Items where Subject is "TECHNOLOGY > Manufacturing"

A

Al-Rawe, Auday. (1998). Desigining methodology for optimising the performance of underground GRP tanks. PhD thesis, Southampton Solent University [validated by Nottingham Trent University].

D

Dai, Yang. (2007). A development and extension of the engineering solutions for the Miles and Snow's adaptive cycle. PhD thesis, Southampton Solent University [Validated by Nottingham Trent University].

H

He, Zhonglin. (1998). Software quality improvement by application of the Japanese manufacturing quality techniques. PhD thesis, Southampton Solent University [Validated by Nottingham Trent University].

J

Jones, Mark. (2010). Interactive Console. [Artefact]

Jones, Mark. (2008). Sonic Phonics. [Artefact]

Jones, Mark. (2008). Talking Golf Holes. [Artefact]

Jones, Mark. (2011). Talking Targets. [Artefact]

M

Marasini, Ramesh and Ions, Kevin and Ahmad, Munir. (2008). Assessment of e-business adoption in SMEs: A study of manufacturing industry in the UK North East Region. Journal of Manufacturing Technology Management, 19(5), p 627-644. Integrated Manufacturing Systems (renamed Journal of Manufacturing Technology Management), 2008, 19 (5), pp. 627-644

Milchem, Rob. (2009). Volume adaptive equalizer. [Final Year Project]

Mosley, Nile Spencer. (1996). Solutions to the Navier-Stokes equation set for spiral pipes. PhD thesis, Southampton Solent University [Validated by Nottingham Trent University].

P

Parry, Bryn. (2012). "Future of Logistics". In: Management Day - BAT/DHL Lead Logistics Partnership, Southampton Solent Conference Centre.

S

Shi, Hong. (1996). Condition monitoring in the optical fibre drawing process through the use of neural networks. PhD thesis, Southampton Solent University [validated by Nottingham Trent University].

Spinks, John. Factories. Nodaysoff.

T

Taura, Nasiru. (2012). How do African Clusters Evolve? Review and Synthesis of the Evolution of African Industrial Cluster Studies. In: PhD workshop presentation, November 2012, Southampton Solent University. (Unpublished)

W

Wang, Zhijun. (1995). Investigation of a fuzzy approach to condition monitoring of tool wear during drilling. PhD thesis, Southampton Solent University [validated by Nottingham Trent University].