to acknowledge each and every one whose efforts were indispensible through this medium. I am grateful to everyone who has taken great pains to make this project report a success. I thank‚ the Almighty
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Academic study of problem solving and thinking related to everyday life Every day individuals are faced with many different problems for example deciding what to wear‚ finding a suitable place to park your car or even completing an assignment. Whatever the problem is‚ ‘problem solving is defined as any goal-directed sequence of cognitive operations’‚ as suggested by Anderson (1980‚ p.257). There has been a vast amount of research on human problem solving which has provided a better understanding
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EMSE 269 - Elements of Problem Solving and Decision Making EXTRA PROBLEM 6: SOLVING DECISION TREES Read the following decision problem and answer the questions below. A manufacturer produces items that have a probability p of being defective. These items are formed into batches of 150. Past experience indicates that some (batches) are of good quality (i.e. p=0.05) and others are of bad quality (i.e. p=0.25). Furthermore‚ 80% of the batches produced are of good quality and 20% of the batches are
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Problem 2.22: a. Formulate an LP model for this problem X1 = quantity of ornate‚ decorative wood frame doors produced X2 = quantity of windows produced Max Total Profit: 500X1+400X2 X1+0.5*X2≤40 0.5*X1+0.75*X2≤40 0.5 X1+X2≤60 X1‚ X2≥0 b. Sketch the feasible region Please refer to the graph below c. What is the optimal solution After calculations using solver in excel‚ we figure out that the max total profit available is $26‚000.00‚ when produce a mix of 20 units of doors and 40 units of windows
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regression model Practice problems Use Chapter 4 Powerpoint question 4.1 to answer the following questions: 1. Report the Eveiw output for regression model . Please write down your fitted regression model. 2. Are the sign for consistent with your expectation‚ explain? 3. Hypothesize the sign of the coefficient and test your hypothesis at 5% significance level using t-table. 4. What percentage of variation in 30 year fixed mortgage rate is explained by this model? Why?
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How does confirmation bias and fixation interfere with effective problem solving? Confirmation bias refers to a type of selective thinking where one tends to notice and to look for what confirms one’s beliefs. It can be difficult to encounter something or someone without having a preconceived opinion. You only see one way to approach a problem or idea‚ and that’s your way. As a result‚ this bias can often result in faulty decision making‚ because one-sided information tends to leave you without
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Solving Homelessness Nationwide homelessness is a growing epidemic across the country. There are many ways an individual can become homeless‚ for the most part it is poverty. There are also different concentrations of homeless in different types of environments‚ such as urban or suburban areas. Last‚ there is the ever-growing homeless population‚ and how much money it costs us for others to live in poverty. A way we can help find the solution to this problem‚ is to know the facts about this lingering
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artisan (road side technician) field information technology provide solution to problems or faults in a computer system and the methods used by graduate of information technology of the university of education Winneba‚ Ghana This report shows the analysis of how the both (artisan/graduate) will troubleshoot the computer system‚ the tools to be used and how the solution will be provided PROBLEM STATEMENT The Problems Or Fault That Will Be Used For The Analysis Is: BSOD Fault BSOD
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Programming Design in Solving Biology Problems Semester 1‚ 2011/2012 Elankovan Sundararajan School of Information Technology Faculty of Information Science and Technology TR 3923 Elankovan Sundararajan 1 Lecture 3 System of Linear Equations TR 3923 Elankovan Sundararajan 2 Introduction • Solving sets of linear equations is the most frequently used numerical procedure when real-world situations are modeled. modeled Linear equations are the basis for mathematical models of 1. 2. 2 3
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come in a wide range of variety as of today. Different ages has been playing puzzles to reduce stress or even for entertainment. Playing logical puzzles will help in focusing on reasoning and sequencing. This benefit of play will improve a person’s solving abilities‚ concentrating on numbers and patterns‚ logic and sequencing. One of these puzzles is Sudoku. Sudoku‚ or Su Doku‚ is the name for a maddeningly addictive Japanese number logic puzzle which has become a bona fide craze in the United States
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