Taguchi Definition Quality

Taguchi Definition Quality TAGUCHIS DEFINITION OF QUALITY The old traditional definition of quality states quality is conformance to specifications. This definition was expanded by Joseph M. Juran (1904-) in 1974 and then by the American Society for Quality Control (ASQC) in 1983. Juran observed that quality is fitness for use. The ASQC defined quality as the totality of features and characteristics of a product or service that bear on its ability to satisfy given needs. Taguchi presented another definition of quality. His definition stressed the losses associated with a product.. It must be kept in mind here that society includes both the manufacturer and the customer. Loss associated with function variability includes, for example, energy and time (problem fixing), and money (replacement cost of parts). Losses associated with harmful side effects could be market shares for the manufacturer and/or the physical effects, such as of the drug thalidomide, for the consumer. TAGUCHIS LOSS FUNCTION Taguchis quality philosophy strongly emphasizes losses or costs. W. H. Moore asserted that this is an enlightened approach that embodies three important premises: for every product quality characteristic there is a target value which results in the smallest loss; deviations from target value always results in increased loss to society; [and] loss should be measured in monetary units (dollars, pesos, francs, etc.). depicts Taguchis typically loss function. The figure also contrasts Taguchis function with the traditional view that states there are no losses if specifications are met. It can be seen that small deviations from the target value result in small losses. These losses, however, increase in a nonlinear fashion as deviations from the target value increase. Where L(Y) is the expected loss associated with the specific value of Y. Essentially, this equation states that the loss is proportional to the square of the deviation of the measured value, Y, from the target value, T. This implies that any deviation from the target (based on customers desires and needs) will diminish customer satisfaction. This is in contrast to the traditional definition of quality that states that quality is conformance to specifications. It should be recognized that the constant k can be determined if the value of L(Y) associated with some Y value are both known. Of course, under many circumstances a quadratic function is only an approximation. Since Taguchis loss function is presented in monetary terms, it provides a common language for all the departments or components within a company. Finally, the loss function can be used to define performance measures of a quality characteristic of a product or service. This property of Taguchis loss function will be taken up in the next section. But to anticipate the discussion of this property, Taguchis quadratic function can be converted to: This can be accomplished by assuming Y has some probability distribution with mean, a and variance o.2 This second mathematical expression states that average or expected loss is due either to process variation or to being off target (called bias), or both. TAGUCHI, ROBUST DESIGN, AND THE DESIGN OF EXPERIMENTS Taguchi asserted that the development of his methods of experimental design started in Japan about 1948. These methods were then refined over the next several decades. They were introduced in the United States around 1980. Although, Taguchis approach was built on traditional concepts of design of experiments (DOE), such as factorial and fractional factorial designs and orthogonal arrays, he created and promoted some new DOE techniques such as signal-to-noise ratios, robust designs, and parameter and tolerance designs. Some experts in the field have shown that some of these techniques, especially signal-to-noise ratios, are not optimal under certain conditions. Nonetheless, Taguchis ideas concerning robust design and the design of experiments will now be discussed. DOE is a body of statistical techniques for the effective and efficient collection of data for a number of purposes. Two significant ones are the investigation of research hypotheses and the accurate determination of the relative effects of the many different factors that influence the quality of a product or process. DOE can be employed in both the product design phase and production phase. A crucial component of quality is a products ability to perform its tasks under a variety of conditions. Furthermore, the operating environmental conditions are usually beyond the control of the product designers, and, therefore robust designs are essential. Robust designs are based on the use of DOE techniques for finding product parameter settings (e.g., temperature settings or drill speeds), which enable products to be resilient to changes and variations in working environments. . To achieve economical product quality design, Taguchi proposed three phases: system design, parameter design, and tolerance design. In the first phase, system design, design engineers use their practical experience, along with scientific and engineering principles, to create a viably functional design. To elaborate, system design uses current technology, processes, materials, and engineering methods to define and construct a new system. The system can be a new product or process, or an improved modification of an existing product or process. . EXAMPLES AND CONCLUSIONS As Thomas P. Ryan has stated, Taguchi at the very least, has focused our attention on new objectives in achieving quality improvement. The statistical tools for accomplishing these objectives will likely continue to be developed. Quality management gurus, such as W. Edwards Deming (1900-1993) and Kaoru Ishikawa (1915-), have stressed the importance of continuous quality improvement by concentrating on processes upstream. This is a fundamental break with the traditional practice of relying on inspection downstream. Taguchi emphasized the importance of DOE in improving the quality of the engineering design of products and processes. As previously mentioned, however, his methods are frequently statistically inefficient and cumbersome. Nonetheless, Taguchis design of experiments have been widely applied and theoretically refined and extended. Two application cases and one refinement example will now be discussed. Taguchi methods Taguchi methods are statistical methods developed by Genichi Taguchi to improve the quality of manufactured goods, and more recently also applied to, engineering, biotechnology, marketing and advertising. Professional statisticians have welcomed the goals and improvements brought about by Taguchi methods, particularly by Taguchis development of designs for studying variation, but have criticized the inefficiency of some of Taguchis proposals. Off-line quality control Taguchis rule for manufacturing Taguchi realized that the best opportunity to eliminate variation is during the design of a product and its manufacturing process. Consequently, he developed a strategy for quality engineering that can be used in both contexts. The process has three stages: System design Parameter design Tolerance