Template Project Proposal and Plan

Question: Discuss about the Template Project Proposal and Plan. Answer: Introduction The research paper deals with the analysis of the technology of cloud computing and its development. The cloud computing technology has helped in bypassing the limitations of cloud system and its implementation in the manufacturing industries (Beach et al. 2013). The research paper would help in forming a general overview of the cloud computing methods that are favorable for the manufacturing industries. The research work would also provide an insight for getting accustomed with the uses of cloud system in manufacturing processes. The manufacturing industries have faced several issues and challenges while improving its production efficiency, quality, and ability (Tao et al. 2014). The emerging technology of cloud computing has helped for forming service oriented architecture and network maintenance for manufacturing industries. The study would help in providing the concept for the core enabled technology and typical characteristics of the cloud computing technologies. The differences and characteristics of cloud computing technologies are reviewed in the research study. The cloud system is distributive and coherent system that can be used for collaborating with the interconnected and distributive system of the manufacturing engineering services and processes. State-of-the-art/Literature Review Cloud computing adoption in manufacturing processes The review of the article Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sector has shown that a number of factors have affect on the process of the cloud computing process. According to Oliveira Thomas and Espadanal (2014), the adoption of cloud system requires a wide area of analysis of these non oblivion and crucial factors. The manufacturing industries would have to make sure that they have analyzed the propagation of these factors in their employed cloud computing system. The determinants of the influence of these factors would show that system developed for the manufacturing industries must be cohesive and the study or research process would be compact. It would show that the analysis of the cloud system development model for the research process has been based on the innovative characteristics of the research process (Liang et al. 2014). The person doing the research had implied that the innovation characteristics of the r esearch from the theory of diffusion of innovation process. The data has been collected by the writer for forming the research on the topic. Diffusion of Innovation (DoI) and the TOE or Technology Organization Environment have been implied for comprehending the process of cloud computing implementation (Jiao et al. 2013). The data collected for the research is from over 300 firms of Portugal and these data have been tested for providing the hypothesis of the research process. The study has also shown some segments of the cloud system in service sectors. Overall the research has outlined the adoption of the system of the cloud computing technology in the industrialized and service prone sectors. Hence, the first research article has shown that a number of factors have affected the process of the cloud computing process (Ben-Yehuda et al. 2012). The adoption of cloud system requires analyzing the propagation of these factors in their employed cloud computing system. The overall conclusion of the article research has outlined the adoption of the system of cloud computing technology in the industrialized and service prone sectors. Digital manufacturing using Cloud system The article of Cloud based design and manufacturing: A new paradigm in digital manufacturing and design innovation has been selected for reviewing and understanding the cloud computing system in manufacturing industries. The article has shown the advent of new paradigm for the process of digital and cloud base manufacturing (Wu et al. 2015). The new and innovative design of the cloud system would help in providing the ease of manufacturing and processing of the processes. The common key characteristics of the cloud based manufacturing system have also been identified in the study analysis. The service oriented development model for networked products have been analyzed in this article. The cloud system model has been considered as the development model for the consumers with active services of enabling, configuring, utilizing and selecting the customized products. These products have services that are ranging from the computer assisted software of reconfigurable nature for the manufa cturing system. The research of the article has been focused on the aspects such as computing architectures, collaboration processes, and programming models (Rajabi Bigga Bartl 2015). The articles has critically evaluated the cloud system in manufacturing by referring to the question of whether the use of cloud system has provided the new paradigm for the manufacturing industries or the system is just a mere addition to the old process. The analysis of the definitions and processes of the cloud system and its implementation in manufacturing industries have helped in understanding the aspects and benefits of cloud system (Xu et al. 2012). A check list has been made for justifying the conclusion from the research. The comparative analysis of the cloud based design manufacturing with the collaborative traditional design of the manufacturing system would provide ample reference for knowing whether the manufacturing process with the cloud based system would be better or not. A sample ex amination of cloud based manufacturing system is smart delivery drones. It has integrated and formulated the cloud based design manufacturing in its services and processes. Hence, the second research article has shown that the Cloud based modeling had formed a new pattern in digital design and manufacturing innovation (Ji et al. 2012). The new and innovative design of the cloud system has also been identified from the study analysis. The comparative analysis of the cloud based design manufacturing with the collaborative traditional design would show the usefulness of the cloud based system. Simulation using cloud computing for engineering and manufacturing The article of Cloud computing for simulation in manufacturing and engineering: