1. Introduction to Quality Control in Manufacturing
2. The Role of Quality Assurance in Product Lifecycle
3. Implementing Effective Quality Control Procedures
5. Quality Control Tools and Techniques
6. Training and Development for Quality Control Teams
7. Continuous Improvement and Quality Control
quality control in manufacturing is a pivotal aspect of production that ensures products meet certain standards of quality. It involves various methods and processes aimed at detecting and correcting defects in the manufactured product. The goal is to make sure that the products leaving a factory are free of issues and meet the expectations of the customers. This process not only helps in maintaining the reputation of a brand but also significantly reduces costs by minimizing waste and rework.
From the perspective of a production manager, quality control is about maintaining a consistent standard of excellence. This involves rigorous testing of products, from individual components to the final assembly. For an engineer, it's about precision and ensuring that every part of the product is within specified tolerances. The customer's viewpoint is equally important; they expect a product that functions as advertised and lasts an appropriate amount of time.
Here are some in-depth insights into the process:
1. statistical Process control (SPC): This involves using statistical methods to monitor and control a process. For example, a manufacturer of automotive parts might use SPC to ensure that axle diameters meet the required tolerances.
2. total Quality management (TQM): This is a comprehensive approach that involves all employees in the organization in improving processes, products, services, and the culture in which they work. For instance, a smartphone manufacturer might implement TQM to improve battery life and screen durability.
3. Six Sigma: It's a set of techniques and tools for process improvement. A company might use Six Sigma methodologies to reduce the number of defective computer chips produced.
4. ISO Standards: These are international standards that specify requirements for a quality management system. A toy manufacturer might follow ISO 9001 standards to ensure safety and quality in its products.
5. Lean Manufacturing: This focuses on minimizing waste within manufacturing systems while simultaneously maximizing productivity. An example could be an apparel factory streamlining its cutting and sewing operations to reduce fabric waste.
6. Quality Circles: These are groups of workers who meet regularly to discuss and solve problems affecting the quality of their work. A group of assembly line workers might form a quality circle to suggest improvements to their workflow.
7. Benchmarking: This involves comparing one's business processes and performance metrics to industry bests or best practices from other industries. For example, a furniture company might benchmark its production techniques against those of a leading competitor.
8. Root Cause Analysis: When defects occur, it's crucial to identify the root cause. For instance, if a car manufacturer notices a pattern of engine failures, a root cause analysis might reveal a flaw in the design of the fuel injection system.
9. Poka-Yoke (Error-Proofing): This technique helps to avoid mistakes by preventing, correcting, or drawing attention to human errors as they occur. A simple example is the use of keyed connectors that only allow a cable to be plugged in the correct way.
10. Continuous Improvement (Kaizen): The philosophy of continuous improvement is about making small changes regularly. Over time, these small changes lead to significant improvements in efficiency and quality. An electronics assembly line might introduce a new tool that speeds up the process of attaching components to a circuit board.
Incorporating these elements into the manufacturing process can lead to a significant enhancement in product quality. For example, a car manufacturer that implements rigorous quality control checks at every stage of production is more likely to produce vehicles that are reliable and safe. This not only satisfies customers but also builds a strong brand reputation and ensures long-term success in the market. Quality control is not just a checkpoint at the end of a production line but a comprehensive approach that permeates every aspect of the manufacturing process.
Introduction to Quality Control in Manufacturing - Quality Control: Quality Control in Production: Ensuring Excellence at Every Step
Quality assurance (QA) is a critical component of the product lifecycle, serving as the guardian of product excellence. This systematic process ensures that every product meets the established standards of quality, including reliability, usability, and performance, before reaching the consumer. QA is not just a phase; it's an extensive, continuous thread that runs from the conception of a product through to its delivery and beyond. It's a proactive approach, aiming to prevent defects and ensure quality, rather than merely identifying and rectifying issues post-production.
From the perspective of a developer, QA is the checkpoint that validates the integrity of their code and design choices. It's a collaborative effort where developers and QA professionals work hand-in-hand to refine the product. For instance, in software development, QA involves rigorous testing phases such as unit testing, integration testing, and system testing, each serving to catch different types of potential issues.
From a managerial standpoint, QA is a strategic tool. It's about resource allocation, risk management, and timeline adherence. Managers must ensure that QA processes are integrated into the project timeline effectively, allowing for adequate testing and iterations without compromising the go-to-market strategy.
