Product Selection

Question:

Discuss About The Wearable Implantable Body Sensor Networks?

In order to manage and drive the operational and product excellences, the FORD Motor company has come up with an innovative approach. On the other hand, the DRM associated have specialized in the New Product Development (NPD) and application of the best practices. All these tasks are meant to develop complicated products existing in various industries.

Firstly, the report has selected the product that satisfies a human need. Secondly, it analyzes the IPPD principles. This also includes the possible phases for the product realization. Next, it suggests the manufacturing business process required to produce the product. Lastly it describes the integrated product development process.

 In this report, the Smart Earpiece Language Translator is selected that has been satisfying the basic human needs. The development of the Smart Earpiece has been expensive and fraught with subjectivity and difficulties (Khurana et al., 2017). This development problem has been the resistance to the innovation because of high research cost. This also includes the disability of communication between the sectors included and the hardness of the organizations about the market research.

The Smart Earpiece industry has been paradoxical in nature. The consumer has been a challenging factor here due to conservative habits of consumption. The development of the Smart Earpiece Language Translator has been expensive and fraught with subjectivity and difficulties. Thus the rate of failure has been huge. However, the project could lack systemization and definition and thus provide high rate of failure (Alshaal et al., 2016). In most of the mechanical sectors, the projects have been on the basis of the empirical procedures, and the experiences, skills, and knowledge of the individuals. The loss on the Smart Earpiece affects the strategic or financial results of the organization. It also creates outcomes in the context of the security of Smart Earpiece, especially of that sector.

Figure 1 (Ochoa, A. May 25, 2016).

The principles and applications of the processing have been a comprehensive resource exploring the primary and applied aspects of the Smart Earpiece Language Translator. Special emphasis is required to be made on some universally utilized commercial processes. The IPPD principles have been including the following.

• Integrated Teaming
• Shared Vision
• Concurrent Engineering

 The IIPD phases are described below:

This has been accomplished through incorporating the clients in decision-making on various multidisciplinary teams.

Concurrent development of products and processes:

This has been referring to development happening simultaneously of to the deliverable products along with development and deliverable process (van Nieuwmegen, 2017).

Phases of Product Realization

The early and continuous life-cycle planning:

This has been accomplished through having the stakeholders, denoting every aspect of the life-cycle of the products as an element of the IPT.

The proactive identification and management of risk:

This could be accomplished by various methods in the environment of IPPD. Through the using of the approaches of the IPT teamwork, the customers, testers, manufactures, designers have been working together nursing that the product has been fulfilling the customer requirements.

The maximum flexibility for optimization and use of contractor approaches:  IPPD is a management approach, not a specific set of steps to be followed (Lefeuvre et al., 2016).

According to Andrew OchoaMeet the Pilot: Smart Earpiece Language Translate, 

“ June 2014: Concept and Feasibility Study  

November 2014: Market Research and Industrial Design

April 2015: Early Software Prototype of Machine Translation System

September 2015: Proof of Concept

March 2016: Software Prototype

April 2016: Design Prototype

End of Phase I

Software prototype, design prototype, hardware component selections, preliminary testing

March 2016

Indiegogo Preorder

Campaign

Begin Phase II

Scalable software infrastructure, hardware engineering validation testing, manufacturing and delivery

August 2016: Phrasebook Translation App

September 2016: Contract Manufacturer Selection

November 2016: Test Samples from Manufacturer

December 2016 – January 2017: Beta Units for Testing

May 2017: First Production Run Ready for Delivery to Early Bird Preorders to Experience the Future”   (Ochoa, A. May 25, 2016).

The lists are described below.

Concept and Feasibility Study:

The economic viability and the technical feasibility of every product are to be recognized in the phases with in-depth data of engineering needed at every level.

Market Research and Industrial Design:

At this place, the design team has been taking the first designing idea for the products and tests that out on the general public or potential customers. These are done by the interviews, making questionnaires and other activities.

Early Software Prototype of Machine Translation System:

The machine translation system has been used to investigate the usage of software for translating the text to the speech. This is to be done from one language to other (Murphy et al., 2017).

Proof of Concept:

The proof is to be derived typically from the pilot project and experiment. This analyzes the concept of design the business proposal and so on has been feasible.

Software Prototype:

This has been the activity to create the prototypes of the software applications. This indicates the incomplete version of the software program needed to be developed.