design System design This is design at the conceptual level, involving creativity and innovation. Parameter design Once the concept is established, the nominal values of the various dimensions and design parameters need to be set, the detail design phase of conventional engineering. Taguchis radical insight was that the exact choice of values required is under-specified by the performance requirements of the system. In many circumstances, this allows the parameters to be chosen so as to minimize the effects on performance arising from variation in manufacture, environment and cumulative damage. This is sometimes called robustification. Tolerance design With a successfully completed parameter design, and an understanding of the effect that the various parameters have on performance, resources can be focused on reducing and controlling variation in the critical few dimensions Taguchi Method Design of Experiments The general steps involved in the Taguchi Method are as follows: 1. Define the process objective, or more specifically, a target value for a performance measure of the process. This may be a flow rate, temperature, etc. The target of a process may also be a minimum or maximum; for example, the goal may be to maximize the output flow rate. The deviation in the performance characteristic from the target value is used to define the loss function for the process. 2. Determine the design parameters affecting the process. Parameters are variables within the process that affect the performance measure such as temperatures, pressures, etc. that can be easily controlled. The number of levels that the parameters should be varied at must be specified. For example, a temperature might be varied to a low and high value of 40 C and 80 C. Increasing the number of levels to vary a parameter at increases the number of experiments to be conducted. 3. Create orthogonal arrays for the parameter design indicating the number of and conditions for each experiment. The selection of orthogonal arrays is based on the number of parameters and the levels of variation for each parameter, and will be expounded below. 4. Conduct the experiments indicated in the completed array to collect data on the effect on the performance measure. 5. Complete data analysis to determine the effect of the different parameters on the performance measure. A detailed description of the execution of these steps will be discussed next. Determining Parameter Design Orthogonal Array The effect of many different parameters on the performance characteristic in a condensed set of experiments can be examined by using the orthogonal array experimental design proposed by Taguchi. Once the parameters affecting a process that can be controlled have been determined, the levels at which these parameters should be varied must be determined. Determining what levels of a variable to test requires an in-depth understanding of the process, including the minimum, maximum, and current value of the parameter. If the difference between the minimum and maximum value of a parameter is large, the values being tested can be further apart or more values can be tested. If the range of a parameter is small, then less values can be tested or the values tested can be closer together. For example, if the temperature of a reactor jacket can be varied between 20 and 80 degrees C and it is known that the current operating jacket temperature is 50 degrees C, three levels might be chosen at 20, 50, and 80 degrees C. Also, the cost of conducting experiments must be considered when determining the number of levels of a parameter to include in the experimental design. In the previous example of jacket temperature, it would be cost prohibitive to do 60 levels at 1 degree intervals. Typically, the number of levels for all parameters in the experimental design is chosen to be the same to aid in the selection of the proper orthogonal array. Knowing the number of parameters and the number of levels, the proper orthogonal array can be selected. Using the array selector table shown below, the name of the appropriate array can be found by looking at the column and row corresponding to the number of parameters and number of levels. Once the name has been determined (the subscript represents the number of experiments that must be completed), the predefined array can be looked up. Links are provided to many of the predefined arrays given in the array selector table. These arrays were created using an algorithm Taguchi developed, and allows for each variable and setting to be tested equally. For example, if we have three parameters (voltage, temperature, pressure) and two levels (high, low), it can be seen the proper array is L4. Clicking on the link L4 to view the L4 array, it can be seen four different experiments are given in the array. The levels designated as 1, 2, 3 etc. should be replaced in the array with the actual lev el values to be varied and P1, P2, P3 should be replaced with the actual parameters (i.e. voltage, temperature, etc.) Array Selector Important Notes Regarding Selection + Use of Orthogonal Arrays Note 1 The array selector assumes that each parameter has the same number of levels. Sometimes this is not the case. Generally, the highest value will be taken or the difference will be split. The following examples offer insight on choosing and properly using an orthogonal array. Examples 1 and 2 focus on array choice, while Example 3 will demonstrate how to use an orthogonal array in one of these situations. Example 1: # Parameter: A, B, C, D = 4 # Levels: 3, 3, 3, 2 = ~3 Array: L9 Example 2: # Parameter: A, B, C, D, E, F = 6 # Levels: 4, 5, 3, 2, 2, 2 = ~3 Array: modified L16 Example 3: A reactors behavior is dependent upon impeller model, mixer speed, the control algorithm employed, and the cooling water valve type. The possible values for each are as follows: Impeller model: A, B, or C Mixer speed: 300, 350, or 400 RPM Control algorithm: PID, PI, or P Valve type: butterfly or globe There are 4 parameters, and each one has 3 levels with the exception of valve type. The highest number of levels is 3, so we will use a value of 3 when choosing our orthogonal array. Using the array selector above, we find that the appropriate orthogonal array is L9: When we replace P1, P2, P3, and P4 with our parameters and begin filling in the parameter values, we find that the L9 array includes 3 levels for valve type, while our system only has 2. The appropriate strategy is to fill in the entries for P4=3 with 1 or 2 in a random, balanced way. For example: Here, the third value was chosen twice as butterfly and once as global. Note 2 If the array selected based on the number of parameters and levels includes more parameters than are used in the experimental design, ignore the additional parameter columns. For example, if a process has 8 parameters with 2 levels each, the L12 array should be selected according to the array selector. As can be seen below, the L12 Array has columns for 11 parameters (P1-P11). The right 3 columns should be ignored. Analyzing Experimental Data Once the experimental design has been determined and the trials have been carried out, the measured performance