For the end-user, QA is the assurance of a reliable, functional, and user-friendly product. It's what instills confidence in the brand and influences purchasing decisions. A tangible example of this is in the automotive industry, where safety and performance tests are vital to the consumer's trust.
Here's an in-depth look at the role of QA in the product lifecycle:
1. Requirement Analysis: QA begins with understanding what is required of the product. This involves reviewing specifications, regulatory standards, and customer expectations to establish quality benchmarks.
2. Design Review: QA specialists participate in design reviews to ensure that the product design aligns with quality standards and is feasible for production.
3. Process Monitoring: Throughout the manufacturing or development process, QA tracks metrics and performance to identify any deviations from the quality plan.
4. Testing: This is the heart of QA. Products undergo various tests to verify that they function as intended. For example, in software, this could include stress testing to see how the system performs under heavy loads.
5. Feedback Loop: QA provides feedback to the development team, which is used to make improvements. This iterative process continues until the product meets the quality criteria.
6. Final Verification: Before the product launch, QA conducts a final review to ensure all quality standards have been met.
7. Post-Release Support: QA's role extends to post-release, monitoring customer feedback and product performance to inform future updates and iterations.
Incorporating QA throughout the product lifecycle is not just about catching errors; it's about building a culture of quality that permeates every aspect of production. It's a comprehensive approach that requires the involvement and commitment of every team member, from the engineers and designers to the sales and marketing professionals. By prioritizing QA, companies can not only avoid costly recalls and customer dissatisfaction but also establish a reputation for reliability and excellence that stands the test of time.
The Role of Quality Assurance in Product Lifecycle - Quality Control: Quality Control in Production: Ensuring Excellence at Every Step
implementing effective quality control procedures is a critical aspect of production that ensures the excellence and reliability of the final product. Quality control (QC) is not just about finding defects, it's about preventing them. It involves a systematic process of checking to see whether a product or service being developed is meeting specified requirements. A robust QC system is essential for competing in an ever-expanding global market where consumers demand perfection. Different stakeholders, from the production floor workers to the top management, have varying perspectives on quality control, but they all agree on its importance for customer satisfaction and company reputation.
From the perspective of a production floor worker, quality control is part of their daily routine. They are the first line of defense against quality issues, and their insights are invaluable for identifying recurring problems and potential improvements. On the other hand, quality managers view QC as a strategic process that aligns with business objectives and customer expectations. They focus on systemizing quality checks and integrating them into the production workflow without compromising efficiency.
Here are some in-depth insights into implementing effective quality control procedures:
1. Establish Clear Quality Standards: The first step is to define clear, measurable, and achievable quality standards. For example, a smartphone manufacturer might set a standard that no more than 1 in 10,000 phones should have a screen defect.
2. Develop a Robust Testing Protocol: Once standards are set, develop a testing protocol that includes detailed steps for inspection. For instance, an automobile company may use a checklist that covers everything from engine performance to the fit and finish of interior trim.
3. Train Employees Thoroughly: Training is crucial. Employees should understand the QC processes and why they're important. A food processing company, for example, might train workers on hygiene practices to prevent contamination.
4. Implement Preventative Measures: Identify potential sources of defects and address them proactively. In the pharmaceutical industry, this might involve controlling environmental conditions like temperature and humidity during production.
5. Use Statistical Process Control (SPC): SPC uses statistical methods to monitor and control production processes. For instance, a semiconductor manufacturer might use control charts to ensure that chip fabrication stays within desired tolerances.
6. Regularly Review and Improve QC Processes: Continuous improvement is key. Conduct regular audits and reviews of QC processes to find areas for enhancement. A toy manufacturer might review their paint application process to ensure consistent coverage and color match.
7. Engage with Suppliers: Ensure that materials meet quality standards. A computer hardware company might work closely with its suppliers to ensure that components like hard drives meet rigorous testing standards before assembly.
8. customer Feedback integration: Use customer feedback to improve QC. A clothing retailer could analyze returns to identify common defects and then work to eliminate these issues in future production runs.
9. Certification and Compliance: Obtain quality certifications like ISO 9001, which can help standardize QC procedures. A medical device company, for example, must comply with stringent regulatory standards for their products to be approved for market.
