Special Section Articles

Design Considerations for Building Distributed Supply Chain Management Systems Based on Cloud Computing

[+] Author and Article Information
Andreas M. Radke

mSE Solutions,
97B Amoy Street,
069971, Singapore
International School of Technology
and Management,
Feng Chia University,
100 Wenhua Road,
Taichung City 704, Taiwan
e-mail: aradke@mse-solutions.com

Mitchell M. Tseng

International School of Technology
and Management,
Feng Chia University,
100 Wenhua Road,
Taichung City 704, Taiwan
Department of Industrial Engineering
and Logistics Management,
Hong Kong University of Science
and Technology,
Clear Water Bay, Kowloon, Hong Kong
e-mail: mmtseng@fcuoa.fcu.edu.tw

Heteroskedasticity refers to the observation that the variability of a variable differs over the range of its predictor variable; this is often measured by the variance of the predicted variable.

1Corresponding author.

Contributed by the Manufacturing Engineering Division of ASME for publication in the JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING. Manuscript received October 15, 2014; final manuscript received May 25, 2015; published online July 8, 2015. Assoc. Editor: Lihui Wang.

J. Manuf. Sci. Eng 137(4), 040906 (Aug 01, 2015) (11 pages) Paper No: MANU-14-1540; doi: 10.1115/1.4030736 History: Received October 15, 2014; Revised May 25, 2015; Online July 08, 2015

Global manufacturing has extended the supply chain not only in span of networks and dispersion of geographical locations but also more importantly, it also transcends vast organizational boundaries among webs of long supply chains. Naturally, the information and computation technology (ICT) systems supporting these entities serve well on their own merits independently; however, the sharing of information among them in a responsive and agile and secure fashion is limited. The advent of cloud computing provides a distinct possibility to enhance sharing of information, to better apply modern analytic tools and to improve managing the controlled access as well as security. This paper is prepared to address the architectural issues of the data, analytics, and organizational layers.

Copyright © 2015 by ASME
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Assunção, M. D., Calheiros, R. N., Bianchi, S., Netto, M. A. S., and Buyya, R., 2015, “Big Data Computing and Clouds: Trends and Future Directions,” J. Parallel Distrib. Comput., 79–80, pp. 3–15. [CrossRef]
Hardy, Q., 2014, “What Cars Did for Today’s World, Data May Do for Tomorrow’s,” Bits, Blog, Accessed Sept. 24, 2014, http://mobile.nytimes.com/blogs/bits/2014/08/10/g-e-creates-a-data-lake-for-new-industrial-ecosystem/
Manyika, J., Chui, M., Bughin, J., Dobbs, R., Bisson, P., and Marrs, A., 2013, Disruptive Technologies: Advances That Will Transform Life, Business, and the Global Economy, McKinsey Global Institute, pp. 1–176.
Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., and Byers, A. H., 2011, Big Data: The Next Frontier for Innovation, Competition, and Productivity, McKinsey Global Institute, pp. 1–156.
Paul, A., 2014, The Information Paradigm Shift: Redefine Your Competitive Advantage, Hewlett-Packard Company, Dover, DE, p. 16.
Shaw, J., 2014, “Why 'Big Data' Is a Big Deal,” Harvard Magazine, Mar.–Apr., pp. 30–75.
Böhm, M., Koleva, G., Leimeister, S., Riedl, C., and Krcmar, H., 2010, “Towards a Generic Value Network for Cloud Computing,” Economics of Grids, Clouds, Systems, and Services, J.Altmann, and O. F.Rana, eds., Springer, Berlin, Germany. [CrossRef]
Fung, V. K., Fung, W. K., and Wind, Y. J. R., 2007, Competing in a Flat World: Building Enterprises for a Borderless World, Pearson Prentice Hall, Upper Saddle River, NJ.
Magretta, J., 1998, “Fast, Global, and Entrepreneurial: Supply Chain Management, Hong Kong Style: An Interview With Victor Fung,” Harv. Bus. Rev., 76(5), pp. 102–114. [CrossRef] [PubMed]
Sirkin, H. L., Zinser, M., and Rose, J., 2013, The U.S. as One of the Developed World's Lowest-Cost Manufacturers, Chicago, IL, pp. 1–18.
