Design Specification for the Keyring Torch - Assignment Example

? ENGINEERING dESIGN al Affiliation) Key words: Requirement, Design solution Requirement The paper designs and prepares a design specification for the key ring torch. The paper comes up with various requirements that would lead in a unique design. The design specification considers the requirement of the customer in terms of cost, production parameter, aesthetics, performance, and function that will lead to a report. The suggested product for this design is a key ring torch. The paper has put into consideration the effect of resource requirement and specification parameter. Additionally, the implication takes note of the risk level that is associated with the established significant parameters (Budd, 2006). From the questionnaire generated, the customer requirement for key ring torch includes a metal shell body having different colors, 58 by 20 MM size, LED light for lighting, nice color, and 4pc button cells that are included on the key ring. I used the questionnaire over the other methodologies because the responses are collected in a standardized manner; therefore, this method is more objective, certainly more than the Focus Group Discussion and Interviews. Generally, the method is relatively faster in collecting information than the interviews and the FDG. However, in some cases the method took a longer time to develop, apply and to analyze. Additionally, the information can be easily collected from a larger group portion. The potential is not always realized because the questionnaire returns are usually very low. However, the rates of return can be improved ones the questionnaire is responded and delivered on time. The questions in the questionnaire are outlined in the appendices (Cather, 2001). . Design Parameters Some of the design parameters for the keyring torch include type of material body color of the keyring torch Led lights Switch battery size packing mechanism flash mode Charge lead time. Using a Focus Group Discussion, the major design parameters include the material used, the body color, and the charge lead time on that order. Some of the key features of Key ring torch include the unbreakable LED light, a lithium batters having a shelf life of one year, burn time of over ten hours, the lay on the chain of the key, and small and lightweight. Some of the application of the key ring include the lighting for driver, emergency for office and home, chart reading for the pilots and astronomers, and outdoor tasks like hunting, camping, and fishing. The key ring torches are bright idea for promoting a company. The customer key ring can be customized with a company’s logo or even the message. From the Focus Group Discussion it was evident that the clients preferred aluminum alloy material, blue, pink, red, and silver body color. The brightness for the LED light is 13000mcd, a button switch, a battery of 3*LR44, a size of 58*20MM, key ring flash mode, and the charging leading time of five to seven days. The clients required the packing to be in an inner box of 500 pieces, with cumulative weight of 12.5 Kg. FDG conducted is outlined in the appendices Design Specification Name Parameter Specification Features Body color Blue, Pink, Silver, Green, and red painting Material Aluminum alloy Switch Button LED Lights Brightness of 13000mcd Size 58 by 20 MM Battery 3*LR44 Packing 1 piece/OPP, 100pcs/CTN, NW 12.g Kg Charge Lead time 5-7 days Flash mode Key ting Details of Packing Packing Inner Packing Outer Packing Meas G/N.w 1 pcs/ bag 100 pieces /inner box 500 pieces per Carton 32*23*24cm 13.5/ 12.5 Kg Design Specification and the customer requirement The design is based on the outlined specification. The reliability requirement of the key ring torch was part of the technical specification document. The company set the requirement for the key ring torch. The reliability of the product is not easy to specify. It is very easy to use the qualitative language like the needs of the product needs to exceed the expectation of the client. The key ring torch need to be reliable than the existing competition. According to Joseph Juran if you do not measure it, you fail to manage it. Therefore, if the company fails to specify the goals numerically, it will lose control over the management of its products improvement on their reliability. The fundamental elements of reliability requirement include: measurable, operating environment and customer usage, failure definition, time, and also confidence. After determining the operating environment and customer usage, the section will examine the life element and probability of the reliability specification. The mean life of 10,000 miles is misleading and flawed. The exponential distribution is used because of its computational simplicity. The product has a constant failure rate (Eggert, 2005). The company tested the 8 units of key ring torch from two suppliers; the failure outcome is shown below The first supplier The second supplier 866, 2243, 3870, 5799, 8208, 11362, 16043, 24888 5984, 7592, 8701, 9626, 10500, 11389, 12415, 13856 The data sets modeled using the rank regression and weibull distribution as MTTF1=9999.6953 miles MTTF2=9999.4282 miles Analysis of possible design solutions Some of the possible design solutions that adequately covered the customer requirement include the robustness, skill required, aesthetics, and time. The design generated is reliable because it meets the design goals and the customer requirement but it is not robust. The operation of the key ring operation is affected by the mass distribution. Account for the robust, the algorithm of Monte Carlo is used, by running the Simulink model of the given design. The Monte Carlo algorithm will results to the model product that has various value distributions for the given set of design variables. The objective of the optimization problem is to reduce the standard deviation and the mean of the unreliability. The single simulation call is replaced in the mycostFcn with the simulation of the algorithm and maximizes the values of the set design that reduces the standard deviation