Supply Chain Integration with Big Data


Added on  2019-09-20

4 Pages790 Words244 Views
Business DevelopmentData Science and Big Data
ReportSupply chain integration with Big DataThe supply chain is a sequence of the processes that are undertaken for producing anddistributing a commodity (Christopher, 2016). Big Data is that data that is beyond theprocessing capacity of the traditional databases systems (Mayer-Schönberger, 2013).The big data has an impact on the drivers of the supply chain, and the big data addsvalue to the overall operations of the supply chain by improving the efficiency of itsoperations depending on the result of the analysis. Thus, the integration of supplychain needs to be done with the Big Data. The qualitative and the quantitative methods from the various disciplines are used bythe supply chain management data science for predicting the outcomes and solve theproblems related to SCM. This helps in predicting the past and future integrationlevels of the business processes of the companies and the costs and service levelsassociated with it. The phases of the flow of information can be analyzed where it can be seen that whichdata is coming from which of the SCM system like the CPFR, EDI, etc.Supply chain integration with Internet of thingsThe businesses focus on getting the direct feedback from the customers’ by usingtechnologies and social platforms. They do this by obtaining the ratings, reviews fromthem and from the blog comments. The data which is obtained from the mobile, socialplatforms and the e-commerce is integrated with the data which is obtained from theenterprise systems. 1
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The phase of manufacturing has also changed from the event-based planning to thereal-time sensing because of the introduction of the internet of things and thecommunication that happens via machine-to-machine (Pang, 2015). The sensortechnology has evolved which has provided real-time equipment and the conditions ofthe product data that has resulted in the automated maintenance and the processadjustments. The volume of the data has grown tremendously, both in volume and in velocity.Thus, it can bring tremendous value if it is exploited in the right way using theinternet of things. The competitive level of companies cannot be achieved if the technologies usinginternet of things is not there. Therefore, all the model of the company has to besynchronized with internet, and this can be done by creating a separate informationflow that will help the companies in capturing, processing, analyzing, storing andexchanging the data for the each and every operation via internet that they perform(Schoenherr, 2015). For example, in Germany, the internet is available at very less cost and the people canaccess it from any part in bulk. The availability of the internet is easy and it isinexpensive too. So, all the business in Germany is driven by internet and there arevery less physical set ups at that place. Expectations in the future In the future, it is expected that the productivity of the companies will be driven alongthe entire length of its supply chain and the big data and the internet of things will be2
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