10. Leverage Technology: Implement advanced QC technologies such as automated inspection systems. In the packaging industry, high-speed cameras and sensors might be used to detect sealing defects on the production line.
By considering these points and integrating them into a cohesive strategy, businesses can ensure that their quality control procedures are effective and contribute to the overall excellence of their production processes. The goal is to create a culture where quality is everyone's responsibility, and continuous improvement is a constant pursuit.
Implementing Effective Quality Control Procedures - Quality Control: Quality Control in Production: Ensuring Excellence at Every Step
Statistical Process Control (SPC) is a methodological approach that employs statistical methods to monitor and control a process. This data-driven technique enables quality control professionals to measure and analyze the variation in processes, which can help to identify and eliminate causes of inconsistencies, ensuring that the production outcome remains consistent and predictable. By using SPC, manufacturers can achieve a high level of quality control, which is crucial for maintaining competitive advantage and customer satisfaction.
Insights from Different Perspectives:
1. From the Manufacturer's Perspective:
- Cost Reduction: By identifying variations early, SPC helps in reducing waste and rework, leading to significant cost savings.
- Process Improvement: Continuous monitoring allows for the fine-tuning of production processes, resulting in improved efficiency and productivity.
2. From the Customer's Perspective:
- Consistent Quality: Customers receive products that meet their quality expectations consistently, which enhances brand loyalty.
- Reliability: SPC ensures that products are reliable and adhere to safety standards, which is paramount for customer trust.
3. From the quality Control Analyst's perspective:
- Data Analysis: Analysts use control charts to track data over time, identifying trends and making informed decisions to maintain process control.
- Predictive Insights: SPC tools can forecast potential quality issues before they occur, allowing for preemptive action.
In-Depth Information:
1. Control Charts:
- These are used to plot data over time and identify signals of variations due to assignable causes versus natural process variation.
- Example: A manufacturer of automotive parts uses control charts to monitor the thickness of paint applied to each part. Any deviation beyond the control limits triggers an investigation.
2. Process Capability Analysis:
- This involves assessing how well a process can meet specified tolerance limits.
- Example: A pharmaceutical company measures the potency of each drug batch to ensure it falls within the acceptable range defined by health regulations.
3. Variation Reduction Techniques:
- Techniques such as the 5 Whys or Fishbone Diagram are used to drill down to the root cause of a variation.
- Example: A food processing plant uses the 5 Whys technique to uncover the reason behind a sudden increase in product spoilage.
4. benchmarking and Continuous improvement:
- SPC encourages the setting of performance benchmarks and supports continuous improvement efforts to meet or exceed these benchmarks.
- Example: An electronics manufacturer benchmarks its defect rates against industry standards and implements SPC to drive improvements.
Conclusion:
SPC is not just a set of tools; it's a philosophy of continuous improvement and commitment to quality. By embracing SPC, businesses can not only ensure that their products meet the highest standards but also foster a culture of excellence that permeates every step of the production process. Whether it's through the meticulous analysis of control charts or the rigorous application of variation reduction techniques, SPC empowers organizations to take a proactive stance in quality control, making excellence an everyday reality.
A Data Driven Approach - Quality Control: Quality Control in Production: Ensuring Excellence at Every Step
In the realm of production, the pursuit of excellence is a continuous journey marked by meticulous attention to detail and an unwavering commitment to quality. Quality control is the compass that guides this journey, ensuring that every product not only meets but exceeds the expectations set forth by both the industry and consumers. It encompasses a diverse array of tools and techniques, each designed to scrutinize different aspects of the production process, from the raw materials used to the techniques employed in assembly. These tools serve as the critical checkpoints along the production line, flagging potential issues before they escalate into costly errors. They are the silent guardians of the manufacturing world, working tirelessly behind the scenes to uphold the standards of excellence that define a brand.
From the perspective of a production manager, quality control is the backbone of operational success. It's a proactive approach that prevents defects and ensures consistent output. On the other hand, from a customer's viewpoint, it's the assurance that the products they purchase are safe, reliable, and worth their investment. Let's delve deeper into some of these pivotal tools and techniques:
1. Statistical Process Control (SPC): This technique employs statistical methods to monitor and control a process. For example, control charts are used to track whether a process is in a state of control or if there are variations that need attention.
