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Design and build a control system of aDairy Refrigeration system toadapt the optimal use of cooling product to their standard temperatures. The completed system will enable the user to easily adjust the temperatures of the system. The temperature sensors should be accurate and calibrated and act accordingly to the preselected temperature.

Answer:

In this research, therefore, a methodology of qualitative research and case study approaches were applied.  This was in connection to the complexity and specificity of the phenomenon alongside the research problem nature and the quest for exploration in details.  To comprehend this thesis, various components were put together. For instance, in the design section, five defined steps, three data gathering methods and detailed expectations in each level with practical nature. Various data collection methods were used. These included interviews analysis of documentation and workshops. This was in line with the case company.  in this approach, the first thing to be done was carrying out analysis of the current state to get a detailed understanding of the existing company’s practices on 3D engineering. Then this section was followed by the literature review.  Apart from analyzing the previous works of some scholars the literature review also focused and proposal buildings that followed.

Moreover, this thesis research paper revealed the difficulties in the adaptation of new engineering software which will assist in the coordination of the automation company. In the analysis of the current state, the critical findings in line with the non-efficient flow of work, sluggish distribution of responsibilities and roles for support and development, barrier in departmental collaboration and communication in the engineering field. Based on the use of the conceptual framework which was developed in the literature review and the suggestions made by stakeholder, the research proposes an improvement of cross-function that can be used by the case company in delivering and developing engineering work effectively.


With the proposed practices, there can be an improvement in the case company on the 3D engineering processes. Again, to deal with and focus on developing common and standard software that performs engineering works and in the end attain the highest level where the technology of 3D can support the performances of the engineering works with the use of process reconfiguration. The system should also give a provision that allows changes of environmental analysis. The study also shows the building logics of a new process within the context of the cross-function. This also takes into account on a local scale the internal features of the separate departments and to some level, the impacts of environmental global. Approval has been made on the proposed practices by the case company and thus will be applied in the times to come. The action plan proposed gave the case company an opportunity to implement the changes after the study had been concluded.

Problem Definition

Design and automation is a technique which helps companies in improving their overall competitiveness as far as the product is concerned.  Thus, the adoption of the automation design is needed in handling and allowing for the ease of reconfiguring the designed product.  The analogy is necessary when handling the products which require daily routine as well as overall repetitive design. The automation of the design process more so for handling the products in the manufacturing industries are viable and assist in hasting the product lead-time, efficiency as well as assisting in the overall cost estimate management. Furthermore, the analogy on the product automation and design ensure that the product meets the set criteria as well as provides that there is immense optimization.

Current State

Most companies have been faced with the challenge of adopting design automation and the related system. The main problem has been on the concept and the best format as well as the identification approach to be utilized in the implementation process. The area under which the chosen concept should be implemented as well as the reason why it has to implemented continues to pose a makeable problem. Preferably, the concept definition is the immense aspect which represents a makeable problem when dealing the design automation. In essence, the definition of the needs in line with the system often makes it even harder to handle the issue at hand. Furthermore, there is a close correlation in dealing with and defining the link as well as the overall process of eliciting the emerging needs regarding the system  (I?toan and De Dinechin 2017 p. 704).

There are various issues which one need to consider when handling the implementation process entailing the designs as well as the overall automation systems. The limitations often are essential when managing the companies which have scale operations and thus, the total financial, as well as human resources, tend not to exceed the set needs in line with the implementation processes. For instance, the development of the automation ranges to a tune of $60000 for small-scale operators whereas the value is set at a makeable $800000 in line with the large-scale manufacturing firms. The analyzed costs tend to incorporate the cost required for human resources as well as application software. Also, the prices are also necessary for the overall documentations,  implementation as well as the system development process. Thus, the total cost in line with the automation design tends to be an elaborate analogy and therefore, sometimes challenging to appraise in the process. Subsequently,  there is the global demand as well as growth in line with the automation design in the industries. The overwhelming growth mainly forecast via the estimated graph depicted in the illustration below (I?toan and De Dinechin 2017 p. 704).