Porter, E., 2014, Globalization Is in Retreat? Not So Fast, The New York Times, New York.
Lee, H. L., 2004, “The Triple-A Supply Chain,” Harv. Bus. Rev., 82(10), pp. 102–112. [CrossRef] [PubMed]
Gattorna, J., 2010, Dynamic Supply Chains: Delivering Value Through People, 2 ed., FT Press, New York.
Radke, A. M., 2012, “An Inventory Planning Methodology Based on the Value of Inventory in High-Mix Low-Volume Production,” Ph.D. thesis, Industrial Engineering and Logistics Management Department, Hong Kong University of Science & Technology.
Cavinato, J. L., Flynn, A. E., and Kauffman, R. G., 2006, The Supply Management Handbook, 7 ed., McGraw-Hill, New York.
Monczka, R. M., Handfield, R. B., Giunipero, L. C., and Patterson, J. L., 2011, Purchasing and Supply Chain Management, 5 ed., Cengage Learning, Cincinnati, OH.
Burt, D., Dobler, D., and Starling, S., 2002, World Class Supply Management: The Key to Supply Chain Management, 7 ed., McGraw-Hill/Irwin, Boston, MA.
Johnson, P. F., Leenders, M., and Flynn, A., 2010, Purchasing and Supply Management, 14 ed., The Mcgraw-Hill/Irwin Series Operations and Decisions Sciences, McGraw-Hill/Irwin, Boston, MA.
Payne, J., and Dorn, W. R., 2011, Managing Indirect Spend: Enhancing Profitability Through Strategic Sourcing, Wiley, Hoboken, NJ. [CrossRef]
Kaufmann, L., and Hedderich, F., 2005, “A Novel Framework for International Sourcing Applied to the Emerging Chinese Supply Market,” Perspektiven des Supply Management: Konzepte und Anwendungen, M.Eßig, ed., Springer, Berlin, Germany, Chap. 6.
Bahrami, B., and Jordan, E., 2013, “Utilizing Enterprise Resource Planning in Decision-Making Processes,” Innovation and Future of Enterprise Information Systems, F.Piazolo, and M.Felderer, eds., Springer, Berlin, Germany, Chap. 13. [CrossRef]
Ajayi, N., 2013, “The Role of Information System in Supply Chain Information Management,” International Conference on Information Society (i-Society 2013), Toronto, ON, June 24–26, pp. 138–146.
Jula, A., Sundararajan, E., and Sundararajan, Z., 2014, “Cloud Computing Service Composition: A Systematic Literature Review,” Expert Syst. Appl., 41(8), pp. 3809–3824. [CrossRef]
Hsu, P.-F., Ray, S., and Li-Hsieh, Y.-Y., 2014, “Examining Cloud Computing Adoption Intention, Pricing Mechanism, and Deployment Model,” Int. J. Inf. Manage., 34(4), pp. 474–488. [CrossRef]
Ooi, K.-B., Chong, A. Y.-L., and Tan, B.-I., 2011, “Application of Web 2.0 in Supply Chain Management: A Brief Overview,” Trends Appl. Sci. Res., 6(4), pp. 394–399. [CrossRef]
Matzer, M., 2014, “Der deutsche Cloudmarkt wächst, doch die Fertigungsindustrie hinkt hinterher,” VDI Nachrichten, VDI Verlag, Düsseldorf, Germany, p. 10.