2. failure Mode and Effects analysis (FMEA): FMEA is a systematic, proactive method for evaluating a process to identify where and how it might fail and to assess the relative impact of different failures. An example would be assessing the risk associated with a car's braking system and the potential effects of its failure.
3. Six Sigma: Six Sigma is a disciplined, data-driven approach for eliminating defects in any process. For instance, a mobile phone manufacturer might use Six Sigma to reduce the number of defective units by identifying and eliminating causes of variation.
4. Pareto Analysis: Also known as the 80/20 rule, this principle suggests that 80% of problems are often due to 20% of causes. A practical application could be analyzing customer complaints to focus on fixing the most common issues first.
5. Check Sheets: These are simple, yet effective tools used to collect data in real-time at the location where the data is generated. A manufacturing floor worker might use a check sheet to record the number of items that fail a particular quality test.
6. Cause and Effect Diagrams: Often referred to as fishbone diagrams, these help identify the root causes of a problem. For example, a fishbone diagram could be used to determine the reasons behind a decrease in product quality.
7. Kaizen (Continuous Improvement): Kaizen is a strategy where employees at all levels of a company work together proactively to achieve regular, incremental improvements to the manufacturing process. An example of Kaizen could be a weekly meeting where workers discuss potential small changes to improve workflow.
8. 5S: This is a workplace organization method that uses a list of five Japanese words: seiri, seiton, seiso, seiketsu, and shitsuke. These translate to sort, set in order, shine, standardize, and sustain. A clean and well-organized factory floor is a prime example of 5S in action.
By integrating these tools and techniques into the production process, companies can not only maintain but continually enhance the quality of their products. This commitment to quality control is what ultimately builds a brand's reputation for reliability and excellence in the eyes of consumers worldwide. It's a testament to the fact that when it comes to production, quality is not just a goal; it's the very essence of the process.
Quality Control Tools and Techniques - Quality Control: Quality Control in Production: Ensuring Excellence at Every Step
Training and development are pivotal in the realm of quality control, where precision and adherence to standards are paramount. Quality Control Teams are the guardians of excellence, ensuring that products not only meet but exceed the expectations set forth by both the company and its customers. The journey towards achieving and maintaining this level of excellence is continuous and requires a well-structured training and development program. Such programs are designed to equip team members with the latest methodologies, tools, and mindsets necessary to identify, analyze, and rectify quality issues before they reach the customer.
From the perspective of a new employee, training begins with a comprehensive understanding of the company's quality standards and the role they play in the larger production process. For seasoned professionals, development focuses on refining skills and staying abreast of industry advancements. Here's an in-depth look at the components of an effective training and development program for Quality Control Teams:
1. Onboarding and Orientation: New team members undergo an orientation process that introduces them to quality control protocols, company standards, and the importance of their role in maintaining product integrity.
2. Technical Training: Team members receive training on the specific tools and equipment they will use. For example, a technician might learn to operate a 3D imaging device that detects manufacturing defects.
3. Process Improvement Methodologies: Quality Control Teams are trained in methodologies like Six Sigma and Lean Manufacturing, which help in streamlining processes and reducing waste.
4. soft Skills development: Communication, problem-solving, and teamwork are essential in a collaborative environment. Teams that communicate effectively can identify and solve quality issues more rapidly.
5. Regulatory Compliance: Teams must be aware of and comply with relevant industry regulations. Training in this area ensures that products meet legal standards and avoid costly recalls.
6. Continuous Education: The field of quality control is ever-evolving. Regular workshops and seminars keep teams updated on the latest trends and technologies.
7. Cross-Functional Training: Understanding the roles of other departments can help Quality Control Teams anticipate potential issues and foster a more holistic approach to quality.
8. Certification Programs: Professional certifications, such as the Certified Quality Engineer (CQE), validate an individual's expertise and commitment to quality.
9. Performance Feedback: Regular reviews and feedback ensure that team members know their strengths and areas for improvement.
10. Leadership Development: Identifying and nurturing potential leaders within the team ensures a future-ready Quality Control department.
For instance, a Quality Control Analyst at a pharmaceutical company might participate in a workshop on the latest good Manufacturing practices (GMP) regulations. This knowledge is crucial when conducting quality audits and helps prevent violations that could lead to severe health risks and legal issues.
