Dr Andrew Brint

Management School

Lecturer in Operations Management

A.Brint@sheffield.ac.uk
+44 114 222 3470

Room B061, Sheffield University Management School

Full contact details

Dr Andrew Brint
Management School
Room B061
Sheffield University Management School
Conduit Road
Sheffield
S10 1FL

Profile

Andrew holds an MSc in Computer Science (Manchester) and a PhD in Information Studies (Sheffield).

After postdoctoral work on computer vision, Andrew joined EA Technology in 1990 and worked on a variety of research and development projects for the electricity distribution industry.

In 1998, Andrew was appointed as a lecturer in the Centre for Operational Research and Applied Statistics at the University of Salford before joining Sheffield University in 2006.

Andrews previous employment and education include; Lecturer in OR and Applied Statistics at Salford University; Research Scientist at EA Technology; Postdoctoral research in computer vision at Oxford University; PhD in Information Studies from The University of Sheffield; MSc in Computer Science from Manchester University; Mathematics degree (1st class) from Oxford University.

Research interests

Andrew's research interests include:

Infrastructure Asset Management – particularly with regard to electricity distribution networks
The effects of asking and reservation prices in auctions and bargaining – especially for houses
Operations and Supply Chain Management.

Publications

Journal articles

Zaharudin ZA, Brint A & Genovese A (2022) A multi-period model for reorganising urban household waste recycling networks. Socio-Economic Planning Sciences, 101396-101396.
Calzolari T, Genovese A & Brint A (2022) Circular Economy indicators for supply chains : a systematic literature review. Environmental and Sustainability Indicators, 13. View this article in WRRO
Alharbi A, Cantarelli C & Brint A (2022) Crowd models for last mile delivery in an emerging economy. Sustainability, 14(3).
Zaharudin ZA, Brint A, Genovese A & Piccolo C (2021) A spatial interaction model for the representation of user access to household waste recycling centres. Resources, Conservation and Recycling, 168, 105438-105438.
Calzolari T, Genovese A & Brint A (2021) The adoption of circular economy practices in supply chains – An assessment of European Multi-National Enterprises. Journal of Cleaner Production, 127616.
Brint A, Genovese A, Piccolo C & Taboada-Perez GJ (2020) Reducing data requirements when selecting key performance indicators for supply chain management: The case of a multinational automotive component manufacturer. International Journal of Production Economics.
Palit N & Brint A (2020) The effect of risk aversion on the optimal project resource rate. European Journal of Operational Research. View this article in WRRO
Palit N & Brint A (2019) A win-win supply chain solution using project contracts with bargaining games. Operations Research Perspectives, 7. View this article in WRRO
Kumar N, Brint AT, Shi E, Upadhyay A & Ruan X (2019) Integrating sustainable supply chain practices with operational performance: An exploratory study of Chinese SMEs. Production Planning & Control, 30(5-6), 464-478. View this article in WRRO
Mokhtar ARM, Genovese A, Brint A & Kumar N (2019) Improving reverse supply chain performance: The role of supply chain leadership and governance mechanisms. Journal of Cleaner Production, 216, 42-55. View this article in WRRO
Mohamad Mokhtar AR, Genovese A, Brint A & Kumar N (2019) Supply chain leadership: A systematic literature review and a research agenda. International Journal of Production Economics. View this article in WRRO
Brint AT & Fry J (2019) Regional bias when benchmarking services using customer satisfaction scores. Total Quality Management and Business Excellence. View this article in WRRO
Brint A, Poursharif G, Black M & Marshall M (2018) Using grouped smart meter data in phase identification. Computers and Operations Research, 96, 213-222. View this article in WRRO
Poursharif G, Brint A, Holliday J, Black M & Marshall M (2018) Low voltage current estimation using AMI/smart meter data. International Journal of Electrical Power and Energy Systems, 99, 290-298. View this article in WRRO
Poursharif G, Brint AT, Black M & Marshall M (2018) Using smart meters to estimate low-voltage losses. IET Generation, Transmission and Distribution, 12(5), 1206-1212. View this article in WRRO
Fry J & Brint A (2017) Bubbles, Blind-Spots and Brexit. Risks, 5(3). View this article in WRRO
Brint AT & Black M (2013) Improving estimates of asset condition using historical data. Journal of the Operational Research Society, 1-10.
Brint A (2012) Modelling a property's time to sale by inflating its previous selling price. Journal of the Operational Research Society, 63(6), 762-770.
Brint AT, Bridgeman J & Black M (2009) The rise, current position and future direction of asset management in utility industries.. J. Oper. Res. Soc., 60.
Brint AT (2009) Predicting a house's selling price through inflating its previous selling price.. J. Oper. Res. Soc., 60, 339-347.
Brint AT (2009) Bootstrapping to choose an estimator after sampling on two occasions. IMA J MANAG MATH, 20(1), 81-94.
Brint A, Bridgeman J & Black M (2008) The rise, current position and future direction of asset management. 50th Annual Conference of the Operational Research Society 2008, OR50, 133-147.
Brint AT & Black M (2007) A method for generating condition histories for infrastructure items. IMA Journal of Management Mathematics, 18(1), 3-15.
Brint AT (2006) Sampling on successive occasions to re-estimate future asset management expenditure. EUR J OPER RES, 175(2), 1210-1223.
Black M, Brint AT & Brailsford JR (2005) A semi-Markov approach for modelling asset deterioration. J OPER RES SOC, 56(11), 1241-1249.
Black M, Brint AT & Brailsford JR (2005) Comparing probabilistic methods for the asset management of distributed items. Journal of Infrastructure Systems, 11(2), 102-109.
Brint AT (2003) Investigating buyer and seller strategies in online auctions. J OPER RES SOC, 54(11), 1177-1188.
Black M, Brint AT, Brailsford JR & Davidson G (2001) Managing assets using infrequent inspections. IEE Conference Publication, 3(482).
Brint AT (2000) Sequential Inspection Sampling to Avoid Failure Critical Items Being in an at Risk Condition. The Journal of the Operational Research Society, 51(9), 1051-1051.
Brint AT (2000) Sequential inspection sampling to avoid failure critical items being in an at risk condition. J OPER RES SOC, 51(9), 1051-1059.
Hoskins RP, Strbac G & Brint AT (1999) Modelling the degradation of condition indices. IEE P-GENER TRANSM D, 146(4), 386-392.
Hoskins RP, Brint AT & Strbac G (1999) A structured approach to Asset Management within the electricity industry. Utilities Policy, 7(4), 221-232.
Brint AT, Hodgkins WR, Rigler DM & Smith SA (1998) Evaluating strategies for reliable distribution. IEEE COMPUT APPL POW, 11(3), 43-47.
Hoskins RP, Brint AT & Strbac G (1997) Use of condition information and the physical processes of failure as an aid to asset management. Proceedings of the Universities Power Engineering Conference, 2, 783-786.
Brint AT, Hodgkins WR, Rigler DM, Roberts GV & Smith SA (1997) eaNSF: A simulation tool for evaluating strategies. IEE Conference Publication(438 pt 1/6).
Brint AT, Brailsford JR & Cockburn DA (1996) Intelligent systems for power distribution networks. POWER ENG J, 10(2), 81-86.
Cross AD, Brailsford JR & Brint AT (1993) Expert systems to support network switching. IEE Conference Publication(373 pt 4).
BRINT AT & BRADY M (1990) STEREO MATCHING OF CURVES. IMAGE VISION COMPUT, 8(1), 50-56.
BRINT AT (1989) CORRECTION. J MOL GRAPHICS, 7(4), 246-246.
BRINT AT, DAVIES HM, MITCHELL EM & WILLETT P (1989) RAPID GEOMETRIC SEARCHING IN PROTEIN STRUCTURES. J MOL GRAPHICS, 7(1), 48-53.
Brint AT & Willett P (1989) Upperbound procedures for the identification of similar three-dimensional chemical structures.. J Comput Aided Mol Des, 2(4), 311-320.
BRINT AT, GILLET VJ, LYNCH MF, WILLETT P, MANSON GA & WILSON GA (1988) CHEMICAL GRAPH MATCHING USING TRANSPUTER NETWORKS. PARALLEL COMPUT, 8(1-3), 295-300.
BRINT AT & WILLETT P (1987) IDENTIFYING 3D MAXIMAL COMMON SUBSTRUCTURES USING TRANSPUTER NETWORKS. J MOL GRAPHICS, 5(4), 200-207.
BRINT AT & WILLETT P (1987) ALGORITHMS FOR THE IDENTIFICATION OF 3-DIMENSIONAL MAXIMAL COMMON SUBSTRUCTURES. J CHEM INF COMP SCI, 27(4), 152-158.
BRINT AT & WILLETT P (1987) PHARMACOPHORIC PATTERN-MATCHING IN FILES OF 3D CHEMICAL STRUCTURES - COMPARISON OF GEOMETRIC SEARCHING ALGORITHMS. J MOL GRAPHICS, 5(1), 49-56.

