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2019 | OriginalPaper | Chapter

9. Application of Cloud Computing and Internet of Things to Improve Supply Chain Processes

Authors : S. Kanimozhi Suguna, Suresh Nanda Kumar

Published in: Edge Computing

Publisher: Springer International Publishing

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Abstract

Cloud computing eliminates the advantage, which large organizations have conventionally enjoyed in terms of the availability of technology specialists and technical superiority. Small and medium enterprises that take advantage of infrastructure providers to support their technology requirements and provide specialized platforms for development and testing can build an infrastructure that is innovative and is capable of enabling entry into a global marketplace with as much capability as the market demands. Smaller enterprises have the ability to leverage software services that provide software such as supply chain management, enterprise resource planning, customer relationship management, and business analytics which are traditionally available only to large enterprises and organizations. Being able to access infrastructures, platforms, and software services based on what is needed and paying for only what is used enable and empower start-up enterprises and small and medium enterprises, giving them an advantage in the market and also an equal position with much larger enterprises.
IoT can be viewed as networks of networks. There can be a wide range of applications in IoT that supports logistics and supply chain management. IoT technology can be leveraged to achieve cost reductions. IoT technology can be combined with real-time location systems to get live updates from the factory floor, enabling manufacturers to continuously monitor machine activity, maintenance needs, and also product movement during production. Cost reduction can be achieved across the digital supply chain by making use of these smart machines by providing data that allow manufacturers to adjust production on the fly. Manufacturing and assembly lines will receive updated schedules and quality-related information in real time and instantly. IoT data can be leveraged to schedule proactive, preventive, predictive repairs, maintenance, customize production to meet the customer’s orders, and the focus that is needed to be successful in the digital world. The concept of Industry 4.0 aims at achieving smart factory will soon be a reality. Smart products which consist of the embedded knowledge of their customers’ needs will provide data insights and analytics about the best way to achieve customer fulfillment. All this information will lead to more cost-efficient production and product development.
Digitally enabled real-time collaboration partners will need to collaborate across all nodes of the supply chain to profitably meet the customers’ demands. Select technology solutions so that the supply chain partners can work within and across various networks and at touch points. Supply chain management (SCM) manages to optimize processes and collaboration with other companies in the supply chain (suppliers and customers) to create more value. While SCM is already heavily supported by various IT solutions, the Internet of Things (IoT) can be of great value by providing additional information. One of the major challenges in SCM is reducing the bullwhip effect. A major cause of the bullwhip effect is information distortion. For a better information flow, the IoT is able to trigger all relevant actors in the supply chain upon the sale of a product. In traditional processes, information on demand was only passed to one’s direct downstream partner instead of sharing this information with the whole chain. IoT can enable sharing of information across the entire supply chain from the upstream suppliers to the downstream customers.

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Literature
1.
go back to reference E. Ahmed, I. Yaqoob, A. Gani, M. Imran, M. Guizani, Internet-of-things-based smart environments: state of the art, taxonomy, and open research challenges. IEEE Wirel. Commun. 23(5), 10–16 (2016)CrossRef E. Ahmed, I. Yaqoob, A. Gani, M. Imran, M. Guizani, Internet-of-things-based smart environments: state of the art, taxonomy, and open research challenges. IEEE Wirel. Commun. 23(5), 10–16 (2016)CrossRef
2.
go back to reference J.S. Arlbjørn, H. de Haas, K.B. Munksgaard, Exploring supply chain innovation. Logist. Res. 3(1), 3–18 (2011)CrossRef J.S. Arlbjørn, H. de Haas, K.B. Munksgaard, Exploring supply chain innovation. Logist. Res. 3(1), 3–18 (2011)CrossRef
3.
go back to reference V. Arora, V. Ravi, Data mining using advanced ant colony optimization algorithm and application to bankruptcy prediction. Int. J. Inf. Syst. Soc. Chang. 4(3), 33–56 (2013)CrossRef V. Arora, V. Ravi, Data mining using advanced ant colony optimization algorithm and application to bankruptcy prediction. Int. J. Inf. Syst. Soc. Chang. 4(3), 33–56 (2013)CrossRef
4.