Cegielski, C. G., Jones-Farmer, L. A., Wu, Y., and Hazen, B. T., 2012, “Adoption of Cloud Computing Technologies in Supply Chains: An Organizational Information Processing Theory Approach,” Int. J. Logist. Manage., 23(2), pp. 184–211. [CrossRef]
Wu, Y., Cegielski, C. G., Hazen, B. T., and Hall, D. J., 2013, “Cloud Computing in Support of Supply Chain Information System Infrastructure: Understanding When to Go to the Cloud,” J. Supply Chain Manage., 49(3), pp. 25–41. [CrossRef]
Oliveira, T., Thomas, M., and Espadanal, M., 2014, “Assessing the Determinants of Cloud Computing Adoption: An Analysis of the Manufacturing and Services Sectors,” Inf. Manage., 51(5), pp. 497–510. [CrossRef]
Subramanian, N., Abdulrahman, M. D., and Zhou, X., 2014, “Integration of Logistics and Cloud Computing Service Providers: Cost and Green Benefits in the Chinese Context,” Transp. Res., Part E, 70, pp. 86–98. [CrossRef]
Gerhardter, A., and Ortner, W., 2013, “Flexibility and Improved Resource Utilization Through Cloud Based ERP Systems: Critical Success Factors of SaaS Solutions in SME,” Innovation and Future of Enterprise Information Systems, F.Piazolo, and M.Felderer, eds., Springer, Berlin, Germany, Chap. 14. [CrossRef]
Hansel, S., 2014, “Broker für die Cloud,” VDI Nachrichten, VDI Verlag, Düsseldorf, Germany, p. 10.
Buyya, R., Vecchiola, C., and Selvi, S. T., 2013, “Cloud Computing Architecture,” Mastering Cloud Computing, R.Buyya, C.Vecchiola, and S. T.Selvi, eds., Morgan Kaufmann, Boston, MA, Chap. 4. [CrossRef]
Chang, V., Walters, R. J., and Wills, G., 2013, “The Development That Leads to the Cloud Computing Business Framework,” Int. J. Inf. Manage., 33(3), pp. 524–538. [CrossRef]
Hill, R., Hirsch, L., Lake, P., and Moshiri, S.2012, “Developing a Cloud Roadmap,” Guide to Cloud Computing, Springer, London, UK, Chap. 11. [CrossRef]
Yang, N., Li, D., and Tong, Y., 2012, “A Cloud Computing-Based ERP System Under the Cloud Manufacturing Environment,” Int. J. Digital Content Technol. Appl., 6(23), pp. 126–134. [CrossRef]
Mezgár, I., and Rauschecker, U., 2014, “The Challenge of Networked Enterprises for Cloud Computing Interoperability,” Comput. Ind., 65(4), pp. 657–674. [CrossRef]
Lu, Y., Xu, X., and Xu, J., 2014, “Development of a Hybrid Manufacturing Cloud,” J. Manuf. Syst., 33(4), pp. 551–566. [CrossRef]
Schrödl, H., 2012, “Adoption of Cloud Computing in Supply Chain Management Solutions: A SCOR-Aligned Assessment,” Web Technologies and Applications, H.Wang, et al., eds., Springer, Berlin, Germany. [CrossRef]
Xu, X., 2012, “From Cloud Computing to Cloud Manufacturing,” Rob. Comput. Integr. Manuf., 28(1), pp. 75–86. [CrossRef]
Nair, P. R., 2014, “Tackling Supply Chain Through Cloud Computing: Management Opportunities, Challenges and Successful Deployments,” ICT and Critical Infrastructure: Proceedings of the 48th Annual Convention ofCSI 2013, Varun Beach, Visakhapatnam, Springer International Publishing. [CrossRef]
Rossetti, M. D., and Yaohua, C., 2012, “A Cloud Computing Architecture for Supply Chain Network Simulation,” 2012 Winter Simulation Conference (WSC), Berlin, Germany, Dec. 9–12, pp. 1–12. [CrossRef]
Li, Q., and Xia, N., 2011, “The Utilization of Cloud Computing in Network Collaborative Commerce Chain,” 4th International Conference on Business Intelligence and Financial Engineering, Wuhan, China, Oct. 17–18, pp. 279–284. [CrossRef]