characteristic from each trial can be used to analyze the relative effect of the different parameters. To demonstrate the data analysis procedure, the following L9 array will be used, but the principles can be transferred to any type of array. In this array, it can be seen that any number of repeated observations (trials) may be used. Ti,j represents the different trials with i = experiment number and j = trial number. It should be noted that the Taguchi method allows for the use of a noise matrix including external factors affecting the process outcome rather than repeated trials, but this is outside of the scope of this article. To determine the effect each variable has on the output, the signal-to-noise ratio, or the SN number, needs to be calculated for each experiment conducted. The calculation of the SN for the first experiment in the array above is shown below for the case of a specific target value of the performance characteristic. In the equations below, yi is the mean value and si is the variance. yi is the value of the performance characteristic for a given experiment. {SN_{i}}=10logfrac{bar{y_{i}}^2}{{s_{i}}^2} Where bar y_{i}=frac {1}{N_{i}}sum_{u=1}^{N_{i}}y_{i,u} s_{i}^2=frac {1}{N_{i}-1}sum_{u=1}^{N_{i}}left ( y_{i,u}-bar y_{i} right ) i = Experiment;number u=Trial;number N_{i}=Number;of;trials;for;experiment;i For the case of minimizing the performance characteristic, the following definition of the SN ratio should be calculated: {SN_{i}}=-10logleft(sum_{u=1}^{N_{i}}frac{y_{u}^2}{N_{i}}right) For the case of maximizing the performance characteristic, the following definition of the SN ratio should be calculated: {SN_{i}}=-10logleft[frac{1}{N_{i}}sum_{u=1}^{N_{i}}frac{1}{y_{u}^2}right] After calculating the SN ratio for each experiment, the average SN value is calculated for each factor and level. This is done as shown below for Parameter 3 (P3) in the array: {SN_{color{red}P3,1}}=frac{(S_{N1}+S_{N6}+S_{N8})}{3},! {SN_{color{blue}P3,2}}=frac{(S_{N2}+S_{N4}+S_{N9})}{3},! {SN_{color{green}P3,3}}=frac{(S_{N3}+S_{N5}+S_{N7})}{3},! Once these SN ratio values are calculated for each factor and level, they are tabulated as shown below and the range R (R = high SN low SN)of the SN for each parameter is calculated and entered into the table. The larger the R value for a parameter, the larger the effect the variable has on the process. This is because the same change in signal causes a larger effect on the output variable being measured. Problems Problem: You have just produced one thousand 55 gallon drums of sesame oil for sale to your distributors. However, just before you are to ship oil, one of your employees remembers that one of the oil barrels was temporarily used to store insecticide and is almost surely contaminated. Unfortunately, all of the barrels look the same. One barrel of sesame oil sells for $1000, while each assay for insecticide in food oil costs $1200 and takes 3 days. Tests for insectide are extremely expensive. What do you do? Solution: Extreme multiplexing. This is similar to using a Taguchi method but optimized for very sparse systems and specific cases. For example, instead of 1000 barrels, let us consider 8 barrels for now, one of which is contaminated. We could test each one, but that would be highly expensive. Another solution is to mix samples from each barrel and test the mixtures. Mix barrels 1,2,3,4 > Sample A Mix barrels 1,2,5,6 > Sample B Mix barrels 1,3,5,7 > Sample C We claim that from testing only these three mixtures, we can determine which of the 8 barrels was contaminated. Let us consider some possible results of these tests. We will use the following label scheme: +/-,+/-,+/- in order of A, B, C. Thus, +,-,+ indicates A and C showed contamination but not B. Possible Result 1: -,-,- The only barrel not mixed in was #8, so it is contaminated. Possible Result 2: +,-,- Barrel #4 appears in A, but not in B and C. Since only A returned positive, barrel #4 was contaminated. Possible Result 3: -,+,- Barrel #6 appears in B, but not in A and C. Since only B returned positive, barrel #6 was contaminated. We can see that we have 23 = 8 possible results, each of which corresponds to a particular barrel being contaminated. We leave the rest of the cases for the reader to figure out. Solution with 1,000 barrels: Mix samples from each barrel and test mixtures. Each mixture will consist of samples from a unique combination of 500 barrels. Experiments required = log2 (1000) =~10. Solution with 1,000,000 barrels: Experiments required = log2(1000000)=~20. Thus, by using extreme multiplexing, we can greatly reduce the # of experiments needed, since the # of experiments scales with log2(# of barrels) instead of # of barrels. Worked out Example A microprocessor company is having difficulty with its current yields. Silicon processors are made on a large die, cut into pieces, and each one is tested to match specifications. The company has requested that you run experiments to increase processor yield. The factors that affect processor yields are temperature, pressure, doping amount, and deposition rate. a) Question: Determine the Taguchi experimental design orthogonal array. The operating conditions for each parameter and level are list A: Temperature A1 = 100 ºC A2 = 150 ºC (current) A3 = 200 ºC B: Pressure B1 = 2 psi B2 = 5 psi (current) B3 = 8 psi C: Doping Amount C1 = 4% C2 = 6% (current) C3 = 8% D: Deposition Rate D1 = 0.1 mg/s D2 = 0.2 mg/s (current) D3 = 0.3 mg/s a) Solution: The L9 orthogonal array should be used. The filled in orthogonal array should look like this: This setup allows the testing of all four variables without having to run 81 [=34=(3 Temperatures)(3 Pressures)(3 Doping Amounts)(3 Deposition rates)] separate trials. b) Question: Conducting three trials for each experiment, the data below was collected. Compute the SN ratio for each experiment for the target value case, create a response chart, and determine the parameters that have the highest and lowest effect on the processor yield. b) Solution: Shown below is the calculation and tabulation of the SN ratio. {S_{m1}}=frac{(87.3+82.3+70.7)^{2}}{3}=19248.0,! {S_{T1}}=87.3^2+82.3^2+70.7^2=19393.1,! {S_{e1}}={S_{T1}}-{S_{m1}}=19393.1-19248.0=145.0,! {V_{e1}}=frac{S_{e1}}{N-1}=frac{145.1}{2}=72.5,! {SN_{1}}=10 log frac{(1/N)(S_{m1}-V_{e1})}{V_{e1}}=10 log frac{(1/3)(19248.0-145.1)}{145.1}=19.5,! Shown below is the response table. This table was created by calculating an average SN value for each factor. A sample calculation is shown for Factor B (pressure): {SN_{color{red}B1}}=frac{(19.5+17.6+22.2)}{3}=19.8,! {SN_{color{blue}B2}}=frac{(21.4+14.3+24.0)}{3}=19.9,! {SN_{color{green}B3}}=frac{(19.3+29.2+20.4)}{3}=23.0,! The effect of this factor is then calculated by determining the range: Delta = Max Min = 23.0-19.8=3.2,! It can be seen that deposition rate has the largest effect on the processor yield and that temperature has the smallest effect on the processor yield. Extreme Example: Sesame Seed Suffering Problem: You have just produced one thousand 55 gallon drums of sesame oil for sale to your distributors. However, just before you are to ship oil, one of your employees remembers that one of