Case Study Of RFID In Supply Chain

1. RFID is a technology with full benefits which are not utilized by all the industries yet. It is expected to bring a good opportunity for improvement in the supply chain and ultimately increasing the profitability of the organization. The author discusses about the basics of RFID and about the impact and value that RFID technology could bring into the supply chain. Six sigma as a tool to reduce the number of abnormalities in the products/process was discussed. A new framework based up to the concepts of RFID, supply chain and six sigma are presented and discussed. The case study demonstrates the use of six sigma in the supply chain using 2-tuple FLC model. The second case study concentrates on the timely delivery at an expected service level

The industry grounded definition of big data has been discussed by considering six supply chain managers across six nations. It defines the big data in supply chain as the formation of four dimensions namely volume, velocity, variety and veracity. The research paper touches upon further importance of the future of supply chain relationship strategy and performance. The researcher approached 27 companies across six industrialized and industrializing nations. The author also mentioned the key success factors for big data implementation in supply chain management. The researcher used a native category approach in which the interviewer’s historical bias is avoided. This approach is designed so that the respondents are into open ended discussions and the future questions are based on the key comments made by respondents. The respondents were mainly involved in integrating big data systems and developing tools to organize and analyze the data more efficiently. The challenge could be the involvement of top management where they do not clearly define the extent to which the data could be shared. Also the top management is not clear over the understanding the possible return on investment from big data

The main aim of big data analytics to have better decision power. The decision support system is being a tool for managing complex supply chain. The research paper presents a multi-agent-based supply chain management system that incorporates big data analytics which can enable better corrective control actions. The paper discusses the applications of the multi agent supply chain management. The author has presented the use of multi agent based supply chain system could enhance the supply chain agility inspite of increased complexity of global supply chains. The model provides a complete decision support framework for fundamental supply chain business processes. The paper links the big data analytics and the supply chain performance.

Mihalis Giannakis Michalis Louis , (2016),"A multi-agent based system with big data processing for enhanced supply chain agility", Journal of Enterprise Information Management, Vol. 29 Iss 5 pp. 706