Supply Chain Management in the Big Data Era

Supply Chain Management in the Big Data Era

Hing Kai Chan (University of Nottingham Ningbo, China), Nachiappan Subramanian (University of Sussex, UK) and Muhammad Dan-Asabe Abdulrahman (University of Nottingham Ningbo, China)
Indexed In: SCOPUS
Release Date: November, 2016|Copyright: © 2017 |Pages: 299
ISBN13: 9781522509561|ISBN10: 1522509569|EISBN13: 9781522509578|DOI: 10.4018/978-1-5225-0956-1

Description

Technological advancements in recent years have led to significant developments within a variety of business applications. In particular, data-driven research provides ample opportunity for enterprise growth, if utilized efficiently.

Supply Chain Management in the Big Data Era is an authoritative reference source for the latest scholarly material on the implementation of big data analytics for improved operations and supply chain processes. Highlighting emerging strategies from different industry perspectives, this book is ideally designed for managers, professionals, practitioners, and students interested in the most recent research on supply chain innovations.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Inventory management
  • Logistics management
  • Manufacturing Industry
  • Predictive Maintenance
  • RFID Applications
  • Service Industry
  • Social Media
  • Web services

Reviews and Testimonials

From presentations to a July 2015 conference on operations and supply chain management at the University of Nottingham-Ningbo China, 12 papers that discuss big data were selected for publication here. They cover insights from the academia and practitioners, big data on operations and supply chains, big data and emerging technology, and social media data research. Among specific topics are big data analytics: service and manufacturing perspectives, big data analytics for predictive maintenance strategies, the data-driven inventory management in the healthcare supply chain, developing an integration framework for crowdsourcing and Internet of Things with applications for disaster response, and exploring the hidden pattern from tweets: the investigation into the Volkswagen emissions scandal.

– Protoview Reviews

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Nachiappan (Nachi) Subramanian is a Reader in Operations and Logistics Management at University of Sussex. Nachi is a Senior Fellow of Higher Education Academy, UK and Charted member of Institute of Logistics and Transport. Previously, Nachi worked at University of Nottingham Ningbo, China for five years and at Thiagarajar College of Engineering, Madurai, India for twelve years. Nachi has 17 years of academic experience and 2 years of industrial experience. He has post-doctoral research experience at University of Nottingham, United Kingdom, RMIT University Melbourne, Australia and Indian Institute of Science Bangalore, India. He has received several research fellowship awards including BOYSCAST fellowship, Career award and Young Scientist fellowship award from Indian government agencies as well as Australian Endeavour Research Fellowship Award. His research works centres on novel research topics in logistics and supply chain management such as sustainability, risk and innovation and these topics are within our University priority research areas. Nachi is the principal investigator for two major research projects under the sustainable business model development theme of Innovation team project at UNNC. Nachi has published over 65 refereed research papers in leading operations and supply chain management journals. He also serves as a reviewer to many leading journals and has organised internationals conferences.

Indices