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A Proposed Architecture for Big Data Driven Supply Chain Analytics
--Sanjib Biswas and Jaydip Sen
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 Datacentric 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 the 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.
© 2016 IUP. All Rights Reserved.
Application of Six Sigma in Supply Chain Management:
Evaluation and Measurement Approach
--Pankaj M Madhani
Firms have to analyze, monitor and make improvements of their existing Supply Chain Management (SCM) processes in order to beat market competition and stay competitive. In this regard, the Six Sigma is a methodology that enables the firms to review their existing SCM practices and guide them in making improvements. Six Sigma focuses on reducing variation, measuring defects and improving the quality of products, processes and services. Six Sigma-based SCM effectively manages typical disruption issues in supply chain as it ensures the delivery of the most appropriate product, in right time, in right place with the least cost to the customer. This paper develops an integrative framework and the business value-added framework and financial matrix to measure and evaluate the impact of Six Sigma on SCM. As identified and emphasized in this paper, efficiency and effectiveness drivers of SCM and accompanying business values generated by Six Sigma deployment in SCM positively influence an organization's overall business performance.
© 2016 IUP. All Rights Reserved.
Strategic Suppliers Selection Through AHP Model:
A Case of an Indian Pharmaceutical Company
--S S Pal, Rushina Singhi and Dinesh R
Company managers in generic pharmaceutical industries routinely face the challenge of selecting their downstream supply associates to reach their clients most profitably. These suppliers in the downlink to their client entities must satisfy the given performance criteria. This paper shortlists the applicable performance criteria for the candidate suppliers from the literature review and field survey for a case company—Actimed French Remedies (AFR) Pharmaceutical Manufacturing Company Limited. Pre-qualified suppliers of the company are then pitted against one another along the chosen performance dimensions according to the Analytic Hierarchy Process (AHP) methodology. This paper brings out an actionable decision alternative for the case company as the outcome of the present inquiry.
© 2016 IUP. All Rights Reserved.
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