Lackermair, G., 2011, “Hybrid Cloud Architectures for the Online Commerce,” Procedia Comput. Sci., 3, pp. 550–555. [CrossRef]
Moynihan, P., and Wei, D., 2013, “Concurrent Intelligent Integration and Optimisation Engine for Supply Chains Management,” 16th International Conference on Network-Based Information Systems 2013, Gwangju, Korea, Sep. 4–6, pp. 577–582. [CrossRef]
Leukel, J., Kirn, S., and Schlegel, T., 2011, “Supply Chain as a Service: A Cloud Perspective on Supply Chain Systems,” IEEE Syst. J., 5(1), pp. 16–27. [CrossRef]
Wu, D., Greer, M. J., Rosen, D. W., and Schaefer, D., 2013, “Cloud Manufacturing: Drivers, Current Status, and Future Trends,” ASME Paper No. MSEC2013-1106. [CrossRef]
Adamson, G., Wang, L., and Holm, M., 2013, “The State of the Art of Cloud Manufacturing and Future Trends,” ASME Paper No. MSEC2013-1123. [CrossRef]
Helgoson, M., Wang, L., Karlsson, R., Givehchi, M., and Tedeborg, M., 2014, “Concept for Function Block Enabled Process Planning Towards Multi-Site Cloud Collaboration,” ASME Paper No. MSEC2014-4027. [CrossRef]
Hu, C., Xu, C., Cao, X., and Zhang, P., 2013, “Study on the Multi-Granularity Virtualization of Manufacturing Resources,” ASME Paper No. MSC2013-1174. [CrossRef]
Wang, X. V., and Xu, X. W., 2013, “Virtualize Manufacturing Capabilities in the Cloud: Requirements and Architecture,” ASME Paper No. MSEC2013-1046. [CrossRef]
Liu, X., Li, Y., Wang, W., and Wang, L., 2014, “A Feature Based Method for Product-Oriented Representation to Manufacturing Resources in Cloud Manufacturing,” ASME Paper No. MSEC2014-4031. [CrossRef]
Helo, P., Suorsaa, M., Haoa, Y., and Anussornnitisarn, P., 2014, “Toward a Cloud-Based Manufacturing Execution System for Distributed Manufacturing,” Comput. Ind., 65(4), pp. 646–656. [CrossRef]
Rauschecker, U., Stöhr, M., and Schel, D., 2013, “Requirements and Concept for a Manufacturing Service Management and Execution Platform for Customizable Products,” ASME Paper No. MSEC2013-1021. [CrossRef]
Wang, L., Gao, R., and Ragai, I., 2014, “An Integrated Cyber-Physical System for Cloud Manufacturing,” ASME Paper No. MSEC2014-4171. [CrossRef]
Yang, Y., Gao, R. X., Fan, Z., Wang, J., and Wang, L., 2014, “Cloud-Based Prognosis: Perspective and Challenge,” ASME Paper No. MSEC2014-4155. [CrossRef]
Wang, L., 2013, “Machine Availability Monitoring and Machining Process Planning Towards Cloud Manufacturing,” CIRP J. Manuf. Sci. Technol., 6(4), pp. 263–273. [CrossRef]
Wang, L., Wanga, X. V., Gaob, L., and Vánczac, J., 2014, “A Cloud-Based Approach for WEEE Remanufacturing,” CIRP Ann.: Manuf. Technol., 63(1), pp. 409–412. [CrossRef]
Yip, A. L. K., Corney, J. R., Jagadeesan, A. P., and Qin, Y., 2013, “A Product Configurator for Cloud Manufacturing,” ASME Paper No. MSEC2013-1250. [CrossRef]
Wu, D., Rosen, D. W., Wang, L., and Schaefer, D., 2015, “Cloud-Based Design and Manufacturing: A New Paradigm in Digital Manufacturing and Design Innovation,” Comput.-Aided Design, 59, pp. 1–14. [CrossRef]
Ren, L., Zhang, L., Zhao, C., and Chai, X., 2013, “Cloud Manufacturing Platform: Operating Paradigm, Functional Requirements, and Architecture Design,” ASME Paper No. MSEC2013-1185. [CrossRef]
Lückmann, R., 2014, “Die Buchhaltung im Handgepäck,” VDI Nachrichten, VDI Verlag, Düsseldorf, Germany, p. 12.