and the mean of the key ring unreliability. The optimization limitation including the constraint of unreliability is solved prior the optimal. The outcome is shown in the figure below. The robust design for the key ring has a level that is greater that the reliability based design, leading to a design that has a higher damping value of the coefficient Evaluation and Production of Conceptual Designs The conceptual designs are the solutions that target the design problem. The main idea of the conceptual design is to optimize the probability of the final product of key ring torch. Therefore, the conceptual design is generated in estimating the cost and the overall dimension. The first stage of the design involves making decision about major design parameters like the major algorithm and the primary sub-system. The arbitrary solution, in the designing process, means the opportunities that are wasted to improve the quality and reduce the cost. Making arbitrary decision is the popular method for solving the problems. The solution questions the conventional and normal way of handling things and look for the best alternatives. The broader solutions are developed as a design options. The conceptual design is not about the final product of key ring torch but the feasibility and cost effectiveness of the process of manufacturing. The design solution feasibility is produced and evaluated by verifying the algorithmic components through the sub-system testing. The positive outcomes of the preliminary tests will convince the client that the model has a greater guarantee of success probability upon the integration as the experimental proof concept on the module level (Hayes, 1992). The optimum design The proposed solutions are based on the calculations of probabilities. An analysis of comparison is carried out on these methods, which different criteria of optimization which precedes that in the general framework. When the design methods of analysis are employed, the minimum of the total cost is preferred as a criterion that is much easy to implement. The deterministic techniques for key ring design and foundation are impossible. The probabilistic design technique with consequent solution of optimizing problem is used for this purpose. The method has been built by Pustovoit and proposed by Maksimenko as an efficient method that lowers the selection of designing solutions with a higher level of reliability. The probabilistic technique calculates key ring torch and optimal design solutions, the function of reliability, which outlines the change in the system’s probability. The limiting state condition fulfillment according to the construction regulation and rules is portrayed as the operation of fail-safe. The reliability function value at the terminus of the standard service life of the design is termed as the reliability level. This is termed as the operation of fail-safe over the entire life of service. Compliance Check The general compliance check to the development of such solution is well tested in reliability theory as a design function. It lowers the risk value of the solution as the mathematical expectancy of the loss of material. To calculate the C, it is crucial to know every function of the solution and not its terminal level. A proper solution is known when its initial cost rises with the rising reliability. Their sum, has a minimum on the basis when the optimal design solution is chosen. Thus the total cost has to be lowered in a selection technique and criteria. The initial cost of designing the product is added from the initial cost involving the design and development. The latter is similar in all the design solutions. According to Maksimenko, a new compliance check ensures that the reliability with higher level is attained. The third check ensures that the solution of a given specification corresponds to the design solution. The points with coordinates (0,1) cannot be achieved, therefore, design solutions with a shorter distance are termed as ideal. Therefore, the economic and probabilistic indicators enter the compliance check which is hard to verify and is subject to minimization. Additionally, the comparison with various methods is not right with respect to the reliability level (Tooley, 2010). Final Report The paper designs and prepares a design specification for the key ring torch. The paper comes up with various requirements that would lead in a unique design. The design specification considers the requirement of the customer in terms of cost, production parameter, aesthetics, performance, and function that will lead to a report. The suggested product for this design is a key ring torch. The paper has put into consideration the effect of resource requirement and specification parameter. Additionally, the implication takes note of the risk level that is associated with the established significant parameters. Some of the design parameters for the keyring torch include type of material body color of the keyring torch Led lights Switch battery size packing mechanism flash mode Charge lead time. Using a Focus Group Discussion, the major design parameters include the material used, the body color, and the charge lead time on that order. Some of the key features of Key ring torch include the unbreakable LED light, a lithium batters having a shelf life of one year, burn time of over ten hours, the lay on the chain of the key, and small and lightweight. Some of the application of the key ring include the lighting for driver, emergency for office and home, chart reading for the pilots and astronomers, and outdoor tasks like hunting, camping, and fishing. The key ring torches are bright idea for promoting a company. The customer key ring can be customized with a company’s logo or even the message. From the Focus Group Discussion it was evident that the clients preferred aluminum alloy material, blue, pink, red, and silver body color. The brightness for the LED light is 13000mcd, a button switch, a battery of 3*LR44, a size of 58*20MM, key ring flash mode, and the charging leading time of five to seven days. The clients required the packing to