Figure  Showing the Global Automation Forecast

Business Objectives

There two main business objectives mainly employed in line with this study and these are discussed as indicated below (I?toan and De Dinechin 2017 p. 704).

Qualitative Goals 

The primary aim of this process is to ensure that the learner gathers required skills in line with design automation and overall works. The knowledge acquired will be of esential advantage and will help the individual in design and the global product development.

Quantitative Goals

This appraisal focuses on the financial advantages which the system has in the long run. The analysis and the analogy regarding the norm mainly illustrated and evaluated as indicated in the figure below (Dai et al.  2018).

Figure Showing the Cash Forecast and  the Quantitive Benefits Analysis (Harding and Shepherd 2017)

Benefits

The overwhelming advantages which the system has often are undisputable in most cases.  In essence, the process entails the adoption of the designs which helps in attaining the competitiveness in the market. The involvement of the stakeholders in the process assists one in actualizing the makeable benefits which the system has in the long run.some of the advantages which the system have to include the overall applicability and the realization alongside the implementation process. Furthermore, there are market-related advantages which one need to consider and incorporate in the design works. Some of the essential elements in line with the whole process mainly illutsrated as indicated in the analogy and the evaluation below  (Zimmermann, Chen and Shea 2018 p.189).

Figure Showing the Correlation between the Market Benefits and the Overall Automation (Walasek and Barszcz 2017 p.1227)

Furthermore, there are various test benefits in line with the automation designs. The analogies regarding the benefits mainly illustrated as indicated in the graph below (Guo et al. 2018).

Figure Showing the Test Automation Design Advantages (Di Tria, Lefons and Tangorra 2017 p.47).

Limitations 

There are various limitations which the companies applying the concept of automation designs tend to face. The approach is of immense advantages as compared to the traditional design system.  The design process often applied mainly outlined as indicated in the illustration below (Beerel and Pedram 2018, May).

However, there are some limitations which often arises from the overall parametric process. Some of the restriction mainly includes limited data on the previous design, lack of proper research on the market requirements (Dai et al.  2018).

Conclusion 

In summary, this paper appraised the automation design works.  The analysis mainly classified into three key sections, the executive summary, problem definition as well as the benefits which the overall learning process has in the long run.  The appraisal mainly used in the evaluation as well as in the manufacturing process. The learning of the automation at the masters levels helps one in developing the immense knowledge as well as wide understand in the process and  the overall design works.

References

Beerel, P.A. and Pedram, M., 2018, May. Opportunities for Machine Learning in Electronic Design Automation. In Circuits and Systems (ISCAS), 2018 IEEE International Symposium on(pp. 1-5). IEEE.

Dai, G., Huang, T., Chi, Y., Zhao, J., Sun, G., Liu, Y., Wang, Y., Xie, Y. and Yang, H., 2018. GraphH: A Processing-in-Memory Architecture for Large-scale Graph Processing. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Di Tria, F., Lefons, E. and Tangorra, F., 2017. Cost-benefit analysis of data warehouse design methodologies. Information Systems, 63, pp.47-62.

Guo, T., Xu, J., Sun, Y., Dong, Y., Davis, N. and Allison, J.T., 2018. Network analysis of design automation literature. Journal of Mechanical Design, 140(10), p.101403.

Harding, J.E. and Shepherd, P., 2017. Meta-parametric design. Design Studies, 52, pp.73-95.

I?toan, M. and De Dinechin, F., 2017, March. Automating the pipeline of arithmetic datapaths. In 2017 Design, Automation & Test in Europe Conference & Exhibition (DATE) (pp. 704-709). IEEE.

Walasek, D. and Barszcz, A., 2017. Analysis of the adoption rate of building information modeling [BIM] and its return on investment [ROI]. Procedia Engineering, 172, pp.1227-1234.

Zimmermann, L., Chen, T. and Shea, K., 2018. A 3D, performance-driven generative design framework: automating the link from a 3D spatial grammar interpreter to structural finite element analysis and stochastic optimization. AI EDAM, 32(2), pp.189-199.

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