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Cloud Computing for Geospatial Big Data Analytics pp 111–136Cite as

Cloud Based Supply Chain Networks—Principles and Practices

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Part of the book series: Studies in Big Data ((SBD,volume 49))

Abstract

Cloud computing services are growing and developing at a rapid pace. The growth of cloud services is taking place in various forms that are suitable for various applications. Cloud computing as a computing service caters to the needs of various applications by providing a distributed environment for computing services. The services are useful in managing various engineering and management processes in the supply chain network (SCN). A supply chain network is encapsulated with challenges related to capital costs, operational costs, timely availability of information, management information system and overhead costs. Cloud computing services offer services that helps in minimizing the problems related to the challenges faced and thereby increases the productivity of the supply chain network. The supply chain firms can benefit from cloud services by way of reduced capital expenditure and reduced operational costs. Supply chain firms can be decentralized units which can utilize fog computing in which data and applications are distributed logically between data points and cloud. Also, emerging concepts of mist computing can be helpful wherein the system architecture pushes the processes nearer to the data source in a supply chain network. The expenditure mainly is because of the operational cost which can be minimized by suitable deployment of cloud computing service. The cloud services are available today as metered services thereby the operational cost can be reduced by regulating the usage. Cloud computing services from Microsoft, Google, and Amazon are already available at reasonable rates and many services providers are entering the market to pose more competition which is healthy for users from reduced pricing. It can be expected that with the developments in cloud services, the service charges will decrease which will be a great advantage to the supply chain network firms and other related firms. A supply chain network enabled with cloud computing services is referred to as the Cloud Supply Chain Network (CSCN). In this paper, the benefits and opportunities of cloud supply chain network along with the challenges faced by the firms are discussed. Firms while planning to adopt cloud services to enhance their supply chain network processes look for budgeting plans which can be determined using functions as discussed in this paper. The perspectives, principles and practices in cloud supply chain network are detailed. It also describes how one can consider the parameters of the characteristics of cloud computing in supply chain network for the purpose of modeling and analyzing the information flow. A framework of the design factors of cloud supply chain is explained which will enable the decision maker to derive the necessary results by suitably incorporating the factors in the analysis of cloud supply chain network.

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Notes

  1. 1.

    Cloud Computing Bible—Barrie Sosinsky, Wiley India Pvt. Ltd., reprint 2012.

References

  1. Ahronovitz, M., Dustin Amrhein et al.: Cloud Computing Use Cases, White Paper Produced by Use Case Discussion Group, Version 4.0, pp. 1–67 (2010)

    Google Scholar 

  2. Sahoo, A.K., Das, H.: Energy efficient scheduling using DVFS technique in cloud datacenters. Int. J. Comput. Sci. Informat. Technol. Res. 4(1), 59–66 (2016)

    Google Scholar 

  3. Gowda, A.B., Subramanya, K.N.: The Influence of variables on designing a cloud supply chain network: a factor analysis approach. IUP J. Supply Chain Manag. XII(3), 35–49 (2015)

    Google Scholar 

  4. Gowda, A.B., Subramanya, K.N.: An analysis of the benefits of cloud services for supply chain using analytic hierarchy process. IUP J. Comput. Sci. 9(4), 31–45 (2015)

    Google Scholar 

  5. Mishra, B.S.P., Das, H., Dehuri, S., Jagadev, A.K.: Cloud Computing for Optimization: Foundations, Applications, and Challenges, vol. 39. Springer (2018)

    Google Scholar 

  6. Calheiros, R.N., Masoumi, E., Ranjan, R., Buyya, R.: Workload prediction using ARIMA model and its impact on cloud applications QoS. IEEE Trans. Cloud Comput. 3(4), 449–458 (2015)

    Google Scholar 

  7. Ferguson, D.F., Hadar, E.: Optimizing the IT business supply chain utilizing cloud computing. In: 8th International Conference and Expo on Emerging Technologies for a Smarter World (CEWIT). pp. 1–6. IEEE Conference Publications (2011)

    Google Scholar 

  8. Kerschbaum, F., Schroepfer, A., Zilli, A., et.al.: Secure collaborative supply chain management. IEEE Comput. Soc. 38–43 (2011)

    Google Scholar 

  9. Fischer, F., Turner, F.: Business Operations—Systems Perspectives in Global Organizations [DDBA-8110-7], pp. 1–18. Walden University (2009)

    Google Scholar 

  10. Gribben, G.: BAPCO eProcurement, Cloud Computing the Future of ICT Delivery, pp. 1–18 (2010)

    Google Scholar 

  11. Ghaffari, M., Javadian, N., Narimani, F.: An improvement approach for bullwhip effect in multi-product and multi stage supply chains. In: 6th International Conference on Information Systems Logistics and Supply Chain, 1–4 June 2016, pp. 1–8 (2016)

    Google Scholar 

  12. Erbes, J., Reza, H., Nezhad, M., Graupner, S.: HP Laboratories, From IT Providers to IT Service Brokers: The Future of Enterprise IT in the Cloud World, GS (2012)

    Google Scholar 

  13. Jamshidi, P., Ahmad, A., Pahl, C.: Cloud migration research: a systematic review. IEEE Trans. Cloud Comput. 1(2), 142–157 (2013)