the oil barrels was temporarily used to store insecticide and is almost surely contaminated. Unfortunately, all of the barrels look the same. One barrel of sesame oil sells for $1000, while each assay for insecticide in food oil costs $1200 and takes 3 days. Tests for insectide are extremely expensive. What do you do? Solution: Extreme multiplexing. This is similar to using a Taguchi method but optimized for very sparse systems and specific cases. For example, instead of 1000 barrels, let us consider 8 barrels for now, one of which are contaminated. We could test each one, but that would be highly expensive. Another solution is to mix samples from each barrel and test the mixtures. Mix barrels 1,2,3,4 > Sample A Mix barrels 1,2,5,6 > Sample B Mix barrels 1,3,5,7 > Sample C We claim that from testing only these three mixtures, we can determine which of the 8 barrels was contaminated. Let us consider some possible results of these tests. We will use the following label scheme: +/-,+/-,+/- in order of A, B, C. Thus, +,-,+ indicates A and C showed contamination but not B. Possible Result 1: -,-,- The only barrel not mixed in was #8, so it is contaminated. Possible Result 2: +,-,- Barrel #4 appears in A, but not in B and C. Since only A returned positive, barrel #4 was contaminated. Possible Result 3: -,+,- Barrel #6 appears in B, but not in A and C. Since only B returned positive, barrel #6 was contaminated. We can see that we have 23 = 8 possible results, each of which corresponds to a particular barrel being contaminated. We leave the rest of the cases for the reader to figure out. Solution with 1,000 barrels: Mix samples from each barrel and test mixtures. Each mixture will consist of samples from a unique combination of 500 barrels. Experiments required = log2(1000)=~10. Solution with 1,000,000 barrels: Experiments required = log2(1000000)=~20. Thus, by using extreme multiplexing, we can greatly reduce the # of experiments needed, since the # of experiments scales with log2(# of barrels) instead of # of barrels. Other Methods of Experimental Design Two other methods for determining experimental design are factorial design and random design. For scenarios with a small number of parameters and levels (1-3) and where each variable contributes significantly, factorial design can work well to determine the specific interactions between variables. However, factorial design gets increasingly complex with an increase in the number of variables. For large systems with many variables (50+) where there are few interactions between variables, random design can be used. Random design assigns each variable a state based on a uniform sample (ex: 3 states = 0.33 probability) for the selected number of experiments. When used properly (in a large system), random design usually produces an experimental design that is desired. However, random design works poorly for systems with a small number of variables. To obtain a even better understanding of these three different methods, its good to get a visual of these three methods. It will illustrate the degree of efficiency for each experimental design depending on the number of variables and the number of states for each variable. The following will have the three experimental designs for the same scenario. Scenario. You have a CSTR that has four(4) variables and each variable has three or two states. You are to design an experiment to systematically test the effect of each of the variables in the current CSTR. Experimental Design #1: Factorial Design By looking at the # variables and # states, there should be a total of 54 experiments because (3impellers)(3speeds)(3controllers)(2valves)=54. Heres a list of these 54 experiments: Experimental Design #2: Taguchi Method Since you know the # of states and variables, you can refer to the table above in this wiki and obtain the correct Taguchi array. It turns out to be a L9 array. With the actual variables and states, the L9 array should look like the following: Experimental Design #3: Random Design Since we do not know the number of signal recoveries we want and we dont know the probabilities of each state to happen, it will be difficult to construct a random design table. It will mostly be used for extreme large experiments. Refer to the link below to help you obtain a better grasp on the random design concept. Dr. Genichi Taguchi Dr. Taguchi built on the work of Plackett and Burman by combining statistics and engineering to achieve rapid improvements in product designs and manufacturing processes. His efforts led to a subset of screening experiments commonly referred to the Taguchi Techniques or the Taguchi Method ®. Major Premises of Taguchi Techniques Focus on the robustness of the product. Make the product correctly in spite of variation in materials and processes. Design the product to be insensitive to the common cause variation that exists in the process. Quantify the effects of deviation using the Quality Loss Function The Quality Loss Function, L(y), provides both a conceptual and a quantifiable means to demonstrate the impact of deviation from target. Noise Factors Taguchi calls common cause variation the â€Å"noise.† Noise factors are classified into three categories: Outer Noise, Inner Noise, and Between Product Noise. Taguchis approach is not to eliminate or ignore the noise factors; Taguchi techniques aim to reduce the effect or impact of the noise on the product quality. Quality Loss Function The Loss Function can help put the cost of deviation from target into perspective. The loss represents a summation of rework, repair, warranty cost plus customer dissatisfaction, bad reputation, and eventual loss of market share for the manufacturer. Signal to Noise Ratio Taguchis emphasis on minimizing deviation from target led him to develop measures of the process output that incorporate both the location of the output as well as the variation. These measures are called signal to noise ratios. The signal to noise ratio provides a measure of the impact of noise factors on performance. The larger the S/N, the more robust the product is against noise. Calculation of the S/N ratio depends on the experimental objective: Derivation of Taguchi Matrices Taguchi matrices are derived from classical Full Factorial arrays. As with Plackett-Burman designs, Taguchi designs are based on the assumption that interactions are not likely to be significant. Taguchi designs have been developed to study factors at two-levels, three-levels, four-levels, and even with mixed levels. The levels in Taguchi matrices have historically been reported as Level 1 and Level 2 for two-level experiments. These levels are no different than the Low (-) Level and the High (+) Level used in Full Factorial designs and by Plackett and Burman. For more than two levels, experimenters typically use Level 1, Level 2, Level 3, etc. for Taguchi designs. Types of Taguchi Designs A series of Taguchi designs for studying factors at two-levels are available. Two-level designs include the L4, L8, and L16 matrices. The L4 design studies up to 3 factors. The most popular Taguchi designs are the L8 and L16 that study up to 7 and 15 factors respectively. The L4, L8, and