go back to reference L. Atzori, A. Iera, G. Morabito, The internet of things: a survey. Comput. Netw. 54(15), 2787–2805 (2010)CrossRef L. Atzori, A. Iera, G. Morabito, The internet of things: a survey. Comput. Netw. 54(15), 2787–2805 (2010)CrossRef
5.
go back to reference D. Bandyopadhyay, J. Sen, Internet of things: applications and challenges in technology and standardization. Wirel. Pers. Commun. 58(1), 49–69 (2011)CrossRef D. Bandyopadhyay, J. Sen, Internet of things: applications and challenges in technology and standardization. Wirel. Pers. Commun. 58(1), 49–69 (2011)CrossRef
6.
go back to reference M. Bensaou, Inter-organizational cooperation and the use of IT: an empirical comparison of U.S. and Japanese supplier relations. Inf. Syst. Res. 8(2), 107–124 (1997)CrossRef M. Bensaou, Inter-organizational cooperation and the use of IT: an empirical comparison of U.S. and Japanese supplier relations. Inf. Syst. Res. 8(2), 107–124 (1997)CrossRef
7.
go back to reference Z. Bi, L.D. Xu, C. Wang, Internet of things for enterprise systems of modern manufacturing. IEEE Trans. Ind. Inf. 10(2), 1537–1546 (2014)CrossRef Z. Bi, L.D. Xu, C. Wang, Internet of things for enterprise systems of modern manufacturing. IEEE Trans. Ind. Inf. 10(2), 1537–1546 (2014)CrossRef
8.
go back to reference S. Bin, L. Yuan, W. Xiaoyi, Research on Data Mining Models for the Internet of Things, in Proc. International Conference on Image Analysis and Signal Processing, (Xiamen, 2010), pp. 127–132 S. Bin, L. Yuan, W. Xiaoyi, Research on Data Mining Models for the Internet of Things, in Proc. International Conference on Image Analysis and Signal Processing, (Xiamen, 2010), pp. 127–132
9.
go back to reference D. Boos, H. Guenter, G. Grote, K. Kinder, Controllable accountabilities: the internet of things and its challenges for organizations. Behav. Inform. Technol. 32(5), 449–467 (2013)CrossRef D. Boos, H. Guenter, G. Grote, K. Kinder, Controllable accountabilities: the internet of things and its challenges for organizations. Behav. Inform. Technol. 32(5), 449–467 (2013)CrossRef
10.
go back to reference R. Bose, Competitive intelligence process and tools for intelligence analysis. Ind. Manag. Data Syst. 108(4), 510–528 (2008)CrossRef R. Bose, Competitive intelligence process and tools for intelligence analysis. Ind. Manag. Data Syst. 108(4), 510–528 (2008)CrossRef
11.
go back to reference K. Butner, The smarter supply chain of the future. Strateg. Leadersh. 38(1), 22–31 (2010)CrossRef K. Butner, The smarter supply chain of the future. Strateg. Leadersh. 38(1), 22–31 (2010)CrossRef
12.
go back to reference S. Chapman, P. Carter, Supplier/customer inventory relationships under just-in-time. Decis. Sci. 21(1), 35–51 (1990)CrossRef S. Chapman, P. Carter, Supplier/customer inventory relationships under just-in-time. Decis. Sci. 21(1), 35–51 (1990)CrossRef
13.
go back to reference M. Chen, S. Mao, Y. Liu, Big data: a survey. Mobile Netw. Appl. 19(2), 171–209 (2014)CrossRef M. Chen, S. Mao, Y. Liu, Big data: a survey. Mobile Netw. Appl. 19(2), 171–209 (2014)CrossRef
14.
go back to reference H. Chesbrough, A.K. Crowther, Beyond high tech: early adopters of open innovation in other industries. R D Manag. 36(3), 229–236 (2006)CrossRef H. Chesbrough, A.K. Crowther, Beyond high tech: early adopters of open innovation in other industries. R D Manag. 36(3), 229–236 (2006)CrossRef
15.
