Evaluating Light bulb failure analysis in vehicles Characteristics of Light Bulbs in Vehicle Systems
Question
Task: How can Light bulb failure analysis in vehicles modes in vehicle light bulbs be systematically evaluated, and what strategic improvements can manufacturers implement to prevent these Light bulb failure analysis in vehicless?
Answer
Introduction
Customer perception towards a product delivers important characteristics towards the products future improvement, this making it critical for all organization to evaluate the severity of their products Light bulb failure analysis in vehicles characteristics and develops a solution addressing the concern (Chary). Most of us today ride motorcycle or car thus we shall be analysing the Light bulb failure analysis in vehicles characteristics of a light bulb and determine their levels of the Light bulb failure analysis in vehicless severity. These will be categorized in a table displaying each Light bulb failure analysis in vehicless characteristics and determine its severity. The severity levels shall be determined by the effects the Light bulb failure analysis in vehicles has on the drivability of the vehicle and areas a manufacturer must focus on improving.
Production Engineering Concepts
Light Light bulb failure analysis in vehicles can occur due to several reasons thus each shall be analysed to determine its severity on the usability of the product which in this research would be the vehicle (Association). Light bulb failure analysis in vehicles can occur due to the following reasons; Battery Dead, Broken Wire, light Out, Fuse Out, Corrosion and Missing light bulb shall be analysed on a scale of 1-10 while determining the effects the Light bulb failure analysis in vehicles have on different functions of the vehicles. Functions taken into consideration include
• Driving at Night
• Signalling lane change and turning
• Communicating Distress
• Reversing at night
• Driving in misty climate/ winter
Categorizing the Light bulb failure analysis in vehicless using numeric levels will deliver an important understanding linked to the level severity a driver is likely to experience while driving the vehicle (Buchmann, Kifor and Yu). To perform this analysis accurately it’s important to keep in mind the vehicle use will be shall be evaluated on a 24-hour basis thus certain Light bulb failure analysis in vehicles levels may have major variation levels differencing for Day and night use as well as due to certain climatic conditions such as mist
Product Description
Vehicles require producing light so as to be drivable in the darkness as well as to signal turning, stopping, danger and poor visibility among other signals. This makes it important for vehicles to have properly functioning light bulbs used for different functions. Light bulbs tend to fail for a different reason namely Battery Dead, Broken Wire, light Out, Fuse Out, Corrosion and Missing light bulb. Each will have a different effect on the drivability of the vehicle thus they need to be categorized to determine their levels of severity which can be addressed (Shina). Once identified the vehicle manufacturer can determine areas which need to be improved for optimum user experience.
Application of the Concepts and Tools
To perform this evacuation the use of the product Light bulb failure analysis in vehicles modes and effects analysis shall be utilized and data entered into a quality function deployment matrix (QFD). This will deliver visually related to the severity of each Light bulb failure analysis in vehicles which can then be used to determine aspects which are most concerning and require urgent design improvement (Association1). The below table clearly delivers the product Light bulb failure analysis in vehicles severity which is numerically categorized as well as color-coded to deliver a clear understanding related to its urgency.
By reviewing the above matrix important information and data related to the Light bulb failure analysis in vehicles types and severity can easily determine thus allowing for the most urgent concerns to be addressed. It’s important to keep in mind certain aspect cannot be changed as the bulb depends on other components to function. Battery dead is one such Light bulb failure analysis in vehicles reason which is can be caused by the forgetting the light but the bulb cannot be used if the battery is dead.
Light bulb failure analysis in vehicles prevention scenario
In this scenario, the car manufacturer can consider developing Light bulb failure analysis in vehicles prevention mechanism such as installing light one alarm which automatically turn-on when the lights are left on and the engine turned off. This will help alert the driver that the lights are switched on and need to be turned off before the driver leaves the vehicle (Tokoro). This Light bulb failure analysis in vehicles is classified as being most severe due to its capability to render the vehicles unusable if the battery is dead but a preventive mechanism can be developed to help reduce the possibility of the driver forgetting the light on after driving. This problem commonly occurs where drivers turn their light on in the daytime due to bad weather but forget to turn them off while leaving the vehicle. The vehicle manufacturer can improve the design and help reduce instances of the dead battery caused by forgotten lights on thus reducing the inconvenience caused to the driver.
Conclusions
Developing a quality function deployment (QFD) matrix is critical towards determining the product Light bulb failure analysis in vehicles modes and effects thus allowing for a detailed matrix to be prepared to offer Light bulb failure analysis in vehicles prevention strategies and mechanism for the most critical Light bulb failure analysis in vehicless identified. Solutions addressing Light bulb failure analysis in vehicless can then be developed and the best Light bulb failure analysis in vehicles response plans approved for used towards future product design improvement
Recommendations and Future Work
From the above quality function deployment matrix (QFD), Light bulb failure analysis in vehicles factors falling under severe and moderate Light bulb failure analysis in vehicles need to be addressed first after which milder Light bulb failure analysis in vehicles can be addressed data later stage. Light bulb failure analysis in vehicless response and solution must be a focus on the most concerning issues identified and gradually include other less concerning Light bulb failure analysis in vehicless.
Bibliography
Association, Management. Industrial Engineering: Concepts, Methodologies, Tools, and Applications: Concepts, Methodologies, Tools, and Applications, Volume 1. Hershey: IGI Global, 2012.
Association1, Management. Machine Learning: Concepts, Methodologies, Tools and Applications: Concepts, Methodologies, Tools and Applications. New York: IGI Global, 2011.
Buchmann, Robert, Claudiu Vasile Kifor and Jian Yu. Knowledge Science, Engineering and Management: 7th International Conference, KSEM 2014, Sibiu, Romania, October 16-18, 2014. Proceedings. Springer, 2014.
Chary. Production and operations management. Banglore: Tata McGraw-Hill Education, 2009.
Shina, Sammy G. Concurrent Engineering and Design for Manufacture of Electronics Products. New York: Springer Science & Business Media, 2012.
Tokoro, Mario. Open Systems Dependability: Dependability Engineering for Ever-Changing Systems, Second Edition. Tokyo: CRC Press, 2015.
