A Proposed Architecture for Big Data Driven Supply Chain Analytics

Abstract

Advancement in information and communication technology (ICT) has given rise to explosion of data in every field of operations. Working with the enormous volume of data (or Big Data, as it is popularly known as) for extraction of useful information to support decision making is one of the sources of competitive advantage for organizations today. Enterprises are leveraging the power of analytics in formulating business strategy in every facet of their operations to mitigate business risk. Volatile global market scenario has compelled the organizations to redefine their supply chain management (SCM). In this paper, we have delineated the relevance of Big Data and its importance in managing end to end supply chains for achieving business excellence. A Big Data-centric architecture for SCM has been proposed that exploits the current state of the art technology of data management, analytics and visualization. The security and privacy requirements of a Big Data system have also been highlighted and several mechanisms have been discussed to implement these features in a real world Big Data system deployment in the context of SCM. Some future scope of work has also been pointed out. Keyword: Big Data, Analytics, Cloud, Architecture, Protocols, Supply Chain Management, Security, Privacy.Comment: 24 pages, 4 figures, 3 table

Business Intelligence in Industry 4.0: State of the art and research opportunities

“…The classical BI architecture, relying on a data warehouse, cannot alone process unstructured or voluminous data in real or near real time [4]. Several authors have mentioned using Manufacturing Execution Systems (MES) to integrate data coming from different machines, devices and products [14], [21], [19] in real time.…”

“…Adaptive clustering for self-adjusting machines n/a n/a Biswas & Sen [4] Propose a supply chain architecture for classical and big data based analytics Need to adapt communication protocol based on application…”

Visual Analytics for Decision Support: A Supply Chain Perspective

“…Many analytical approaches have been proposed to support decision making for SC processes and activities [2]- [4]. These studies are mainly focused on the big data capabilities of companies.…”

“…There, VA is defined as "the science of analytical reasoning facilitated by interactive interfaces" [5]. The study presented in [2] included data visualization as part of their proposed architecture for SC analytics; in this paper, authors emphasized the role of VA in making effective decisions, however, the corresponding decisions regarding different SC processes are not identified. In our study, we aim to identify each of the decisions related to a particular SC business activity supported by VA.…”

Business Intelligence for Explore Customer in Internet Movie

“…Extract, Transform, and Load (ETL) or data integration process will be done using Pentaho [8]. Data warehouses have been well developed in other kinds of industries such as higher education [5], climate analysis [9], supply chain [10], and many other examples [11,12]. This paper is based on the kimball lifecycle until deploying the BI [6].…”