N.E.W.S » How to Clean Concrete Pavers?

One of the valuable tools in the Six Sigma toolbox is Design of Experiments. Design of Experiment (DOE) is a structured technique that helps to uncover relationships often hidden inside mountains of data. Within the structure of a Six Sigma project Justin Bailey Jersey , Design of Experiments is a structured approach to identifying the factors within a process that contribute to particular effects, then creating meaningful tests that verify possible improvement ideas or theories.


Most of us are familiar with the concept of experimentation within the fields of science and medicine. Experiments can be designed and conducted for any process in any field not just testing physics equations or new drugs or medical procedures. Design of Experiments is a formal statistical methods required to ensure that the testing or piloting of any new improvement ideas maximize the informational potential of the trial and ultimately the return to the business. The basic principles of cause and effect and interaction of factors operate everywhere, including manufacturing and service organizations. Design of Experiments is an organized method for determining the relationships between factors that affect a process and the variable outputs of that process. It also serves to verify if a cause and effect relationship really does exist and to identify the vital few causes of variation.


In short, Design of Experiments within Six Sigma is a performance improvement methodology that uses sophisticated statistical techniques to understand and control variation, thus improving predictability of business processes. Experimental methods are used to quantify previously undefined factors and interactions between factors. This is accomplished through crafting planned experiments where controlled changes of factors will determine which factors have the largest impact on quality characteristics. Though the systematic observance of the experiments and statistical measurements of the results Ryan O'Reilly Jersey , useful data can be assembled and analyzed to understand the relative importance of different factors to overall process variability.


The basic concepts of Design of Experiments are factors, levels, and responses. A factor is an independent variable. In a planned experiment, the factors are deliberately varied in a predetermined manner. A level is a state of the factor that is deliberately varied. Levels can be discrete (presentabsent) or numeric. Experimentation is typically done at two, or occasionally three levels for every factor; each separate level constituting an experimental run. The responses Benoit Pouliot Jersey , literally the results of the experimental runs, are measured at each run of each factor-level combination. The response can also be discrete or numerical values.


An efficient experimental design varies the multiple factors in an intelligent and controlled sequence. Response data can then be collected in an intelligible way.


Combining all factors and their levels can become too large and expensive of a task, so informed deductions must be made as to which factors will generate the most pertinent data that will provide enough information for confident results. The sequence of runs in the experiment must be randomized. Randomization is crucial to give all external factors an equal chance to affect every run of the experiment. A non-randomized experiment stands a great risk of external factors acting in a systematic manner, adding noise to the response. Multiple sets of experimental runs, called replication Rasmus Ristolainen Jersey , will provide more data and greater confidence in evaluating the results. If the budget allows, conducting more replications is desirable.


Successfully designed experiments will show the relationship between the change in level of each of the factors and the change in response. Once these relationships are understood, they can be used to find "what's best" solutions to process improvement and variation reduction. Design of Experiments is a crucial part of the Six Sigma methodology. It will allow you to see into the heart of the process and what really drives it.


Peter Peterka is President of Six Sigma us. For additional information on Six Sigma Black Belt or Minitab programs contact Peter Peterka

Does your patio pavers, stone path, driveway Robin Lehner Jersey , garage floor, or other concrete area have ugly stains?


Concrete patios are durable, versatile and affordable, making them one of the best options for finishing an outdoor lounge area. However, as time passes the porous surface of the concrete can collect dirt Zemgus Girgensons Jersey , grime, mildew, and algae begin to show signs of discoloration.


Why You Should Clean Pavers?


First of all, a paver installation is not a cheap investment. It takes a lot of time and a decent amount of money to install them. It is completely unfair to leave such an important aesthetic feature to let fade and stain.


Pavers are susceptible to all of nature鈥檚 elements, including freezing temperatures Sam Reinhart Jersey , sun, humidity, and months of rain. Moreover, those beautiful sidewalks of your home are constantly walked, driven Johan Larsson Jersey , or leaked on by your vehicles. Without the proper maintenance, your beautiful pavers can quickly become stained and worn from oil, chemicals, and more.


If you don't want to spend thousands on restorations every few years, take the time to clean your pavers and save yourself the frustration!


How to Clean Concrete Pavers?


You may find yourself confused a