Hammerschmidt, C., 2014, “Kapitäne der Fernstraße im Netz von Big Data,” VDI Nachrichten, VDI Verlag, Düsseldorf, Germany, p. 14.
Ren, L., Zhang, L., Hou, B., Wu, Q., and Teng, D., 2014, “Intelligent User Interface in Cloud Manufacturing,” ASME Paper No. MSEC2014-4099. [CrossRef]
Chen, C. L. P., and Zhang, C.-Y., 2014, “Data-Intensive Applications, Challenges, Techniques and Technologies: A Survey on Big Data,” Inf. Sci., 275(10), pp. 314–347. [CrossRef]
Chen, M., Mao, S., Zhang, Y., and Leung, V. C., 2014, Big Data: Related Technologies, Challenges and Future Prospects (Springer Briefs in Computer Science), S.Zdonik, et al., eds., Springer, Heidelberg, Germany. [CrossRef]
Committee on the Analysis of Massive Data, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and Their Applications, Division on Engineering and Physical Sciences, and National Research Council, 2013, Frontiers in Massive Data Analysis, The National Academic Press, Washington, DC.
Loshin, D., 2013, “Big Data Tools and Techniques,” Big Data Analytics, D.Loshin, ed., Morgan Kaufmann, Boston, MA, Chap. 7. [CrossRef]
Smith, G. S., 2013, Straight to the Top: CIO Leadership in a Mobile, Social, and Cloud-Based World, 2 ed., Wiley, Hoboken, NJ. [CrossRef]
Sanders, N. R., 2014, Big Data Driven Supply Chain Management: A Framework for Implementing Analytics and Turning Information Into Intelligence, Pearson Education, Upper Saddle River, NJ.
Supply Chain Council, 2014, “Supply Chain Operations Reference (SCOR) Model: Overview,” Supply Chain Council, Cypress, TX, p. 24.
Chao, C.-H., 2013, “The Framework of Information Processing Network for Supply Chain Innovation in Big Data Era,” The 3rd International Workshop on Intelligent Data Analysis and Management, L.Uden, L. S. L.Wang, T.-P.Hong, H.-C.Yang, and I.-H.Ting, eds., Springer, Dordrecht, The Netherlands, Chap. 9. [CrossRef]
van Rijmenam, M., 2014, Think Bigger: Developing a Successful Big Data Strategy for Your Company, AMACOM, New York.
Howard, J., Zwemer, M., and Loukides, M., 2012, Designing Great Data Products, O'Reilly Media, Sebastopol, CA.
Demirkan, H., and Delen, D., 2013, “Leveraging the Capabilities of Service-Oriented Decision Support Systems: Putting Analytics and Big Data in Cloud,” Decis. Support Syst., 55(1), pp. 412–421. [CrossRef]
Krishnan, K., 2013, “Data-Driven Architecture for Big Data,” Data Warehousing in the Age of Big Data, K.Krishnan, ed., Morgan Kaufmann, Boston, MA, Chap. 11. [CrossRef]
Chan, C. P., 2014, “Hitachi Leads by Example in Big-Data Analytics,” The Edge Singapore, Edge Business Publishing, Singapore, Singapore.
IBM, 2014, Five Best Practices for Maximizing Big Data ROI, IBM, p. 5.
Strickland, J., 2014, “How Server Virtualization Works,” Accessed Sept. 21, 2014, http://computer.howstuffworks.com/server-virtualization.htm
Fitzgerald, M., 2014, “The Four Traps of Predictive Analytics,” Big Idea: Data and Analytics, Accessed Aug. 25, 2014, http://sloanreview.mit.edu/article/the-four-traps-of-predictive-analytics/
Kwon, O., Lee, N., and Shin, B., 2014, “Data Quality Management, Data Usage Experience and Acquisition Intention of Big Data Analytics,” Int. J. Inf. Manage., 34(3), pp. 387–394. [CrossRef]
Kambatla, K., Kolliasb, G., Kumarc, V., and Gramaa, A., 2014, “Trends in Big Data Analytics,” J. Parallel Distrib. Comput., 74(7), pp. 2561–2573. [CrossRef]
Rajpurohit, A., 2014, “Exclusive Interview: Ajay Bhargava, TCS Shares the Big Data Mantra: Harness Data and Harvest Value,” Accessed Sept. 23, 2014, http://www.kdnuggets.com/2014/09/interview-ajay-bhargava-tcs-big-data-mantra.html
Lohr, S., 2014, “Future of Data Science,” Bits, Blog, Accessed Sept. 23, 2014, http://mobile.nytimes.com/blogs/bits/2014/08/27/looking-to-the-future-of-data-science/
Watts, D. J., 2014, “Scientific Thinking in Business,” MIT Technology Review, Jason Pontin, Cambridge, MA.