Manufacturing Business Process

A product development plan could be created providing the in-depth roadmap. This is to done for establishing the timeline, cost, and scope for the guiding the idea to the industrial design and mechanical design. This is to be done via the design prototype.

The manufacturing processes have been including the following.

Casting:

This has been the most commonly used to create the complicated shapes that could be uneconomical or hard to be created by any other methods (Marshall et al., 2017).

Imaging and coating:

The reason for this process has been to be both functional and decorative individually or at the same time. The coating has been the denoting the all-over coating. It has been entirely covering the substrate or might be covering any portion of that substrate.

Molding:

This has been the method of manufacturing through the shaping of liquid or any raw material. This is done through a rigid frame known as matrix or mold.

Forming:

This has been operating on the materials based on the principles of plastic deformation. Here the physical shape of the material gets deformed permanently.

Machining:

This is one of the numerous processes where the prices of raw materials has been cut into the expected sizes and shapes through the process of material removal controlled totally.

Joining:

This has been including the brazing, sintering, adhesive bonding, screwing and others.

Additive manufacturing:

This includes the direct metal laser sintering and the fused deposition modeling (Jeslin, Vaishnavi & Nivedha, 2015). There has been also considering the laser engineering net shaping, selective engineered net shaping, 3D printing, stereolithography, and others.

Other processes:

This has been including the packaging and labeling, logistics, and various other methods.

Conclusion:

The real-time translations have been used in the domain of the human beings. However, the machine translation has been evolving to a large extent delivering largely accurate outcomes at an instant. The report has described the IPPD principles for developing the Smart Earpiece Language Translation product that has been involving the integrated teaming, shared vision and the concurrent engineering. The list of the steps for the engineering design of the product is the concept and feasibility study, market research and industrial design, early software prototype of machine translation system and much more. The integrated product development process has been considering the understanding the needs of the customers and managing the requirements, planning and managing the product development and so on.

References:

Alshaal, S. E., Michael, S., Pamporis, A., Herodotou, H., Samaras, G., & Andreou, P. (2016, June). Enhancing Virtual Reality Systems with Smart Wearable Devices. In Mobile Data Management (MDM), 2016 17th IEEE International Conference on (Vol. 1, pp. 345-348). IEEE.

Farooq, M., & Sazonov, E. (2016). Segmentation and characterization of chewing bouts by monitoring temporalis muscle using smart glasses with piezoelectric sensor. IEEE journal of biomedical and health informatics.

Hennig, N. (2016). Natural user interfaces and accessibility. Library Technology Reports, 52(3), 5-17.

https://www.indiegogo.com/projects/meet-the-pilot-smart-earpiece-language-translator-headphones-travel#/

Jeslin, J., Vaishnavi, A., & Nivedha, J. (2015). management of smart cane to detect and notify obstacles. International Journal of Engineering Research & Technology, 4(2).

Khurana, D., Koli, A., Khatter, K., & Singh, S. (2017). Natural Language Processing: State of The Art, Current Trends and Challenges. arXiv preprint arXiv:1708.05148.

Lefeuvre, K., Berger, A., Kurze, A., Totzauer, S., Storz, M., & Bischof, A. (2016, October). Smart Connected Sensations: Co-Creating Smart Connected Applications through Distributed Serendipity. In Proceedings of the 9th Nordic Conference on Human-Computer Interaction (p. 88). ACM.

Marshall, M. T., Dulake, N., Ciolfi, L., Duranti, D., Kockelkorn, H., & Petrelli, D. (2016, February). Using tangible smart replicas as controls for an interactive museum exhibition. In Proceedings of the TEI’16: Tenth International Conference on Tangible, Embedded, and Embodied Interaction(pp. 159-167). ACM.

Murphy, A., Farley, H., Dyson, L. E., & Jones, H. (Eds.). (2017). Mobile learning in higher education in the Asia-Pacific region: harnessing trends and challenging orthodoxies (Vol. 40). Springer.

Ochoa, A. (May 25, 2016). Meet the Pilot: Smart Earpiece Language Translator. Retrieved from

Rosa, B. M., & Yang, G. Z. (2017, May). Smart wireless headphone for cardiovascular and stress monitoring. In Wearable and Implantable Body Sensor Networks (BSN), 2017 IEEE 14th International Conference on (pp. 75-78). Management.

van Nieuwmegen, O. (2017). QuantiFire Smart Technology for Future Firefighters.