Discuss The Current Business Process In A Specific Industry ✓ Solved

Discuss The Current Business Process In A Specific Industrynote The F

Discuss the current business process in a specific industry. Note the following:

  • The current business process itself.
  • The industry the business process is utilized in.

After explaining the current situation, take the current learning from the course and:

  • Explain a new technology that the business should deploy. Be specific, don’t only note the type of technology but the specific instance of technology. (For example, a type of technology is smart automation a specific type of automation is automated light-dimming technology).
  • Note the pros and cons of the technology selected.
  • Note various factors the business should consider prior to deploying the new technology.

The above submission should be three pages in length. Remember the total length does not include the APA approved cover page or the references. There should be at least three APA approved references to support your work.

Paper For Above Instructions

The rapid evolution of technology and market dynamics has led companies across various industries to adapt their business processes continuously. In this paper, we will discuss the current business process in the manufacturing industry, focusing specifically on the production of consumer electronics. Following this, we will explore a specific technology that should be deployed to enhance efficiency and output, analyze its advantages and disadvantages, and consider the factors that must be evaluated before its implementation.

Current Business Process in the Consumer Electronics Manufacturing Industry

The consumer electronics manufacturing industry has traditionally relied on assembly line production methods, characterized by a series of sequential tasks that products undergo until they are fully assembled. The current business process involves multiple stages, including design, prototyping, sourcing of materials, production, quality assurance, and distribution.

The design phase involves collaborative efforts among product designers and engineers to create innovative products that meet market demands. This is followed by a prototyping stage where initial models are built, tested, and refined based on feedback. Sourcing materials involves collaborating with suppliers to obtain components needed for production, often relying on Just-In-Time (JIT) inventory strategies to reduce storage costs.

During the production phase, assembly lines often operate under a lean methodology, focusing on minimizing waste and maximizing value. Key performance indicators (KPIs) such as cycle time, inventory turnover rates, and defect rates are monitored closely. The quality assurance phase includes extensive testing of the final products to ensure they meet regulatory standards and customer requirements.

Finally, products are distributed to retailers or directly to consumers through various channels, including online platforms. The supply chain's efficiency is critical, as timely delivery can significantly influence consumer satisfaction and company profitability.

Proposed Technology: Smart Manufacturing with IoT Integration

To enhance the current business process, the manufacturing industry should consider deploying smart manufacturing technologies, particularly those integrating the Internet of Things (IoT). An example of specific IoT technology applicable here is predictive maintenance systems used in machinery and equipment.

Predictive maintenance leverages sensors and data analytics to monitor the performance of manufacturing equipment in real-time. This technology allows companies to anticipate equipment failures before they occur, thus reducing downtime and maintenance costs. For example, a manufacturer can use IoT sensors to track the performance of a conveyor belt system and predict when it may require servicing, based on historical data and usage patterns.

Pros of Smart Manufacturing with IoT

  • Reduced Downtime: With predictive maintenance, manufacturers can schedule repairs only when necessary, leading to less interruption in production.
  • Cost Savings: By avoiding unplanned equipment breakdowns, companies can reduce maintenance costs and improve overall efficiency.
  • Data-Driven Decisions: IoT devices provide real-time data, enabling organizations to make informed decisions about operations and resource allocation.
  • Enhanced Productivity: By optimizing machine performance and reducing wait times, production processes become more efficient.

Cons of Smart Manufacturing with IoT

  • High Initial Investment: Implementing IoT technology may involve significant upfront costs for equipment, software, and training.
  • Data Security Risks: With increased connectivity, the potential for cyberattacks rises, necessitating strong cybersecurity measures.
  • Complexity in Management: Integrating IoT into existing manufacturing processes can be complex, requiring skilled personnel to manage systems.

Factors to Consider Prior to Deployment

Before implementing IoT-based predictive maintenance technology, several factors must be considered:

  • Assessment of Current Infrastructure: Companies should evaluate their existing equipment and technology to determine compatibility with IoT solutions.
  • Staff Training: Employees will require training on new technologies to ensure successful implementation and maximize the benefits.
  • Data Management Strategies: Organizations need to establish robust data analytics and management frameworks to handle the vast amounts of data generated by IoT devices.
  • Scalability: It's imperative to consider how easily the IoT solution can scale with the growth of the business and adapt to future technological advancements.

Conclusion

The consumer electronics manufacturing industry is at a critical juncture where the integration of technology can significantly improve business processes. Deploying predictive maintenance systems utilizing IoT technology presents an opportunity to enhance efficiency and reduce operational costs. However, it is essential for organizations to weigh the benefits against the challenges and carefully consider various factors before proceeding with this technological shift.

References

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  • Gunasekaran, A., & Ngai, E. W. (2009). Information systems in supply chain integration and management. EPiC Series in Computing, 1, 261-272.
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  • Venkatesh, V., & Bala, H. (2008). Technology acceptance model: A critical analysis of theoretical extensions and future research directions. IEEE Transactions on Engineering Management, 55(3), 325-340.
  • Schroeder, R. G., & Robinson, R. B. (2018). The lean six sigma guide to doing more with less: Cut costs, reduce waste, and lower your overhead. New York: McGraw-Hill Education.
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