go back to reference S. Devaraj, R. Kohli, Information technology payoff in the health-care industry: a longitudinal study. J. Manag. Inf. Syst. 16(4), 41–67 (2000)CrossRef S. Devaraj, R. Kohli, Information technology payoff in the health-care industry: a longitudinal study. J. Manag. Inf. Syst. 16(4), 41–67 (2000)CrossRef
16.
go back to reference N. Economides, E. Katsamakas, Two-sided competition of proprietary vs. open source technology platforms and the implications for the software industry. Manag. Sci. 52(7), 1057–1071 (2006)CrossRef N. Economides, E. Katsamakas, Two-sided competition of proprietary vs. open source technology platforms and the implications for the software industry. Manag. Sci. 52(7), 1057–1071 (2006)CrossRef
18.
go back to reference M.U. Farooq, M. Waseem, A. Khairi, S. Mazhar, A critical analysis on the security concerns of internet of things (IoT). Int. J. Comput. Appl. 111(7), 1–5 (2015) M.U. Farooq, M. Waseem, A. Khairi, S. Mazhar, A critical analysis on the security concerns of internet of things (IoT). Int. J. Comput. Appl. 111(7), 1–5 (2015)
19.
go back to reference D. Fisher, R. DeLine, M. Czerwinski, S. Drucker, Interactions with big data analytics. Interaction 19(3), 50–59 (2012)CrossRef D. Fisher, R. DeLine, M. Czerwinski, S. Drucker, Interactions with big data analytics. Interaction 19(3), 50–59 (2012)CrossRef
20.
go back to reference R.K. Ganti, F. Ye, H. Lei, Mobile Crowdsensing: current state and future challenges. IEEE Commun. Mag. 49(11), 32–39 (2011)CrossRef R.K. Ganti, F. Ye, H. Lei, Mobile Crowdsensing: current state and future challenges. IEEE Commun. Mag. 49(11), 32–39 (2011)CrossRef
21.
go back to reference Gartner Press Release, Gartner’s 2014 Hype Cycle for emerging technologies maps the journey to digital business. 2015 (2014) Gartner Press Release, Gartner’s 2014 Hype Cycle for emerging technologies maps the journey to digital business. 2015 (2014)
22.
go back to reference G.L. Geerts, D.E. OLeary, A supply chain of things: the EAGLET ontology for highly visible supply chains. Decis. Support. Syst. 63(1), 3–22 (2014)CrossRef G.L. Geerts, D.E. OLeary, A supply chain of things: the EAGLET ontology for highly visible supply chains. Decis. Support. Syst. 63(1), 3–22 (2014)CrossRef
23.
go back to reference M. Grunow, S. Piramuthu, RFID in highly perishable food supply chains – remaining shelf life to supplant expiry date? Int. J. Prod. Econ. 146(2), 717–727 (2013)CrossRef M. Grunow, S. Piramuthu, RFID in highly perishable food supply chains – remaining shelf life to supplant expiry date? Int. J. Prod. Econ. 146(2), 717–727 (2013)CrossRef
24.
go back to reference J. Gubbi, R. Buyya, S. Marusic, M. Palaniswami, Internet of things (IoT): a vision, architectural elements, and future directions. Futur. Gener. Comput. Syst. 29(7), 1645–1660 (2013)CrossRef J. Gubbi, R. Buyya, S. Marusic, M. Palaniswami, Internet of things (IoT): a vision, architectural elements, and future directions. Futur. Gener. Comput. Syst. 29(7), 1645–1660 (2013)CrossRef
25.
go back to reference T. Guimaraes, D. Cook, N. Natarajan, Exploring the importance of business clock-speed as a moderator for determinants of supplier network performance. Decis. Sci. 33(4), 629–644 (2002)CrossRef T. Guimaraes, D. Cook, N. Natarajan, Exploring the importance of business clock-speed as a moderator for determinants of supplier network performance. Decis. Sci. 33(4), 629–644 (2002)CrossRef
26.