The training and development of Quality Control Teams are not just about maintaining standards; it's about fostering a culture of continuous improvement and excellence. By investing in their teams, companies can ensure that their products are not just good enough, but the best they can be. This commitment to quality resonates with customers and builds a reputation that stands the test of time.
Training and Development for Quality Control Teams - Quality Control: Quality Control in Production: Ensuring Excellence at Every Step
In the realm of production, the pursuit of excellence is a relentless journey, not a destination. continuous Improvement and Quality control are the twin pillars that uphold the integrity of this journey. They are not mere strategies but a culture, a mindset that permeates every level of an organization. This approach recognizes that the landscape of production is ever-evolving and that staying static is not an option. It's about making incremental changes that collectively lead to significant enhancements in quality and efficiency.
From the perspective of the shop floor worker, continuous improvement means constantly honing skills and seeking ways to reduce waste. For the manager, it involves fostering an environment where feedback is encouraged and acted upon. And from the customer's viewpoint, it assures them that the products they receive today will be outshone by those they receive tomorrow.
Here's an in-depth look at how continuous improvement and quality control manifest in the production process:
1. Kaizen Philosophy: Originating from Japan, Kaizen emphasizes small, daily changes that lead to major improvements over time. An example is the '5S' framework (Sort, Set in order, Shine, Standardize, Sustain) which helps maintain an organized workspace conducive to quality control.
2. Six Sigma: This data-driven approach seeks to improve quality by identifying and eliminating defects. A Six Sigma success story is Motorola, which saved billions of dollars by implementing these principles.
3. Total Quality Management (TQM): TQM is a holistic approach that involves all employees in quality control processes. For instance, Toyota's 'Jidoka' concept empowers workers to halt production when a defect is detected, ensuring that only high-quality products move down the line.
4. Poka-Yoke (Error-Proofing): This technique involves designing processes in such a way that mistakes are impossible or immediately noticeable. An example is the use of keyed connectors in electronics manufacturing that can only be assembled in the correct orientation.
5. Statistical Process Control (SPC): SPC uses statistical methods to monitor and control production processes. The famous Bell Labs introduced control charts, a key SPC tool, to maintain telephone transmission quality in the 1920s.
6. Lean Manufacturing: Lean focuses on minimizing waste without sacrificing productivity. The 'Just-In-Time' inventory system, pioneered by Toyota, ensures materials are only ordered and received as they are needed, reducing storage costs and waste.
7. ISO Standards: Adherence to ISO quality management standards helps companies ensure they meet customer and regulatory requirements. For example, ISO 9001 certification is a globally recognized mark of quality.
8. Benchmarking: This involves comparing one's business processes and performance metrics to industry bests or best practices. Xerox, for instance, revitalized its business by benchmarking against Japanese competitors.
9. Employee Training and Involvement: Continuous training ensures that employees' skills stay relevant and that they can contribute to quality control. At 3M, employees are encouraged to spend 15% of their time exploring new ideas, leading to innovative products.
10. customer feedback: Integrating customer feedback into the quality control process ensures that products meet or exceed expectations. Companies like Apple are known for their customer-centric approach to product development.
By weaving these strategies into the fabric of their operations, businesses not only enhance their product quality but also foster a culture of continuous improvement that drives the industry forward. It's a testament to the fact that when it comes to quality control in production, the only constant is change, and the only acceptable direction is forward.
Continuous Improvement and Quality Control - Quality Control: Quality Control in Production: Ensuring Excellence at Every Step
Quality control is an essential aspect of production that ensures products meet or exceed customer expectations. It involves a systematic process of checking the quality of products at different stages of production to prevent defects and ensure consistency. This section delves into various success stories in quality control, showcasing how companies have implemented innovative strategies and techniques to enhance product quality and customer satisfaction. These case studies highlight the importance of quality control in maintaining a competitive edge and building a reputation for reliability and excellence.
1. Toyota's "Just-in-Time" Production: Toyota revolutionized quality control with its "Just-in-Time" production system, which aligns inventory orders with production schedules. This approach minimizes waste and defects by producing only what is needed when it is needed. As a result, Toyota has consistently maintained high-quality standards and reduced costs, setting a benchmark in the automotive industry.