Bourguignat, C., 2014, “Interpretable Versus Powerful Predictive Models: Why We Need Them Both,” Medium Blog, Accessed Sept. 23, 2014, https://medium.com/@chris_bour/interpretable-vs-powerful-predictive-models-why-we-need-them-both-990340074979
Howard, J., 2012, “From Predictive Modelling to Optimization: The Next Frontier [Video, 35:12],” http://www.youtube.com/watch?v=vYrWTDxoeGg&feature=youtu.be
Ransbotham, S., 2014, “Does Your Company Collect Data or Hoard It?,” Big Idea: Data & Analytics, Blog, Accessed July 28, 2014, http://sloanreview.mit.edu/article/does-your-company-collect-data-or-hoard-it/
Bollier, D., 2010, “The Promise and Peril of Big Data,” Communications and Society Program, C. M.Firestone, ed., The Aspen Institute, Washington, DC, p. 56.
Coe, R., 2002, “It’s the Effect Size, Stupid—What Effect Size Is and Why It Is Important,” Annual Conference of the British Educational Research Association, University of Exeter, Exeter, UK, pp. 1–18.
van Rijsbergen, C. J., 1979, “Evaluation,” Information Retrieval, 2nd ed., Butterworth-Heinemann, Cambridge, UK, Chap. 7.
Asteriou, D., and Hall, S. G., 2011, “Heteroskedasticity,” Applied Econometrics, Palgrave MacMillan, Basingstoke, UK, Chap. 6.
Rose, J., Barton, C., Souza, R., and Platt, J., 2013, “The Trust Advantage: How to Win With Big Data,” Accessed Sept. 21, 2014, https://www.bcgperspectives.com/content/articles/information_technology_strategy_consumer_products_trust_advantage_win_big_data/
Stedman, C., and Vaughan, J., 2013, “Orchestrating a Big Data Integration Strategy,” TechTarget, Newton, MA, p. 9.
Barlow, M., 2013, Real-Time Big Data Analytics: Emerging Architecture, O'Reilly Media, Sebastopol, CA.
Katsov, I., 2013, “In-Stream Big Data Processing,” Highly-Scalable, Blog, Accessed Oct. 1, 2014, http://highlyscalable.wordpress.com/2013/08/20/in-stream-big-data-processing/
Cukier, K., and Mayer-Schoenberger, V., 2013, “The Rise of Big Data: How It's Changing the Way We Think About the World,” Foreign Aff., 92(3), pp. 28–40. [CrossRef]
Harris, D., 2014, “Google Has Open-Sourced a Tool for Inferring Cause From Correlations,” GigaOM, Accessed Sept. 23, 2014, https://gigaom.com/2014/09/11/google-has-open-sourced-a-tool-for-inferring-cause-from-correlations/
Ritter, D., 2014, “When to Act on a Correlation, and When Not To,” Accessed Sept. 2014, http://blogs.hbr.org/2014/03/when-to-act-on-a-correlation-and-when-not-to/
Santillana, M., Zhang, D. W., Althouse, B. M., and Ayers, J. W., 2014, “What Can Digital Disease Detection Learn From (an External Revision to) Google Flu Trends?,” Am. J. Prev. Med., 47(3), pp. 341–347. [CrossRef] [PubMed]