go back to reference O.K. Ha, Y.S. Song, K.Y. Chung, K.D. Lee, D. Park, Relation model describing the effects of introducing RFID in the supply chain: evidence from the food and beverage industry in South Korea. Pers. Ubiquit. Comput. 18(3), 553–561 (2014)CrossRef O.K. Ha, Y.S. Song, K.Y. Chung, K.D. Lee, D. Park, Relation model describing the effects of introducing RFID in the supply chain: evidence from the food and beverage industry in South Korea. Pers. Ubiquit. Comput. 18(3), 553–561 (2014)CrossRef
28.
go back to reference HP, HP study reveals 70 percent of internet of things devices vulnerable to attack. 2015 (2014) HP, HP study reveals 70 percent of internet of things devices vulnerable to attack. 2015 (2014)
29.
go back to reference C.-F. Hsueh, M.-S. Chang, A model for intelligent transportation of perishable products. Int. J. Intell. Transp. Syst. Res. 8(1), 36–41 (2010) C.-F. Hsueh, M.-S. Chang, A model for intelligent transportation of perishable products. Int. J. Intell. Transp. Syst. Res. 8(1), 36–41 (2010)
31.
go back to reference IDC, Worldwide and regional internet of things (IoT) 2014–2020 forecast: a virtuous circle of proven value and demand. 2015 (2014) IDC, Worldwide and regional internet of things (IoT) 2014–2020 forecast: a virtuous circle of proven value and demand. 2015 (2014)
32.
go back to reference Q. Jing, A.V. Vasilakos, J. Wan, J. Lu, D. Qiu, Security of the internet of things: perspectives and challenges. Wirel. Netw 20(8), 2481–2501 (2014)CrossRef Q. Jing, A.V. Vasilakos, J. Wan, J. Lu, D. Qiu, Security of the internet of things: perspectives and challenges. Wirel. Netw 20(8), 2481–2501 (2014)CrossRef
33.
go back to reference A. Karkouch, H. Mousannif, H. Al Moatassime, T. Noel, Data quality in internet of things: a state-of-the-art survey. J. Netw. Comput. Appl. 73, 57–81 (2016)CrossRef A. Karkouch, H. Mousannif, H. Al Moatassime, T. Noel, Data quality in internet of things: a state-of-the-art survey. J. Netw. Comput. Appl. 73, 57–81 (2016)CrossRef
34.
go back to reference R. Khan, S.U. Khan, R. Zaheer, S. Khan, Future Internet: The Internet of Things Architecture, Possible Applications and Key Challenges, in 2012 10th International Conference on Frontiers of Information Technology (FIT): Proceedings, (Institute of Electrical and Electronics Engineers Inc, Islamabad, 2012), pp. 257–260 R. Khan, S.U. Khan, R. Zaheer, S. Khan, Future Internet: The Internet of Things Architecture, Possible Applications and Key Challenges, in 2012 10th International Conference on Frontiers of Information Technology (FIT): Proceedings, (Institute of Electrical and Electronics Engineers Inc, Islamabad, 2012), pp. 257–260
35.
go back to reference D.H. Kim, J.Y. Cho, S. Kim, J. Lim, A study of developing security requirements for internet of things (IoT). Adv. Sci. Tech. 87, 94–99 (2015). Art, culture, game, graphics, broadcasting and digital contents D.H. Kim, J.Y. Cho, S. Kim, J. Lim, A study of developing security requirements for internet of things (IoT). Adv. Sci. Tech. 87, 94–99 (2015). Art, culture, game, graphics, broadcasting and digital contents
36.
go back to reference Kimberly-Clark, Kimberly-Clark connecting with startup innovation at CES 2015 (2014) Kimberly-Clark, Kimberly-Clark connecting with startup innovation at CES 2015 (2014)
37.
go back to reference D.R. Krause, R.B. Handfield, B.B. Tyler, The relationships between supplier development, commitment, social capital accumulation and performance improvement. J. Oper. Manag. 25(2), 528–545 (2007)CrossRef D.R. Krause, R.B. Handfield, B.B. Tyler, The relationships between supplier development, commitment, social capital accumulation and performance improvement. J. Oper. Manag. 25(2), 528–545 (2007)CrossRef
38.