L16 designs are geometric designs based on the 22, 23, and 24 Full Factorial matrices respectively. They are based on the Full Factorials so that interactions can be studied if desired. Non-geometric Taguchi designs include the L12, L20, and L24 designs that can study up to 11, 19, and 23 factors respectively. There are other two-level Taguchi Matrices, both geometric and non-geometric, designed to study even more factors, but it is rare that larger numbers of factors can be studied in a practical, feasible, or cost-effective manner. Analysis of Interactions While Taguchi views interactions as noise factors and most likely not significant, he does offer techniques to evaluate the impact of two-way interactions on responses. Taguchi provides two techniques to explore interactions in a screening experiment. The linear graph is a graphical tool that facilitates the assignment of factors and their interactions to the experimental matrix. Some experimenters find the interaction tables developed from the linear graphs to be easier to use. Three-Level Matrices * Taguchi screening designs for three levels exist. o The L9 looks at 4 factors at 3 levels. o An L27 can be used to study up to 13 factors at 3 levels and an L81 can evaluate up to 40 factors at 3 levels. * Taguchi designs for 4 levels and 5 levels are available. Matrices with Outer Arrays

Effects of Globalization on Quality of Life

Effects of Globalization on Quality of Life The globalization phenomenon is seen as the world-wide movement to bring different countries and societies together, allowing for greater integration and contact. Products, ideas, transactions and information are now able to circulate more freely. Consequently, this results in a global society of similar standards, where faster communication between societies would mean rapid improvements in the global economy and living standards as a whole. 1.1 The Advantages of Globalization Clear advantages resulting from globalization are the more efficient exchange of ideas and information between people and societies. Key knowledge and information in areas of science and technology can be shared more quickly, allowing for the development of new products and solutions to help us improve our daily lives. Much improvement can also be seen in the global economy due to the greater ease in financial transactions and free trade agreements between countries. In addition, more jobs are created due to the greater ease for countries to invest in the developing nations. 1.2 The Disadvantages of Globalization However, there are the downsides of globalization as well. Homogeneity and standardization are often seen, leaving little difference in the individual societies. Unique cultures of the individual societies are starting to erode as nations strive for progress and advancement to fit in with the rest of the world. One example is the traditions of the Masai tribe in Africa, which have been scrutinized and abolished by outsiders, is now lost due to globalized intruders of the land. Developing countries are also in the risk of losing their cultural identity as they tend to embrace the influx of ideas and information with open arms, and in turn, neglecting culture heritage and traditions. An increase in consumerism and number of activities has also taken a toll on the environment shown by the dramatic increase in pollution levels and climate change. Stress levels are also on the rise with the greater competition among people and societies as noted by urban Sociologist Georg Simmel in his book On Individuality and social form. 2. Impact Globalization has on Tourism The tourism industry, being an important sector in the global economy is also affected by the increasingly intense waves of globalization. It has brought about both positive and negative outcomes and effects. 2.2  Advantages of Globalization on Tourism One obvious advantage of globalization on the tourism sector is the increase in the number of travelers. As people become more aware of their surrounding countries and the different society out there, curiosity for the places would be sparked. Fueled by financial and social improvements, peoples disposable income would increase, allowing them to travel more than before. The increase in the number of people travelling brings with them a demand for hotels, and at the same time opening up more job vacancies and boosting the countrys economy. 2.2 Disadvantages of Globalization on Tourism On the other hand, there are also disadvantaged of globalization on the hospitality sector. Due to the increasing demand in travelling accommodations, hotels are springing up all around, especially in the heart of the city where tourists would frequent. Such places are usually busy and noisy, with a similar surrounding environment as they have back home, which is not ideal as people go on holiday to get away from their hectic lifestyle and schedule. The busy setting decreases the quality of relaxation as tourists would not be truly able to let loose and relax. Therefore, there is a need for guests to be in a different environmental setting for them to truly relax. 2.2 How Globalization have affected Design in General Globalization has affected design in many different ways; from skyscrapers, shopping malls, franchised restaurants and banks are coming to a standardized structure and design. Professor Roger K. Lewis posed a question on his paper Architecture and the Global City whether When abroad, how often have you felt especially comfortable in a hotel room similar to others you have stayed in, felt relieved perusing a menu with foods you recognize, or enjoyed shopping in a store whose merchandise and interior design are like the store at home? 2.2 .1 How Globalization have affected Design in Hotel Design The notion of luxury also evolved, from the simplistic mindset of material possession and wealth, to the psychological and spiritual aspect of life. Time and experience are now seen as prized commodities. With the rapid reduction in space and land available, micro-hotels such as the capsule hotels are gaining popularity. Though capsule hotels are small in size, they serve the main purpose and function of temporary accommodation space: a space for sleeping. The limited available space is not only efficiently used; functional comfort is also taken into consideration. Convenience in location is also an important part of the capsule hotel, where it is located mainly in busy city area. Such hotels are popular among businessmen and tourists, who are looking for a cheap place to rest for the night. The increased traffic in the cluttered and noisy urban jungle has also led to the revival of spaces for retreat from the chaotic urban setting. As global competition among people and industries increases, people are spending more time working. This result in higher stress levels and lesser leisure time for relaxation and entertainment. High levels of pollution in terms of noise and environment are also the reason why the demands of such escape are increasing. Retreats are situated away from urbanization, where relaxation and serenity are prized characteristics. Another growing trend is the eco-friendly hotels and resorts. In mind of the rising environmental issues and concerns, these hotels aim for earth-friendly solutions to the different problems faced, without sacrificing luxury and comfort. One common approach that is adopted by hotels is the use of non-toxic cleaning agents, recycling of waste from both staff and guests and the use of renewable energy. 