introducing the cloud SME simulation process has been analyzed for getting accustomed with the role of cloud computing in manufacturing and engineering industries by using the simulation technique. According to Taylor et al. (2014), the simulation software would be helpful for knowing the benefits of cloud computing in manufacturing and engineering process. The analysis would require using scalable and demanding resources for speeding the development of the process composed from simulating and modeling services. This computing simulation would help in providing the benefit of the developed appropriate expertise on the complex technologies. The cloud simulation technology used in this article is SMaaS and it has been based on the gUSE and Cloud Broker technologies. The system has been used for creating the cloud computing versions for the simulation of the cloud computing simulating software such as Simul8 s discrete event simulation environment (Ji et al. 2012). The research paper has discussed about the platform used for implementing the simulation software for cloud based and the process for implementing the system. Hence, the third research article has shown the analysis of cloud system for knowing the role of cloud computing in manufacturing as well as engineering industries by using the simulation technique (Ben-Yehuda et al. 2012). The research paper has discussed about the platform used for implementing the simulation in the computing system. Theoretical Content/Methodology Theoretical content of the research The primary goal of the research process is formulating the process of analysis of the cloud computing system for the manufacturing industry (Billig Waterman 2014). It would provide the information for the analysis of the cloud computing and its use in manufacturing industries. The technology is useful for converting the manufacturing resources into services and capabilities. It would help in managing and operating the system in a unified and intelligent way for enabling the compact and wholesome sharing of the resources. The concept of manufacturing refers to the complete lifecycle of the product such as designing, simulating, production, testing and maintenance (Tomandl et al. 2015). The cloud system consists of parallel and distributed network system for forming the integrated and interconnected service pool for manufacturing resources involved in the whole lifecycle. Methodology used for research The methodology used for the research analysis of the topic Cloud computing contribution to the manufacturing industry is Meta Analysis which is a hybrid of qualitative and quantitative (Kratochwill Levin 2015). It would be the best method for analysis of the research process. The research topic has not many researches being done and it is also not possible for concluding the outcome using the data collected from a single organization. Hence the process of Meta Analysis would be easily helpful for examining a wider area of research for the topic. Steps for the research process The steps taken for completing the research on the topic of Cloud computing contribution in the manufacturing industries are: Steps What is being done Step 1: Selecting the parameters of the research study The parameters for the research process is being selected and it would be the base on which the whole research process would be done (Craig et al. 2012). Step 2: Collecting the data from the different resources The data available at different sources on the topic of cloud computing in manufacturing industries are being collected. Step 3: Developing the experimental setup for the research process The experimental setup would be developed for the research method. Step 4: Reviewing the setup made The integrity and accuracy of the experimental setup is being examined (Chai Huo 2014). Step 5: Development of the research methodology The research methodology is being made from the analysis of the above said steps Step 6: Selecting the experimental technique The techniques best suitable for the research process is being selected Step 7: Collecting the primary data for the research The data from the primary source is being collected for examining Step 8: Analysis of the data collected and interpreting the experimental values The data collected overall is being analyzed in this step. The experimental data is evaluated and interpreted for forming a suitable solution for the research process (Yan 2014) Step 9: Finding the data The accurate and appropriate data is being used for forming the conclusion of the research study Step 10: Concluding the research study The research process is concluded with the appropriate and suitable inference Experimental Set-up The experimental setup would be based on the research methodology used for the analysis of the process (Nie 2015). The experimental setup consists of some questions and processes for finding out the importance of the cloud computing contribution in the construction industry. A questionnaire is being formed for asking the persons of a specific organization about the cloud computing system. The questionnaire is: Questions Answers Is cloud system beneficial for the construction industry? Yes No Do not know Should the cloud system be used in all the construction industries? Yes No Do not know Do you have any prior knowledge about the cloud system? Yes No How many types of cloud computing system can be used for the construction industries? 1 2 More than 2 Would you prefer the new cloud system or the traditional system in your organization? Yes No Why Cloud system is more usable for the construction industry? Specific reason Do not know Are you satisfied with the development of the cloud system? Yes No What is the most important function of the cloud system for any organization? Control over upgrades Global reach What is the flaw in the cloud system that would harm the construction industry? Specific reason Do not know Results, Outcome and Relevance The results of the research have been done by using the process of the Meta Analysis research methodology (Forbes.com 2016). The analysis of the data from different research literatures are: 49% of the respondents present in the manufacturing and distribution industries were unknown to the difference between the multi and single tenant SaaS architectures. 