go back to reference A. Kumar, F. Niu, C. Ré, Hazy: making it easier to build and maintain big-data analytics. Commun. ACM 56(3), 40–49 (2013)CrossRef A. Kumar, F. Niu, C. Ré, Hazy: making it easier to build and maintain big-data analytics. Commun. ACM 56(3), 40–49 (2013)CrossRef
39.
go back to reference M.T. Lazarescu, Design of a WSN platform for long-term environmental monitoring for IoT applications. IEEE J. Emerging Sel. Top. Circuits Syst. 3(1), 45–54 (2013)CrossRef M.T. Lazarescu, Design of a WSN platform for long-term environmental monitoring for IoT applications. IEEE J. Emerging Sel. Top. Circuits Syst. 3(1), 45–54 (2013)CrossRef
40.
go back to reference I. Lee, The internet of things (IoT) for supply chain innovation: a conceptual framework and analysis of fortune 200 companies. Asia Pac. J. Innov. Entrep. 9(1), 81–103 (2015) I. Lee, The internet of things (IoT) for supply chain innovation: a conceptual framework and analysis of fortune 200 companies. Asia Pac. J. Innov. Entrep. 9(1), 81–103 (2015)
41.
go back to reference I. Lee, K. Lee, The internet of things (IoT): applications, investments, and challenges for enterprises. Bus. Horiz. 58(4), 431–440 (2015)CrossRef I. Lee, K. Lee, The internet of things (IoT): applications, investments, and challenges for enterprises. Bus. Horiz. 58(4), 431–440 (2015)CrossRef
42.
go back to reference J. Lee, Y. Kim, Effect of partnership quality on IS outsourcing success: conceptual framework and empirical validation. J. Manag. Inf. Syst. 15(4), 29–61 (1999)CrossRef J. Lee, Y. Kim, Effect of partnership quality on IS outsourcing success: conceptual framework and empirical validation. J. Manag. Inf. Syst. 15(4), 29–61 (1999)CrossRef
43.
go back to reference F. Al-Turjman, S. Alturjman, Context-sensitive access in industrial internet of things (IIoT) healthcare applications. IEEE Trans Ind Inf 14(6), 2736–2744 (2018)CrossRef F. Al-Turjman, S. Alturjman, Context-sensitive access in industrial internet of things (IIoT) healthcare applications. IEEE Trans Ind Inf 14(6), 2736–2744 (2018)CrossRef
44.
go back to reference L. Mainetti, L. Patrono, A. Vilei, Evolution of wireless sensor networks towards the internet of things: a survey. 2011 19th international conference on Software, Telecommunications and Computer Networks (SoftCOM), 1–6 (2011) L. Mainetti, L. Patrono, A. Vilei, Evolution of wireless sensor networks towards the internet of things: a survey. 2011 19th international conference on Software, Telecommunications and Computer Networks (SoftCOM), 1–6 (2011)
45.
go back to reference J. Mariani, E. Quasney, M.E. Raynor, Forging links into loops: the internet of things’ potential to recast supply chain management. Deloitte Review, 17 (2015) J. Mariani, E. Quasney, M.E. Raynor, Forging links into loops: the internet of things’ potential to recast supply chain management. Deloitte Review, 17 (2015)
46.
go back to reference H. Mendelson, R. Pillai, Clockspeed and information response: evidence from the information technology sector. Inf. Syst. Res. 9(4), 415–433 (1998)CrossRef H. Mendelson, R. Pillai, Clockspeed and information response: evidence from the information technology sector. Inf. Syst. Res. 9(4), 415–433 (1998)CrossRef
47.
go back to reference J.T. Mentzer, S. Min, Z.G. Zacharia, The nature of interfirm partnering in supply chain management. J. Retail. 76(4), 549–568 (2000)CrossRef J.T. Mentzer, S. Min, Z.G. Zacharia, The nature of interfirm partnering in supply chain management. J. Retail. 76(4), 549–568 (2000)CrossRef
48.
go back to reference R.E. Miles, C.C. Snow, Organization theory and supply chain management: an evolving research perspective. J. Oper. Manag. 25(2), 459–463 (2007)CrossRef R.E. Miles, C.C. Snow, Organization theory and supply chain management: an evolving research perspective. J. Oper. Manag. 25(2), 459–463 (2007)CrossRef
49.