3. Uniqueness amidst Standardization Boutique hotels in general, aim to be unique and different setting themselves apart from the bigger, main stream hotels. Being in a much smaller scale of 3 to 50 guest rooms, boutique hotels are known for their personalized treatment of individual guests. Ultimately, boutique hotels aim to design for distinctiveness and diversity. What makes the boutique hotel more ideal is that it is close to the heart of the city, yet away from the hustle and bustle of the urban jungle. The concept for the boutique hotel is to provide an escape for people from the busy urbanized setting of everyday life.   The chosen site in the Minden Cluster of Tanglin Village fits with my concept as the surrounding environment is tranquil and peaceful, different from the cluttered urban setting which most hotels are located in, yet still close to the shopping district at Orchard Road. The process of cleansing ones mind and soul is used in the design approach of my boutique hotel. From the noisy, busy city, one goes through a cleansing process of walking through the space to reach the ultimate destination of a quiet haven. 3.1  Cleansing of the mind and soul It starts off in the lobby area whereby public areas such as the reception and dining areas are located close to the road where the traffic is, and private areas such as the room are placed furthest away from the road, where it is quieter. At the pool area from the lobby, one goes through a transition area to calm their minds and filter out distractions and stress resulting from the cluttered urban city. Ultimately, one reaches an area of peace and serenity; the rooms. It is a private haven for the individual guests, an area which is quiet and relaxed, free from distractions and the prying eyes of the public sector. Water is used as the main element in my design as it brings about a calming effect and rejuvenation of the spirit. Water features are also used as partitions to enhance the feeling of being surrounded in an oasis. This will provide tourists with a place where they can truly relax and unwind from their daily activities. 3.2 Luxurious comfort The layout of spaces is not aimed at solely to maximize profits, but more towards the wellbeing of the guests. Wide pathways and minimal furniture are purposefully allocated for the guests to maximize the comfort levels of the visitors. The use of space in the lobby is slightly different where spiritual calmness of the guests is translated in terms of enclosed areas with high ceiling, and the play of light and water elements. 3.3 Relaxation The term relaxing space comes in many different forms and differs with each person. They can be in the form of an enclosed space with high ceiling, like those found in churches, or simply being outdoors, close to nature. These are the different kinds of relaxing spaces that are integrated in the boutique hotel design. Being located at the back of the site, away from prying eyes of the public, the use of nature and outdoors is implemented in the private area where the rooms are. The rooms are designed in blocks, differing from the original architecture of the lobby block, so as to allow for more efficient cross ventilation of spaces. With the use of plants as soft boundaries, constant fresh air can be expected when staying the rooms, ensuring comfort for the staying guests. 5. Conclusion The question to ask is does globalization really improve our quality of life? Advancing technology may have provided us with products and services to ease our problems in life, but globalization have also brought about different kinds of problems, such as the increase in stress level with the ever increasing fast-paced lifestyles of people. Increase in human activities and demands have also cause a strain on the environment with the worsening pollution and a change in the ecological system, along with a greater increase in stress level in people. Fast-paced lifestyles are seen all around the world, even when people are on holidays and being surrounded by similar hectic environments. So, have globalization then improve our life quality?

Name and Chance of Success Essay examples -- Black and White Names, So

According to all the birth certificates from California dating from 1961 to 2001 DeShawn, DeAndre, Marquis, Tyrone, Imani, Ebony, Shanice, and Aaliyah are the â€Å"blackest† names a person could have (Levitt and Dubner 169-170). The whitest names are Jake, Connor, Tanner, Wyatt, Molly, Amy, Katie, and Madeline. This starkly demonstrates that black and white parents name their children differently (Levitt and Dubner 168-169). Additionally more black boys have names that are unique in society than white boys do (Fryer and Levitt 776). These cultural variations raise questions that stem from why and what does it mean? Will a name change the outcome of an individual’s life? Do names lead to different success rates in job acceptance, Income level, or personal accomplishment? If so, is the name really the cause of such outcomes or is it perhaps only a proxy for variables such as race or socioeconomic status? Evidence from audit studies, statewide birth certificate data, an d African American naming trends stemming from the civil rights movement support a correlation between name and chance of success. Correlation does not infer causation, however, so there may be more at play. Name is an indicator of socioeconomic status and that status is what will have an effect on chance of success. Audit studies show the correlation between name and chance of success. They test how names affect success rates in job acceptance. These types studies consist of sending two identical rà ©sumà ©s to prospective employers except one rà ©sumà © contains a white sounding name and the other contains a black or ethnic sounding name. The ratio of the white sounding applicants being called back for an interview versus the ethnic or black sounding applicant in then record... ...the 44th president of our United States. To these men, and many others in the world, the meaning of their name, or what their name connotates about their history or race, did not stop them from succeeding in society. The people who are born into lower class neighborhood and carry a distinctively black name are only less likely to succeed, however, it does not mean that they won’t. Just as a person born into a wealthy neighborhood is more likely to succeed but isn’t insured of it. Names, although a proxy for socioeconomic status, will not be a deciding factor in a person’s life. Of course it can be easier for a person to succeed who come from a wealthy educated family, and of course it can be harder for a person to succeed who comes from an uneducated poor family, but it is those factors, not a name, that will affect the chances of one’s success in today’s society.