Koendjbiharie, S., Koppius, O., Vervest, P., and van Heck, E., 2010, “Network Transparency and the Performance of Dynamic Business Networks,” 4th IEEE International Conference on Digital Ecosystems and Technologies (DEST), IEEE, Dubai, UAE, Apr. 13–16, pp. 197–202. [CrossRef]
Wagner, S. M., and Bukó, C., 2005, “An Empirical Investigation of Knowledge-Sharing in Networks,” J. Supply Chain Manage., 41(4), pp. 17–31. [CrossRef]
Hoffer, E., 2015, “The Context of Global Supply Chain Security,” Global Supply Chain Security, A. R.Thomas and S.Vaduva, eds., Springer, New York, Chap. 1. [CrossRef]
Hintsa, J., 2010, “A Comprehensive Framework for Analysis and Design of Supply Chain Security Standards,” J. Transp. Secur., 3(2), pp. 105–125. [CrossRef]
Urciuoli, L., 2010, “Supply Chain Security—Mitigation Measures and a Logistics Multi-Layered Framework,” J. Transp. Secur., 3(1), pp. 1–28. [CrossRef]
Meixell, M. J., and Norbis, M., 2011, “Assessing Security Risk in Global Supply Chains,” IEEE International Technology Management Conference 2011, San Jose, CA, June 27–30, pp. 510–515. [CrossRef]
Roy, A., Gupta, A. D., and Deshmukh, S. G., 2012, “Information Security in Supply Chains: A Process Framework,” IEEE International Conference on Industrial Engineering and Engineering Management, Hong Kong, Dec. 10–13, pp. 1448–1452. [CrossRef]
Salmela, H., Toivonen, S., and Scholliers, J., 2010, “Enhancing Supply Chain Security With Vulnerability Management and New Technology,” IET Intell. Transp. Syst., 4(4), pp. 307–317. [CrossRef]
Zage, D., Glass, K., and Colbaugh, R., 2013, “Improving Supply Chain Security Using Big Data,” IEEE International Conference on Intelligence and Security Informatics 2013, Seattle, WA, June 4–7, pp. 254–259. [CrossRef]
Pearson, S., 2013, “Privacy, Security and Trust in Cloud Computing,” Privacy and Security for Cloud Computing, S.Pearson and G.Yee, eds., Springer, London, UK, Chap. 1. [CrossRef]
Compagna, L., El Khoury, P., Krausová, A., Massacci, F., and Zannone, N., 2009, “How to Integrate Legal Requirements Into a Requirements Engineering Methodology for the Development of Security and Privacy Patterns,” Artif. Intell. Law, 17(1), pp. 1–30. [CrossRef]
Eken, H., 2013, “Security Threats and Solutions in Cloud Computing,” World Congress on Internet Security (WorldCIS) 2013, London, Dec. 9–12, pp. 139–143. [CrossRef]
Sabahi, F., 2011, “Cloud Computing Security Threats and Responses,” IEEE 3rd International Conference on Communication Software and Networks 2011, Xi'an, China, May 27–29, pp. 245–249. [CrossRef]
Brodkin, J., 2008, “Gartner: Seven Cloud-Computing Security Risks,” Accessed Mar. 21, 2015, http://www.infoworld.com/article/2652198/security/gartner--seven-cloud-computing-security-risks.html
Schulzki-Haiddouti, C., 2015, “Europarat Will Big Data mit Datenschutz versöhnen,” VDI Nachrichten, VDI Verlag, Düsseldorf, Germany, p. 10.