2. Six Sigma at Motorola: Motorola's adoption of Six Sigma methodologies transformed its production processes. By focusing on reducing process variation and improving process control, Motorola achieved significant improvements in product quality and operational efficiency. The company's dedication to Six Sigma led to a substantial reduction in defects, earning it the Malcolm Baldrige National Quality Award.
3. General Electric's quality Control circles: General Electric implemented Quality Control Circles, which are small groups of employees who meet regularly to identify, analyze, and solve work-related problems. This initiative empowered employees to contribute to quality improvements and fostered a culture of continuous improvement. The collaborative effort led to enhanced product quality and increased employee engagement.
4. Apple's Supplier Responsibility Program: Apple's commitment to quality extends to its supply chain through its Supplier Responsibility Program. The program sets high standards for suppliers and conducts regular audits to ensure compliance. This proactive approach to quality control has helped Apple maintain the high quality of its products while also promoting ethical and sustainable manufacturing practices.
5. ISO 9001 Certification for small businesses: Small businesses have also found success in quality control by obtaining ISO 9001 certification. This international standard provides a framework for quality management systems that help businesses improve efficiency and customer satisfaction. For example, a small electronics manufacturer implemented ISO 9001 and saw a 30% reduction in customer complaints and a 20% increase in sales within a year.
These case studies demonstrate that effective quality control is not limited to large corporations; businesses of all sizes can achieve remarkable results by prioritizing quality at every step of production. By learning from these success stories, companies can develop their own quality control strategies that align with their unique goals and challenges.
Success Stories in Quality Control - Quality Control: Quality Control in Production: Ensuring Excellence at Every Step
As we look towards the horizon of manufacturing and production, it's evident that the landscape of quality control technology is on the cusp of a transformative shift. The relentless pursuit of excellence has always been at the heart of production, but the tools and methodologies to achieve this are evolving at an unprecedented pace. In this era of rapid technological advancement, the integration of cutting-edge technologies into quality control processes is not just a possibility; it's an inevitability that will redefine the benchmarks of excellence.
1. artificial Intelligence and Machine learning: AI and ML are set to revolutionize quality control by providing predictive analytics and real-time decision-making capabilities. For example, AI algorithms can analyze historical data to predict machine failures before they occur, allowing for proactive maintenance and minimizing downtime.
2. Advanced Robotics: Robotics technology will continue to advance, offering greater precision and flexibility in quality control tasks. Robotic arms equipped with high-resolution cameras and sensors can detect defects that are imperceptible to the human eye, as was demonstrated by a car manufacturer that implemented robotic quality checks to spot minute paint imperfections.
3. Internet of Things (IoT): IoT devices will play a pivotal role in quality control by enabling the collection of vast amounts of data from the production floor. This data can be used to monitor the condition of equipment and the quality of products in real-time. A notable example is the use of smart sensors in packaging lines to ensure the integrity of seals and prevent contamination.
4. augmented reality (AR) and Virtual Reality (VR): AR and VR technologies will enhance the capabilities of quality control personnel by overlaying digital information onto the physical world. For instance, AR glasses can display assembly instructions or highlight areas of a product that require inspection, thus reducing errors and improving efficiency.
5. Blockchain for Traceability: Blockchain technology will provide an immutable record of every step in the production process, ensuring transparency and traceability. This can be particularly useful in industries where provenance and authenticity are crucial, such as in the pharmaceutical industry where blockchain is used to track the production and distribution of medications.
6. 3D Printing for Prototyping: 3D printing will accelerate the prototyping phase, allowing for rapid testing and refinement of products. This means that quality control can begin even before full-scale production, as seen in the aerospace industry where 3D-printed components are rigorously tested for quality before being approved for use.
7. big Data analytics: The analysis of big data will provide deeper insights into quality control processes, identifying patterns and correlations that were previously undetectable. For example, a consumer electronics company might use big data analytics to correlate customer feedback with production data, leading to targeted improvements in product quality.
8. Sustainable quality Control practices: As environmental concerns become more pressing, sustainable quality control practices will be a key trend. This includes the use of eco-friendly materials and processes that not only meet quality standards but also reduce the environmental footprint of production.
The future of quality control technology is one of convergence and innovation, where traditional methods meet advanced technology to create a synergy that propels production quality to new heights. The examples provided illustrate just a glimpse of the potential that these technologies hold, and as they mature and integrate more seamlessly into production lines, the promise of excellence at every step becomes not just an aspiration but a reality.
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