International Criminal Court Essay -- United Nations Papers

International Criminal Court Allegations of war crimes, genocide, and crimes against humanity have undoubtedly received unprecedented press coverage in recent years – more than at any time since Nuremberg. This is not because the incidences of such barbarities have increased, but simply because those crimes are brought to us more rapidly these days by the electronic media. Since the early 1990’s the international community has witnessed of a variety of criminal tribunals that were meant to promote peace-making and political transition in situations of gross violations of human rights and armed conflict among ethnical or religious groups. This tendency led to the establishment by the UN of two ad hoc Tribunals-for the former Yugoslavia and for Rwanda-and of the International Criminal Court (ICC). There was also a proliferation of 'mixed' judicial bodies-in Cambodia, Sierra Leone, Kosovo and East Timor-composed of both national and international judges and enforcing domestic as well as international criminal law. It is perhaps most cynical to assert that transitional societies, convalescing from conflict or moving from oppression towards democracy, have developed a variety of ways of dealing with past war crimes and human rights abuses. Irrefutably they have united the short-term and long-term goals of ending the conflict and preventing its recurrence, and achieving social stability and reconciliation. Almost a century after the idea for such a body had first been mooted, on 17 July 1998, to the acclaim of many; a permanent International Criminal Court (ICC) was born at last in Rome. The adoption on that day of the Court's Statute... ...rnatives to prosecution it is difficult to express a preference among them, other than the vague notion that "perhaps the challenge is to meet a basic need for balance and wholeness." Neither the "one size fits all" prosecutorial strategy, nor a uniform preference for amnesty or some non-juridical alternative in every case, would be justifiable. Circumstances differ, and circumstances matter. Atrocities, whether committed abroad or at home, are almost by definition highly unusual. For precisely that reason, their resolutions should be too. Ironically, perhaps, a court that is very similar to these from a legal point of view is likely to soon be established in Iraq. You make some good and thought-provoking points, but your language is not always as clear as it might be. Clarity is of supreme importance in law!

Rights :: essays research papers

One would think that the story of Matthew Shepard would bring people together over a tragic event. On the contrary, Matthew Shepard’s death seemed to pull the nation apart, due to people’s conflicting points of view. Should Matthew’s heartbreaking death be seen as any other killing, or should everyone take it upon himself or herself to be responsible for what happened to Matthew?   Ã‚  Ã‚  Ã‚  Ã‚  When reading the article â€Å"Blood on our Hands†, I believe that the writer had a strong position about his argument. Phil Martin states that everyone should take responsibility for Matthew’s death because people everywhere reject the unfamiliar and label others without thinking about the consequences of their actions. I believe that he is correct that we in the United States do not take the time to understand people who are different than we are. Being in a minority group as a young Jewish woman, I can empathize with the writer when he talks about being angry with self-sanctimonious religious leaders. When religious officials speak out about gays, Jews, Muslims or any other minority they need to realize that people may take their words and apply them. How can anyone be shocked about the death of a gay man, when it is being taught that gay people are not deserving of God?   Ã‚  Ã‚  Ã‚  Ã‚  Nobody’s cause is more important than anyone else’s. Everyone should educate themselves about the differences we face in America. Understanding is the key component to making change happen. If gay activists stood for the equality of women, and if women activists would stand for the equality of African Americans, then everyone would stand for something. They would stand for the equality of all Americans in this country.   Ã‚  Ã‚  Ã‚  Ã‚  The problem with this theory of mine is that people automatically put the blame on others and points the finger the other way. In â€Å"Matthew Shepard: What is the Big Deal?† Colby Carter uses personal attacks at gays to bolster his opinion. He states that protestors at a Gay March in New York waved signs reading, â€Å"Where is your rage?† in response to the death of Matthew. I think the writer takes the word rage out of context because he insists that gay protestors were using violence to solve the problem. I see people waving signs that display the same message outside of abortion clinics. Anyone can be angry about something they believe in strongly without having someone jumping to the conclusion that they are violent.

Mines Wellness Hotel

Background Mines Wellness Hotel is a delightful 168-room resort hotel with a tropical design overlooking a scenic 150-acre lake. Strategically located within a 1,000-acre mixed development just 15 minutes south of Kuala Lumpur's City Centre, Mines Wellness Hotel are just a 30-minute drive from KLIA (Kuala Lumpur International Airport), LCCT (Low Cost Carrier Terminal), Putrajaya, and Cyberjaya. Mines Wellness Hotel provides the perfect escape from the hectic city life. In the hotel, all rooms and suites have balconies, mostly with a fabulous view of the lake.The rooms are categorized into seven types; Standard,Superior, Deluxe, Helicornia, Chalet, One bedroom suites and Royal suite. To concern the health of their guest, Mines Wellness Hotel is a fully non-smoking hotel, therefore the ambience, culture and service at Mines Wellness Hotel capture the total well-being experience for the revival of mind, body and soul. The hotel’s services are designed to bring their customers bod y back to its natural state of wellness. To complement the services, they also have Qi Gong and Yoga for those who want to practice the art of knowing the body and healing it from its own.Other than that, Mines Wellness Hotel have a â€Å"beach in the city† it is also the perfect choice not only for health retreat or weekend getaway, but also for garden weddings, beach barbeques, family days, team building events and other leisure or corporate activities. With an array of water sports activities such as parasailing, water skiing, and wake-boarding, one will be spoilt for choice. If the guest is not into adrenaline-pumping activities, they can also have a quiet time at the man-made beach.Mines Wellness Hotel has a total of two ballrooms and five multi-purpose function rooms. The ballrooms are named after historical figures, boasting a seating capacity of 150 to 280 people respectively. The five smaller rooms are ideal for meetings, conferences and seminars with a business cent er providing secretarial services for the guests’ convenience. Situated adjacent to the Malaysian International Exhibition and Convention Centre (MIECC), and located just 30 minute Kuala Lumpur City Center, Mines Wellness Hotel is the ideal hotel for patrons and exhibitors alike.The hotel continued to record high traffic of leisure markets from neighboring Asian countries such as, China, Taiwan, Indonesia and Singapore as well as the Middle East. The Mines Wellness Hotel has taken on the responsibility of preserving mother earth by going green through the formation of Mines Green Circle. It is a special green environment unit formed to ensure the sustainability of nature through initiating and retaining environmental consciousness among its entire staff, guests and the masses. The hotel started their green practices since 2008.Mines Wellness Hotel was recently awarded the ASEAN Green Award 2012, this was their second time awarded since 2010. The award recognizes players in th e hotel industry whose operations are based on the environmental policy and hotel operation activities, utilization of green products, cooperation with local community and organizations, human resources development, solid waste management, energy efficiency, water efficiency, water quality management, noise pollution control, waste water treatment and management, and toxic and chemical substance disposal management..The ASEAN Green Award Hotel Standard is valid throughout the years 2012 to 2014. In addition, Mines Wellness Hotel also won the Best Landscape under the hotel/resort/tourist complex category for the year 2011 by Majlis Perbandaran Subang Jaya (MPSJ).