be in an inner box of 500 pieces, with cumulative weight of 12.5 Kg. FDG conducted is outlined in the appendices Design Specification Name Parameter Specification Features Body color Blue, Pink, Silver, Green, and red painting Material Aluminum alloy Switch Button LED Lights Brightness of 13000mcd Size 58 by 20 MM Battery 3*LR44 Packing 1 piece/OPP, 100pcs/CTN, NW 12.g Kg Charge Lead time 5-7 days Flash mode Key ting Details of Packing Packing Inner Packing Outer Packing Meas G/N.w 1 pcs/ bag 100 pieces /inner box 500 pieces per Carton 32*23*24cm 13.5/ 12.5 Kg The design is based on the outlined specification. The reliability requirement of the key ring torch was part of the technical specification document. The company set the requirement for the key ring torch. The reliability of the product is not easy to specify. It is very easy to use the qualitative language like the needs of the product needs to exceed the expectation of the client. The key ring torch need to be reliable than the existing competition. According to Joseph Juran if you do not measure it, you fail to manage it. Therefore, if the company fails to specify the goals numerically, it will lose control over the management of its products improvement on their reliability. The fundamental elements of reliability requirement include: measurable, operating environment and customer usage, failure definition, time, and also confidence. After determining the operating environment and customer usage, the section will examine the life element and probability of the reliability specification. The mean life of 10,000 miles is misleading and flawed. The exponential distribution is used because of its computational simplicity. The product has a constant failure rate. The company tested the 8 units of key ring torch from two suppliers; the failure outcome is shown below The first supplier The second supplier 866, 2243, 3870, 5799, 8208, 11362, 16043, 24888 5984, 7592, 8701, 9626, 10500, 11389, 12415, 13856 The data sets modeled using the rank regression and weibull distribution as MTTF1=9999.6953 miles MTTF2=9999.4282 miles The proposed solutions are based on the calculations of probabilities. An analysis of comparison is carried out on these methods, which different criteria of optimization which precedes that in the general framework. When the design methods of analysis are employed, the minimum of the total cost is preferred as a criterion that is much easy to implement. The deterministic techniques for key ring design and foundation are impossible. The probabilistic design technique with consequent solution of optimizing problem is used for this purpose. The method has been built by Pustovoit and proposed by Maksimenko as an efficient method that lowers the selection of designing solutions with a higher level of reliability. The probabilistic technique calculates key ring torch and optimal design solutions, the function of reliability, which outlines the change in the system’s probability. The limiting state condition fulfillment according to the construction regulation and rules is portrayed as the operation of fail-safe. The reliability function value at the terminus of the standard service life of the design is termed as the reliability level. This is termed as the operation of fail-safe over the entire life of service(Hayes, 1992). The general compliance check to the development of such solution is well tested in reliability theory as a design function. It lowers the risk value of the solution as the mathematical expectancy of the loss of material. To calculate the C, it is crucial to know every function of the solution and not its terminal level. A proper solution is known when its initial cost rises with the rising reliability. Their sum, has a minimum on the basis when the optimal design solution is chosen. Thus the total cost has to be lowered in a selection technique and criteria. The initial cost of designing the product is added from the initial cost involving the design and development. The latter is similar in all the design solutions. According to Maksimenko, a new compliance check ensures that the reliability with higher level is attained. The third check ensures that the solution of a given specification corresponds to the design solution. The points with coordinates (0,1) cannot be achieved, therefore, design solutions with a shorter distance are termed as ideal. Therefore, the economic and probabilistic indicators enter the compliance check which is hard to verify and is subject to minimization. Additionally, the comparison with various methods is not right with respect to the reliability level (Hayes, 1992). Reference Budd, A. 2006. Blog design solutions. Berkeley, CA: Friends of ED ;. Cather, H. 2001. Design engineering. Oxford: Butterworth Heinemann. Eggert, R. J. 2005. Engineering design. Upper Saddle River, N.J.: Pearson/Prentice Hall. Hayes, B. E. 1992. Measuring customer satisfaction: development and use of questionnaires. Milwaukee, Wis.: ASQC Quality Press. Tooley, M. H. 2010. Design engineering manual. Amsterdam: Butterworth-Heinemann. APPENDICES: CUSTOMER REQUIREMENT QUESTIONNAIRE Product Category Keyring Torch: Units……… Frequency :……. Monthly, Quarterly, Semi-annually, Annually Packaging Requirement: Main Label: …. Care Label: ….Support Tag:…..Pre-Ticket:…….Other please Describe Fulfillment Requirement: Drop Ship: ……. Air Ship: …… Inventory Support:……….Other please Describe Marketing Services: Retail:…Wholesale:……School:……E-Commerce:………Other Please Describe Business Type: Agent:….. Importer:…… Wholesaler:…..Retailer:….. Shipping Destination:…………………………… Price Quotation: FOB:…….LDP:………. Principal Contact Information:…………..... Buyer Contact Information:……………….. Product Developer:……………………………………… Other Requirements, Comments, Questions:…………………………………………………… PLEASE CONTACT ME:…………………………………………………………………… 2. Focus Group Discussion Question 1: Please name the major design parameter for the keyring torch 1) ………… 2) …………. 3) …………… 4) …………… 5) ……………. 6) …………… 7) ……………. Question 2: Please give the specification for the design parameters alongside the parameters Read More