36% of the total respondents were not aware with the cloud system at all. 22% of the manufacturing and distribution software includes SaaS based applications abd it has a potential to raise to 45% in the coming year. The most important characteristics of the cloud service solution is providing the customers with option of upgrade and control over its installation The cloud service has provided the consistent support for the global operations of the organizations. The cloud system has provided the system for rapid and frequent upgrades in the manufacturing industry. Project Planning and Gantt chart Project Planning Task Name Duration Start Finish Predecessors Cloud Computing in Manufacturing Industries Project 37 days Mon 11/21/16 Tue 1/10/17 Selection of the parameters 4 days Mon 11/21/16 Thu 11/24/16 Data collection from secondary sources for the experiment 10 days Fri 11/25/16 Thu 12/8/16 2 Developing experimental setup 2 days Fri 12/9/16 Mon 12/12/16 2,3 Setup review 1 day Tue 12/13/16 Tue 12/13/16 4 Development of research methodology 5 days Wed 12/14/16 Tue 12/20/16 5 Selection of the experiment technique 4 days Wed 12/21/16 Mon 12/26/16 6 Primary data collection 3 days Tue 12/27/16 Thu 12/29/16 7 Analysis Interpretation of collected Data from the experiment 5 days Fri 12/30/16 Thu 1/5/17 7,8 Findings of the Data 1 day Fri 1/6/17 Fri 1/6/17 9 Conclusion of the Study 2 days Mon 1/9/17 Tue 1/10/17 10 Gantt Chart Conclusions The research paper has helped in bypassing the limitations of the cloud system implementation in the manufacturing industries and getting a general overview of the cloud computing methods that are favorable for the manufacturing industries. The emerging technology of cloud computing has helped in forming service oriented architecture and network maintenance for manufacturing industries. However, the analysis of the three articles has shown that the adoption of cloud system requires analyzing the propagation of some factors, the new and innovative design of the cloud system has also been identified from the study analysis, and it has discussed about the platform used for implementing the simulation in the computing system. The results of the research system has shown that 49% of the respondents were unknown to the difference between the multi and single tenant SaaS architectures, 36% of the total respondents were not aware with the cloud system at all, and 22% of the manufacturing and distribution software includes SaaS based applications. References Beach, T.H., Rana, O.F., Rezgui, Y. Parashar, M., (2013). Cloud computing for the architecture, engineering construction sector: requirements, prototype experience.Journal of Cloud Computing: Advances, Systems and Applications,vol. 2, no.1, p.1. Ben-Yehuda, O.A., Ben-Yehuda, M., Schuster, A. Tsafrir, D., (2012, June). The resource-as-a-service (RaaS) cloud. InPresented as part of the. Billig, S.H. and Waterman, A.S. eds., (2014).Studying service-learning: Innovations in education research methodology. Routledge. Chai, H. Huo, J., (2014), May. Construction and Application of Cloud Data Center in University. InInternational Conference on Logistics Engineering, Management and Computer Science (LEMCS 2014). Atlantis Press. Craig, P., Cooper, C., Gunnell, D., Haw, S., Lawson, K., Macintyre, S., Ogilvie, D., Petticrew, M., Reeves, B., Sutton, M. Thompson, S., (2012). Using natural experiments to evaluate population health interventions: new Medical Research Council guidance.Journal of epidemiology and community health, pp.jech-2011. Flick, U., (2015).Introducing research methodology: A beginner's guide to doing a research project. Sage. Forbes.com. (2016).Forbes Welcome. [online] Available at: https://www.forbes.com/sites/louiscolumbus/2013/05/06/ten-ways-cloud-computing-is-revolutionizing-manufacturing/#46c154c252d8 [Accessed 20 Oct. 2016]. Ji, C., Li, Y., Qiu, W., Awada, U. Li, K., (2012, December). Big data processing in cloud computing environments. In2012 12th International Symposium on Pervasive Systems, Algorithms and Networks(pp. 17-23). IEEE. Jiao, Y., Zhang, S., Li, Y., Wang, Y. Yang, B., (2013). Towards cloud augmented reality for construction application by BIM and SNS integration.Automation in construction,vol. 33, pp.37-47. Kratochwill, T.R. Levin, J.R. eds., (2015).Single-Case Research Design and Analysis (Psychology Revivals): New Directions for Psychology and Education. Routledge. Liang, Y., Zhang, Z., Fan, J. Tang, L., (2014). A Construction Strategy for Cloud Robotic System.Sensor Letters,vol. 12, no. 2, pp.255-259. Mackey, A. Gass, S.M., (2015).Second language research: Methodology and design. Routledge. Nie, J., (2015), December. Research on Mobile Learning Platform Construction in Higher Vocational Colleges Based on Cloud Computing. In2015 11th International Conference on Computational Intelligence and Security (CIS)(pp. 91-94). IEEE. Oliveira, T., Thomas, M. Espadanal, M., (2014). Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors.Information Management,vol. 51, no. 5, pp.497-510. Rajabi, M., Bigga, T. Bartl, M.A., (2015). Cloud based BIM solution for tender estimation regarding mechanical electrical and plumbing (MEP) trades. Silverman, D. ed., 2016.Qualitative research. Sage. Tao, F., Cheng, Y., Da Xu, L., Zhang, L. Li, B.H., (2014). CCIoT-CMfg: cloud computing and internet of things-based cloud manufacturing service system.IEEE Transactions on Industrial Informatics,vol. 10, no. 2, pp.1435-1442. Taylor, S.J., Kiss, T., Terstyanszky, G., Kacsuk, P. Fantini, N., (2014, April). Cloud computing for simulation in manufacturing and engineering: introducing the CloudSME simulation platform. InProceedings of the 2014 Annual Simulation Symposium(p. 12). Society for Computer Simulation International. Tomandl, M., Mieling, T., Kroon, C.M.L.V., Hopf, M. Arndt, M., (2015). Simulated interactive research experiments as educational tools for advanced science.Scientific reports,vol. 5 Wu, D., Rosen, D.W., Wang, L. Schaefer, D., (2015). Cloud-based design and manufacturing: A new paradigm in digital manufacturing and design innovation.Computer-Aided Design,59, pp.1-14. Xu, X., (2012). From cloud computing to cloud manufacturing.Robotics and computer-integrated manufacturing,vol. 28, no. 1, pp.75-86. Yan, Z., (2014). Construction of Green Information Retrieval System Based on Cloud Computing.