Crime Data Comparison

In the late 1920’s the idea was recognized by the International Association of Chiefs of Police or most commonly known as the (IACP), that there needed to be a more reliable and accurate way to keep track of all of the crime data and statistics. This information was needed to determine the crimes that were changing from year to year as well as the sources of what could be changing these statistics such as population changes, poverty changes, and so on and so forth. After a few years of deliberation over the record-keeping practices being used at the time, planning for a system called the Uniform Crime Report program (UCR) in which it came in to working effect in 1929. It was in 1930 a year later, in January that the United States Congress enacted a Code that gave the UCR the authority by the attorney general to gather information about crimes. The attorney general then delegated the responsibility to the Federal Bureau of Investigation to act as the bookkeepers for collecting all the crime data for the UCR. In 1930 the FBI became the first agency to start a resource to do just that. Since the beginning of the UCR program every year new data has been collected and published in order to crime statistics for each area across the United States. Information stored would include numbers of different crimes such as murders, arson, burglary, property crimes, rapes, larceny, etc. The UCR program started in January 1930 with data gathered from law enforcement agencies in 400 cities from 43 states submitting information and currently includes approximately 17,000 law enforcement agencies nationwide that voluntarily contribute their crime statistics. Murder or Homicide is an act that happens across the United States. There is not one state safe from it. According to the Uniform Crime Report program in 2011 California was the state with the highest amount of murders with a total of 1,790. The total amount of murders committed at the hands of a firearm is 1,220. Murders committed by knives or cutting instruments 261. One thing that may have an impact on the amount of murders as well as other crimes is the population in California. With an amazing total of 37. 3 million in 2011 with a 10% increase since 2000. With 43% of families in California considered to be low income, the poverty level is very high in California. As described by national statistics that show that most crime is committed in areas of poverty and low-income this could be a reason that the murder or homicide rate is so high in California. Each year with the increase of population the crime rates increase. Across the ocean in Hawaii with the lowest amount of murders/homicides with a low total of seven for the year of 2011. One at the hands of a firearm, two by stabbing or knifes, and three by hands, fists, feet or etc. nd the rest in other ways. With a lower population than California with a total of 1,360,301 with around 953,207 people (70%) living in the city and County of Honolulu for 2011. With a low-income or poverty population percentage of only 13. 7% of the population below the nationwide average income level. It shows that this could have some effect on the murder/homicide statistics being lower than that of California. Also another reason could be that the population of Hawaii is mostly contributed by tourism and most people in Hawaii are only here for travel. In 2011, about 7. million people from around the world visited Hawaii. Another reason that could factor in to the crime rate is 47,410 of the population in Hawaii is military personnel, or 3. 48%. In 2011, an estimated 14,612 persons were murdered in the United States. This was a 0. 7% decrease from the 2010 estimate, a 14. 7% decline from the 2007 figure, and a 10. 0% decrease from the 2002 estimate. There were 4. 7 murders per 100,000 inhabitants, a 1. 5% decrease from the 2010 rate. Compared with the 2007 rate, the murder rate declined 17. 4%, and compared with the 2002 rate, the murder rate decreased 16. %. Nearly 44% (43. 6) of murders were reported in the South, the most populous region, 21. 0% were reported in the West, 20. 6% were reported in the Midwest, and 14. 8% were reported in the Northeast (FBI Uniform Crime Report Statistics). There could be many reasons why the crime rate changes, it could be the area, the upbringing, income, population and also what resources that are available in the area to help youth and people with emotional problems. There are a number of factors that could help persuade a person from committing crime and murder. However one thing is certain as the population increases so does the crime. Although the Uniform Crime Report program definitely shows an improvement from how data and statistics previously were collected, there are still many criticisms about the data's accuracy. The UCR only reports crimes known to police. Due to a high number of crimes that are never reported and the victims that do not report their experiences to law enforcement agencies, the data reported is often inaccurate as for both the number of crimes committed and the number of offenders. Another reason that the UCR is flawed is due to the fact that only crimes considered serious crimes are reported. The data and all of the information that is reported to the UCR is only based on the hierarchy rule: For a crime incident in which multiple offenses were committed only the most serious offense is reported. Furthermore, the UCR reveals more about police behavior than it does about criminality. Some law enforcement agencies falsify the reports they submit to the FBI to lessen the case load for the police station and officers. In which the crimes are never solved. References: FBI Uniform Crime Report Statistics http://www.fbi.gov/about-us/cjis/ucr/crime-in-the-u.s/2011/crime-in-the-u.s.-2011/violent-crime/murder http://math2033.uark.edu/wiki/index.php/Uniform_Crime_Reports http://www.fbi.gov/about-us/cjis/ucr/crime-in-the-u.s/2011/crime-in-the-u.s.-2011/offenses-known-to-law-enforcement/offenses-known-to-law-enforcement http://www.californiality.com/2011/03/california-census-data.html http://www.to-hawaii.com/population.php