Behl, A., and Behl, K., 2012, “An Analysis of Cloud Computing Security Issues,” World Congress on Information and Communication Technologies (WICT) 2012, Trivandrum, India, Nov. 1–2, pp. 109–114. [CrossRef]
Durowoju, O., 2014, “Rationalising the Security Concern of Cloud Enabled E-Commerce in the Supply Chain Context,” E-Commerce Platform Acceptance, E.Lacka, H. K.Chan, and N.Yip, eds., Springer, Heidelberg, Chap. 3. [CrossRef]
Almorsy, M., Grundy, J., and Ibrahim, A. S., 2011, “Collaboration-Based Cloud Computing Security Management Framework,” IEEE International Conference on Cloud Computing (CLOUD), 2011, Washington, DC, June 4–9, pp. 364–371. [CrossRef]
Villegas, D., Bobroff, N., Rodero, I., Delgado, J., Liu, Y., Devarakonda, A., Fong, L., Sadjadi, S. M., and Parashar, M., 2012, “Cloud Federation in a Layered Service Model,” J. Comput. Syst. Sci., 78(5), pp. 1330–1344. [CrossRef]
Rajpurohit, A., 2014, “Exclusive Interview: Imran Siddiqi, SAP on Why the Business Needs Ambitious Big Data Use Cases,” Accessed Sept. 23, 2014, http://www.kdnuggets.com/2014/09/interview-imran-siddiqi-sap-big-data-use-cases.html
Hazen, B. T., Booneb, C. A., Ezellc, J. D., and Jones-Farmer, L. A., 2014, “Data Quality for Data Science, Predictive Analytics, and Big Data in Supply Chain Management: An Introduction to the Problem and Suggestions for Research and Applications,” Int. J. Prod. Econ., 154, pp. 72–80. [CrossRef]
Brock, J., Souza, R., Dreischmeier, R., and Platt, J., 2013, “Big Data’s Five Routes to Value: Opportunity Unlocked,” BCG Perspectives, Accessed Sept. 21, 2014, https://www.bcgperspectives.com/content/articles/information_technology_strategy_digital_economy_opportunity_unlocked_big_data_five_routes_value/
Bradsher, K., and Mozur, P., 2014, Sealed Tight, The New York Times, New York.
Rajpurohit, A., 2014, “INFORMS The Business of Big Data 2014: Day 1 Highlights,” Accessed Sept. 25, 2014, http://www.kdnuggets.com/2014/08/informs-business-big-data-2014-day1.html
Ransbotham, S., 2014, “Data Analytics Makes the Transition From Novelty to Commodity,” Big Idea: Data & Analytics, Blog, Accessed Aug. 25, 2014, http://sloanreview.mit.edu/article/data-analytics-makes-the-transition-from-novelty-to-commodity/
Lipton, R. J., 2014, “Shifts in Algorithm Design,” Gödel’s Lost Letter and P=NP, Blog, Accessed Oct. 3, 2014, http://rjlipton.wordpress.com/2014/07/21/shifts-in-algorithm-design/
Borgs, C., Brautbar, M., Chayes, J., and Teng, S.-H., 2014, “Multiscale Matrix Sampling and Sublinear-Time PageRank Computation,” Internet Math., 10(1–2), pp. 20–48. [CrossRef]
Svensson, M., 2009, “Contextual Metadata in Practice,” First International Conference on Advances in Multimedia 2009, Colmar, July 20–25, pp. 12–17. [CrossRef]
Dumbill, E., 2013, “Big Data Variety Means That Metadata Matters,” Data Driven, Blog, Accessed Mar. 21, 2015, http://www.forbes.com/sites/edddumbill/2013/12/31/big-data-variety-means-that-metadata-matters/
Patil, D. J., 2011, Building Data Science Teams: The Skills, Tools, and Perspectives Behind Great Data Science Groups, O’Reilly Media, Sebastopol, CA.
Harris, H. D., Murphy, S. P., and Vaisman, M., 2013, Analyzing the Analyzers: An Introspective Survey of Data Scientists and Their Work, O'Reilly Media, Sebastopol, CA.
Patil, D. J., and Mason, H., 2015, Data Driven—Creating a Data Culture, O'Reilly Media, Sebastopol, CA.
Schönsleben, P., Radke, A. M., Plehn, J., Finke, G., and Hertz, P., 2014, “Towards the Integrated Determination of a Strategic Production Concept, Distribution Concept, Service Concept, and Transport Concept for Manufacturers of Physical Products—A Generic Approach,” E-Collection ETH Zurich, Accessed Mar. 21, 2015, http://e-collection.library.ethz.ch/eserv/eth:47687/eth-47687-01.pdf


Grahic Jump Location
Fig. 1

Overview of SCM in the cloud




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