Chapters

Brint AT, Mitchell E & Willett P (1988) Substructure Searching in Files of Three-Dimensional Chemical Structures, Chemical Structures (pp. 131-144). Springer Berlin Heidelberg

Conference proceedings papers

Brint AT, Poursharif G, Black M & Marshall M (2017) Analyzing the ability of Smart Meter Data to Provide Accurate Information to the UK DNOs. CIRED - Open Access Proceedings Journal (pp 2078-2081), 12 June 2017 - 15 June 2017. View this article in WRRO
Poursharif G, Brint A, Holliday J, Black M & Marshall M (2015) Geospatial visualization of Smart data for improved network management. 2015 IEEE Eindhoven PowerTech, 29 June 2015 - 2 July 2015.
Scarf PA & Brint AT (1999) A prototype model for asset management of a network structured system. SAFETY AND RELIABILITY, VOLS 1 & 2 (pp 271-276)
BRINT AT, CROSS AD & ELLIOTT SN (1993) KEY TECHNOLOGIES FOR DISTRIBUTION NETWORK MANAGEMENT. NEW ELECTRICITY 21: POWER INDUSTRY TECHNOLOGY AND MANAGEMENT STRATEGIES FOR THE TWENTY-FIRST CENTURY (pp 683-688)
Brint AT & Brady M (1989) Stereo Matching of Curves. Procedings of the Alvey Vision Conference 1989
Brint AT & Brady M (1989) Stereo Matching of Curves.. Alvey Vision Conference (pp 1-6)
Brint AT & Brady M () Stereo Matching Of Curves By Least Deformation. Proceedings. IEEE/RSJ International Workshop on Intelligent Robots and Systems '. (IROS '89) 'The Autonomous Mobile Robots and Its Applications

Website content

Brint AT Home Page.

Teaching interests

MGT137 and MGT138 Analysis for Decision Making:

These modules introduce a range of quantitative techniques and tools which can be used to produce useful management information within a business context, for example project evaluation using Net Present Value and Internal Rate of Return. The ability to apply this knowledge and communicate the results of their analyses in a range of business situations is taught.

MGT6046 Operations and Supply Chain Management:

This module provides knowledge of the basic concepts and techniques of Operations Management, along with an outline of some of the key concepts and techniques of Operational Research.