International Journal of Information Engineering and Electronic Business(IJIEEB)

ISSN: 2074-9023 (Print), ISSN: 2074-9031 (Online)

Published By: MECS Press

IJIEEB Vol.10, No.5, Sep. 2018

A Review on Data Analytics for Supply Chain Management: A Case study

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Anitha P, Malini M. Patil

Index Terms

Big Data;Supply Chain Management;Supply Chain Analytics;Supply Chain Network;regression analysis;Smart logistics;Big Data Management Systems


The present study bridges the gap between the two intersecting domains, data science and supply chain management. The data can be analyzed for inventory management, forecasting and prediction, which is in the form of reports, queries and forecasts. Because of the price, weather patterns, economic volatility and complex nature of business, the forecasts may not be accurate. This has resulted in the growth of Supply chain analytics. It is the application of qualitative and quantitative methods to solve relevant problems and to predict the outcomes by considering quality of data. The issues like increased collaboration between companies, customers, retailers and governmental organizations, companies are adopting Big Data solutions. Big Data applications can be linked for Supply Chain Management across the fields like procurement, transportation, warehouse operations, marketing and also for smart logistics. As supply chain networks becoming vast, more complex and driven by demands for more exacting service levels, the type of data that is managed and analyzed also becomes more complex. The present work aims at providing an overview of adoption of capabilities of Data Analytics as part of a “next generation” architecture by developing a linear regression model on a sales-data. The paper also covers the survey of how big data techniques can be used for storage, processing, managing, interpretation and visualization of data in the field of Supply chain.

Cite This Paper

Anitha P, Malini M. Patil," A Review on Data Analytics for Supply Chain Management: A Case study", International Journal of Information Engineering and Electronic Business(IJIEEB), Vol.10, No.5, pp. 30-39, 2018. DOI: 10.5815/ijieeb.2018.05.05


[1]Feki, Mondher, Imed Boughzala, and Samuel Fosso    Wamba. "Big Data Analytics-Enabled Supply Chain Transformation: A Literature Review." 2016 49th Hawaii International Conference on System Sciences (HICSS). IEEE, 2016

[2]Rozados, Ivan Varela, and Benny Tjahjono. "Big data analytics in supply chain management: Trends and related research." 6th Internafional Conference on Operafions and Supply Chain Management. 2014.

[3]Kao, Gio, et al. "Supply chain lifecycle decision analytics." Security Technology (ICCST), 2014 International Carnahan Conference on. IEEE, 2014. 

[4]Mishra, Deepa, et al. "Big Data and supply chain management: a review and bibliometric analysis." Annals of Operations Research (2016): 1-24.

[5]Kamble, Shridhar, Aaditya Desai, and Priya Vartak. "Data mining and data warehousing for supply chain management." Communication, Information & Computing Technology (ICCICT), 2015 International Conference on. IEEE, 2015. 

[6]Cox, Michael, and David Ellsworth. "Application-controlled demand paging for out-of-core visualization." Proceedings of the 8th conference on Visualization'97. IEEE Computer Society Press, 1997.

[7]Benabdellah, Abla Chaouni, Et Al. "Big Data for Supply Chain Management: Opportunities and Challenges."

[8]Lambert, Douglas M., and Martha C. Cooper. "Issues in supply chain management." Industrial marketing management 29.1 (2000): 65-83.

[9]Waller, Matthew A., and Stanley E. Fawcett. "Data science, predictive analytics, and big data: a revolution that will transform supply chain design and management." Journal of Business Logistics 34.2 (2013): 77-84. 

[10]Christopher, Martin. Logistics & supply chain management. Pearson UK, 2016.

[11]Jakobs K., Pils C., Wallbaum M. (2001) Using the Internet in Transport Logistics - The Example of a Track & Trace System. In: Lorenz P. (eds) Networking — ICN 2001. ICN 2001. Lecture Notes in Computer Science, vol 2093. Springer, Berlin, Heidelberg

[12]Amiri, Ali. "Designing a distribution network in a supply chain system: Formulation and efficient solution procedure." European Journal of Operational Research 171.2 (2006): 567-576.

[13]Dekker, Rommert, Jacqueline Bloemhof, and Ioannis Mallidis. "Operations Research for green logistics–An overview of aspects, issues, contributions and challenges." European Journal of Operational Research 219.3 (2012): 671-679.

[14]Souza, Gilvan C. "Supply chain analytics." Business Horizons 57.5 (2014): 595-605.

[15]Robak, S., Franczyk, B., Robak, M. (2014). Research Problems Associated with Big Data Utilization in Logistics and Supply Chain Design and Management. Annals of Computer Science and Information Systems, 3(1), 245-249.