go back to reference J. Mineraud, O. Mazhelis, X. Su, S. Tarkoma, A gap analysis of internet-of-things platforms. Comput. Commun. 89-90, 5–16 (2016)CrossRef J. Mineraud, O. Mazhelis, X. Su, S. Tarkoma, A gap analysis of internet-of-things platforms. Comput. Commun. 89-90, 5–16 (2016)CrossRef
52.
go back to reference K.J. Petersen, G.L. Ragatz, R.M. Monczka, An examination of collaborative planning effectiveness and supply chain performance. J. Supply Chain Manag. 41(2), 14–25 (2005)CrossRef K.J. Petersen, G.L. Ragatz, R.M. Monczka, An examination of collaborative planning effectiveness and supply chain performance. J. Supply Chain Manag. 41(2), 14–25 (2005)CrossRef
53.
go back to reference L. Ping, Q. Liu, Z. Zhou, H. Wang, Agile Supply Chain Management over the Internet of Things, in 2011 International Conference on Management and Service Science (MASS), (Wuhan, 2011), pp. 1–4 L. Ping, Q. Liu, Z. Zhou, H. Wang, Agile Supply Chain Management over the Internet of Things, in 2011 International Conference on Management and Service Science (MASS), (Wuhan, 2011), pp. 1–4
54.
go back to reference K. Pramatari, Collaborative supply chain practices and evolving technological approaches. Supply Chain Manag. 12(3), 210–220 (2007)CrossRef K. Pramatari, Collaborative supply chain practices and evolving technological approaches. Supply Chain Manag. 12(3), 210–220 (2007)CrossRef
55.
go back to reference R.V. Priya, A. Vadivel, S. Thakur, Maximal pattern mining using fast CP-tree for knowledge discovery. Int. J. Inf. Syst. Soc. Chang. 3(1), 56–74 (2012)CrossRef R.V. Priya, A. Vadivel, S. Thakur, Maximal pattern mining using fast CP-tree for knowledge discovery. Int. J. Inf. Syst. Soc. Chang. 3(1), 56–74 (2012)CrossRef
56.
go back to reference P.J. Reaidy, A. Gunasekaran, A. Spalanzani, Bottom-up approach based on internet of things for order fulfillment in a collaborative warehousing environment. Int. J. Prod. Econ. 159, 29–40 (2015)CrossRef P.J. Reaidy, A. Gunasekaran, A. Spalanzani, Bottom-up approach based on internet of things for order fulfillment in a collaborative warehousing environment. Int. J. Prod. Econ. 159, 29–40 (2015)CrossRef
57.
go back to reference R. Roman, J. Zhou, J. Lopez, On the features and challenges of security and privacy in distributed internet of things. Comput. Netw. 57(10), 2266–2279 (2013)CrossRef R. Roman, J. Zhou, J. Lopez, On the features and challenges of security and privacy in distributed internet of things. Comput. Netw. 57(10), 2266–2279 (2013)CrossRef
58.
go back to reference D. Singh, G. Tripathi, A.J. Jara, A survey of internet-of-things: future vision, architecture, challenges and services. 2014 IEEE world forum on internet of things (WF-IoT) (2014) D. Singh, G. Tripathi, A.J. Jara, A survey of internet-of-things: future vision, architecture, challenges and services. 2014 IEEE world forum on internet of things (WF-IoT) (2014)
59.
go back to reference H. Sundmaeker, P. Guillemin, P. Friess, S. Woelfflé, Vision and challenges for realising the internet of things, CERP-IoT – Cluster of European Research Projects on the Internet of Things. 2014 (2010) H. Sundmaeker, P. Guillemin, P. Friess, S. Woelfflé, Vision and challenges for realising the internet of things, CERP-IoT – Cluster of European Research Projects on the Internet of Things. 2014 (2010)
60.
go back to reference F. Tao, Y. Zuo, L.D. Xu, L. Zhang, IoT based intelligent perception and access of manufacturing resource towards cloud manufacturing. IEEE Transactions on Industrial Informatics 10(2), 1547–1557 (2014)CrossRef F. Tao, Y. Zuo, L.D. Xu, L. Zhang, IoT based intelligent perception and access of manufacturing resource towards cloud manufacturing. IEEE Transactions on Industrial Informatics 10(2), 1547–1557 (2014)CrossRef
61.