    Google Scholar 

  14. Leukel, J.; Kirn, S., Schlegel, T.: Supply chain as a service: a cloud perspective on supply chain systems, abstract. IEEE Syst. J. 16–27 (2011)

    Google Scholar 

  15. Lindner, M., McDonald, F., McLarnon, B., Robinson, P.: Towards automated business-driven indication and mitigation of VM sprawl in Cloud supply chains, May 2011, abstract. In: IEEE International Symposium on Integrated Network Management, pp. 1062–1065 (2011)

    Google Scholar 

  16. YiPeng, L.: The Impact of “Cloud Computing”—based Information sharing on supply chain, management of E-commerce and E-Government (ICMeCG) abstract. In: Fifth International Conference, pp 173–175. IEEE Conference Publications

    Google Scholar 

  17. Maik Lindner, M. Lindner, F.G. Marquez, C. Chapman, S. Clayman, D. Henriksson, and E. Elmroth. (2010), The Cloud Supply Chain: A Frame work for Information, Monitoring, Accounting and Billing, 2nd International ICST Conference on Cloud Computing, in press, Springer Verlag, pp. 5

    Google Scholar 

  18. National Institute of Standards and Technology: US Department of Commerce, Special Publication 800–145, The NIST Definition of Cloud Computing, Recommendations of NIST—Peter Mell and Timothy Grance, Computer Security Division, NIST, Baithersburg, MD 20899–8930, p. 2 (2011)

    Google Scholar 

  19. Nayak, J., Naik, B., Jena, A.K., Barik, R.K., Das, H.: Nature inspired optimizations in cloud computing: applications and challenges. In: Cloud Computing for Optimization: Foundations, Applications, and Challenges, pp. 1–26. Springer, Cham (2018)

    Google Scholar 

  20. Pereira, L.A., Mamani, E.L.C., Santana, M.J., Santana, R.H.C., Northon Nobile, P., Monaco, F.J.: Non stationary simulation of computer systems and dynamic performance evaluation: a concern based approach an case study on cloud computing. In: 27th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD) on IEEE Conference, 17–21 Oct 2015, pp. 130–137 (2015)

    Google Scholar 

  21. Barik, R.K., Tripathi, A., Dubey, H., Lenka, R.K., Pratik, T., Sharma, S., Mankodiya, K., Kumar, V., Das, H.: MistGIS: Optimizing Geospatial Data Analysis Using Mist Computing, Progress in Computing, Analytics and Networking, pp. 733–742., Springer, Singapore (2018)

    Google Scholar 

  22. Barik, R.K., Dubey, H., Misra, C., Borthakur, D., Constant, N., Sasane, S.A., Lenka, R.K., Mishra, B.S.P., Das, H., Mankodiya, K.: Fog Assisted Cloud Computing in Era of Big Data and Internet -of-Things: Systems, Architectures and Applications, Cloud Computing for Optimization: Foundations, Applications and Challenges, pp. 367–394. Springer, Cham (2018)

    Google Scholar 

  23. Hashmi, S.I., Clerc, V., et al.: Using the Cloud to Facilitate Global Software Development Challenges, GS (2011)

    Google Scholar 

  24. Santra, S., Dey, H., Majumdar, S., Jha, G.S.: New simulation toolkit for comparison of scheduling algorithm on cloud computing. In: International Conference on Control, Instrumentation, Communication (2014)

    Google Scholar 

  25. Tsao, H.J., Parikh, S., Ghosh, A.S., Pal, R., Ranalkar, M., Tarapore, H., Venkatsubramanyan, S.: Streamlining grain supply chains of India: Cloud computing and distributed hubbing for wholesale-retail logistics. In: IEEE International Conference on Service Operations and Logistics and Informatics (SOLI), pp. 252–257 (2010)

    Google Scholar 

  26. Ying, X., Zhou, L.: Measuring Bull whip effect in a single echelon supply chain using fuzzy approach. Int. J. Innovat. Manag. Technol. 3(5), 494–498 (2012)

    Google Scholar 

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Acknowledgements

The authors extend their heartfelt gratitude to the Editor, Prof Himansu Das for providing an opportunity to write this paper. The authors thank him for giving valuable suggestions and comments to improve the content of this paper.

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Authors and Affiliations

  1. Jain University, Bangalore, India

    Anil B. Gowda

  2. RV College of Engineering, Mysore Road, RV Vidyaniketan Post, Bangalore, India

    K. N. Subramanya

Authors
  1. Anil B. Gowda
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  2. K. N. Subramanya
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Corresponding author

Correspondence to Anil B. Gowda .

Editor information

Editors and Affiliations

  1. School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha, India

    Himansu Das

  2. School of Computer Application, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha, India

    Rabindra K. Barik

  3. Center for Robust Speech Systems, University of Texas at Dallas, Richardson, TX, USA

    Harishchandra Dubey

  4. Department of Computer Science and Engineering, National Institute of Technology, Meghalaya, Shillong, Megalaya, India

    Diptendu Sinha Roy

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Gowda, A.B., Subramanya, K.N. (2019). Cloud Based Supply Chain Networks—Principles and Practices. In: Das, H., Barik, R., Dubey, H., Roy, D. (eds) Cloud Computing for Geospatial Big Data Analytics. Studies in Big Data, vol 49. Springer, Cham. https://doi.org/10.1007/978-3-030-03359-0_5

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