[16]Mikavicaa, Branka, Aleksandra Kostić-  Ljubisavljevića, and Vesna Radonjić. "Big data: challenges and opportunities in logistics systems." 2nd Logistics Intl. Conference. 2015.

[17]Wang, Gang, et al. "Big data analytics in logistics and supply chain management: Certain investigations for research and applications." International Journal of Production Economics 176 (2016): 98-110.

[18]Robak, Silva, Bogdan Franczyk, and Marcin Robak. "Business process optimization with big data analytics under consideration of privacy." Computer Science and Information Systems (FedCSIS), 2016 Federated Conference on. IEEE, 2016.Hypothesis 

[19]Seroka-Stolka, Oksana. "Green Initiatives in Environmental Management of Logistics Companies.  " Transportation Research Procedia 16 (2016): 483-489. 

[20]Addo-Tenkorang, Richard, and Petri T. Helo. "Big data applications in operations/supply-chain management: A literature review." Computers & Industrial Engineering 101 (2016): 528-543.

[21]McFarlane, Duncan, Vaggelis Giannikas, and Wenrong Lu. "Intelligent logistics: Involving the customer." Computers in Industry 81 (2016): 105-115.

[22]Ceniga, Pavel, and Viera Sukalova. "Future of logistics management in the process of globalization." Procedia Economics and Finance 26 (2015): 160-166. 

[23]Palšaitis, Ramūnas, Kristina Čižiūnienė, and Kristina Vaičiūtė. "Improvement of Warehouse Operations Management by Considering Competencies of Human Resources." Procedia Engineering 187 (2017): 604-613. 

[24]Uckelmann, Dieter. "A definition approach to smart logistics." International Conference on Next Generation Wired/Wireless Networking. Springer Berlin Heidelberg, 2008.

[25]Kao, G., Lin, H., Eames, B., Haas, J., Fisher, A., Michalski, J., ... & Wyss, G. (2014, October). “Supply chain lifecycle decision analytics”. In Security Technology (ICCST), 2014 International Carnahan Conference on (pp. 1-7). IEEE

[26]Leveling, J., Edelbrock, M., & Otto, B. (2014, December). Big data analytics for supply chain management. In Industrial Engineering and Engineering Management (IEEM), 2014 IEEE International Conference on (pp. 918-922). IEEE.

[27]Kirch, Martin, Olaf Poenicke, and Klaus Richter. "RFID in Logistics and Production–Applications, Research and Visions for Smart Logistics Zones." Procedia Engineering 178 (2017): 526-533.

[28]Jian-qiang, Wu, Zhang Lei, and Zhu Guo-qing. "Performance-based Evaluation on the Logistics Warehouse." Procedia Engineering 11 (2011): 522-528.

[29]Slavakis, Konstantinos, Georgios B. Giannakis, and Gonzalo Mateos. "Modeling and optimization for big data analytics: (statistical) learning tools for our era of data deluge." IEEE Signal Processing Magazine 31.5 (2014): 18-31.

[30]Abai, Nur Hani Zulkifli, Jamaiah H. Yahaya, and Aziz Deraman. "User requirement analysis in data warehouse design: a review." Procedia Technology 11 (2013): 801-806.

[31]Park, Sung H. "Simple linear regression." International Encyclopedia of Statistical Science. Springer Berlin Heidelberg, 2011. 1327-1328.

[32]Srimani P.K., Patil M.M. (2014) Regression Model for Edu-data in Technical Education System: A Linear Approach. In: ICT and Critical Infrastructure: Proceedings of the 48th Annual Convention of Computer Society of India- Vol II. Advances in Intelligent Systems and Computing, vol 249. Springer, Cham. 

[33]Nivedita Das, Leena Das, Siddharth Swarup Rautaray, Manjusha Pandey, " Big Data Analytics for Medical Applications", International Journal of Modern Education and Computer Science(IJMECS), Vol.10, No.2, pp. 35-42, 2018.DOI: 10.5815/ijmecs.2018.02.04.

[34]Ping-Ho, Ting. "An efficient and guaranteed cold-chain logistics for temperature-sensitive foods: applications of RFID and sensor networks." International Journal of Information Engineering and Electronic Business 5.6 (2013): 

[35]Pradeep Kumar M. Kanaujia, Manjusha Pandey, Siddharth Swarup Rautaray, "A Framework for Development of Recommender System for Financial Data Analysis", International Journal of Information Engineering and Electronic Business(IJIEEB), Vol.9, No.5, pp. 18-27, 2017. DOI: 10.5815/ijieeb.2017.05.03