Vaggelis Giannikas



Accepting PhD Students

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Personal profile

Research interests

Central to my research has always been the usage of digital technologies to manage and support business operations in a more intelligent way. Generally, these technologies can enable either data collection and sharing or decision-making and execution. I am interested in application areas across the value chain with a special focus on supply chain management and logistics.

Willing to supervise PhD

I am looking forward to working with students with an interest in the application and evaluation of digital/IT technologies in business operations, especially in logistics and supply chain management. I am happy to discuss your personal ideas and I am generally open to new topics.

Other responsibilities

I am the director of studies for the school's engineering management portfolio, consisting of the MSc in Innovation and Technology Management and the MSc in Engineering Business Management.

Education/Academic qualification

Operations Management and Technology, Doctor of Philosophy, University of Cambridge

1 Oct 201030 Sep 2014

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Warehouses Engineering & Materials Science
Supply chains Engineering & Materials Science
Logistics Engineering & Materials Science
Labeling Engineering & Materials Science
Printing Engineering & Materials Science
Industry Engineering & Materials Science
Radio frequency identification (RFID) Engineering & Materials Science
Costs Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2017 2019

Research Output 2012 2019

2 Citations (Scopus)

Towards the deployment of customer orientation: A case study in third-party logistics

Giannikas, V., McFarlane, D. & Strachan, J., 1 Jan 2019, In : Computers in Industry. 104, p. 75-87 13 p.

Research output: Contribution to journalArticle

1 Citation (Scopus)

Customising with 3D printing: The role of intelligent control

Srinivasan, R., Giannikas, V., McFarlane, D. & Thorne, A., Dec 2018, In : Computers in Industry. 103, p. 38-46 9 p.

Research output: Contribution to journalArticle

Intelligent control
Control systems
Production control
12 Citations (Scopus)

An interventionist strategy for warehouse order picking: Evidence from two case studies

Giannikas, V., Lu, W., Robertson, B. & McFarlane, D., Jul 2017, In : International Journal of Production Economics. 189, p. 63-76 14 p.

Research output: Contribution to journalArticle

Open Access
Order picking
7 Citations (Scopus)

Augmented Reality in Warehouse Operations: Opportunities and Barriers

Stoltz, M-H., Giannikas, V., McFarlane, D., Strachan, J., Um, J. & Srinivasan, R., Jul 2017, IFAC World Congress. Vol. 50. p. 12979-12984 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Customisation in manufacturing: The use of 3D printing

Srinivasan, R., Giannikas, V., McFarlane, D. & Ahmed, M., 3 Mar 2017, Service Orientation in Holonic and Multi-Agent Manufacturing: SOHOMA 2016. Springer Verlag, p. 215-223 9 p. (Studies in Computational Intelligence; vol. 694).

Research output: Chapter in Book/Report/Conference proceedingChapter

Open Access
Distributed parameter control systems