go back to reference C.-W. Tsai, C.-F. Lai, M.-C. Chiang, L.T. Yang, Data mining for internet of things: a survey. IEEE Commun. Surv. Tutorials 16(1), 77–97 (2014)CrossRef C.-W. Tsai, C.-F. Lai, M.-C. Chiang, L.T. Yang, Data mining for internet of things: a survey. IEEE Commun. Surv. Tutorials 16(1), 77–97 (2014)CrossRef
62.
go back to reference H. Wang, T. Zhang, Y. Quan, R. Dong, Research on the framework of the environmental internet of things. Int J Sust Dev World 20(3), 199–204 (2013)CrossRef H. Wang, T. Zhang, Y. Quan, R. Dong, Research on the framework of the environmental internet of things. Int J Sust Dev World 20(3), 199–204 (2013)CrossRef
63.
go back to reference C.C. White III, T. Cheong, In-transit perishable product inspection. Res. E Logist. Transp. Rev. 48(1), 310–330 (2012)CrossRef C.C. White III, T. Cheong, In-transit perishable product inspection. Res. E Logist. Transp. Rev. 48(1), 310–330 (2012)CrossRef
64.
go back to reference B. Xu, L.D. Xu, H. Cai, C. Xie, J. Hu, F. Bu, Ubiquitous data accessing method in IoT-based information system for emergency medical services. IEEE Trans. Ind. Inf. 10(2), 1578–1586 (2014)CrossRef B. Xu, L.D. Xu, H. Cai, C. Xie, J. Hu, F. Bu, Ubiquitous data accessing method in IoT-based information system for emergency medical services. IEEE Trans. Ind. Inf. 10(2), 1578–1586 (2014)CrossRef
65.
go back to reference M. Porter, The value chain and competitive advantage, Chapter 2 in competitive advantage: creating and sustaining superior performance (Free Press, New York, 1985), pp. 33–61CrossRef M. Porter, The value chain and competitive advantage, Chapter 2 in competitive advantage: creating and sustaining superior performance (Free Press, New York, 1985), pp. 33–61CrossRef
66.
go back to reference Z. Zhou, Z. Zhou, Application of internet of things in agriculture products supplies chain management. International Conference on Control Engineering and Communication Technology (ICCECT) (2012) Z. Zhou, Z. Zhou, Application of internet of things in agriculture products supplies chain management. International Conference on Control Engineering and Communication Technology (ICCECT) (2012)
67.
go back to reference L.J. Krajewski, L.P. Ritzman, M.K. Malhotra, Operations Management: Processes and Supply Chains, 10th edn. (Pearson, 2013) L.J. Krajewski, L.P. Ritzman, M.K. Malhotra, Operations Management: Processes and Supply Chains, 10th edn. (Pearson, 2013)
68.
go back to reference C. Brian Gibson, C. Defee, H. Chen, J.B. Hanna, The Definitive Guide to Integrated Supply Chain Management: Optimize the Interaction between Supply Chain Processes, Tools, and Technologies (Council of Supply Chain Management Professionals), 1st edn. (Prentice Hall Inc, 2014) C. Brian Gibson, C. Defee, H. Chen, J.B. Hanna, The Definitive Guide to Integrated Supply Chain Management: Optimize the Interaction between Supply Chain Processes, Tools, and Technologies (Council of Supply Chain Management Professionals), 1st edn. (Prentice Hall Inc, 2014)
69.
go back to reference Miguel Gastón Cedillo-Campos, Supply chain clustering: The next logistics frontier?, International Congress on Logistics & Supply Chain, CiLOG2014 Miguel Gastón Cedillo-Campos, Supply chain clustering: The next logistics frontier?, International Congress on Logistics & Supply Chain, CiLOG2014
Metadata
Title
Application of Cloud Computing and Internet of Things to Improve Supply Chain Processes
Authors
S. Kanimozhi Suguna
Suresh Nanda Kumar
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-319-99061-3_9