Prof. Vikas Kumar
Prof. Vikas Kumar
Professor of Operations and Supply Chain Management, University of the West of England, UK
Verified email at uwe.ac.uk - Homepage
Title
Cited by
Cited by
Year
State of the art literature review on performance measurement
SS Nudurupati, US Bititci, V Kumar, FTS Chan
Computers & Industrial Engineering, 2010
5972010
The impact of lean methods and tools on the operational performance of manufacturing organisations
I Belekoukias, JA Garza-Reyes, V Kumar
International Journal of Production Research 52 (18), 5346-5366, 2014
3472014
Green supply chain performance measurement using fuzzy ANP-based balanced scorecard: a collaborative decision-making approach
A Bhattacharya, P Mohapatra, V Kumar, PK Dey, M Brady, MK Tiwari, ...
Production Planning & Control 25 (8), 698-714, 2014
2072014
Alternative perspectives on service quality and customer satisfaction: the role of BPM
V Kumar, PA Smart, H Maddern, RS Maull
International Journal of Service Industry Management 19 (2), 176-187, 2008
1592008
The Impact of Operations Performance on Customer Loyalty
V Kumar, L Batista, R Maull
Service Science 3 (2), 158-171, 2011
1182011
A Six Sigma and DMAIC application for the reduction of defects in a rubber gloves manufacturing process
P Jirasukprasert, JA Garza-Reyes, V Kumar, MK Lim
International Journal of Lean Six Sigma 5 (1), 2-21, 2014
1032014
Optimizing the performance of an integrated process planning and scheduling problem: an AIS-FLC based approach
FTS Chan, V Kumar, MK Tiwari
Cybernetics and Intelligent Systems, 2006 IEEE Conference on, 1-8, 2006
103*2006
Systematic review of bankruptcy prediction models: Towards a framework for tool selection
HA Alaka, LO Oyedele, HA Owolabi, V Kumar, SO Ajayi, OO Akinade, ...
Expert Systems with Applications 94, 164-184, 2018
1022018
Investigating the green impact of lean, six sigma and lean six sigma
N Chugani, V Kumar, JA Garza-Reyes, L Rocha-Lona, A Upadhyay
International Journal of Lean Six Sigma, 2017
1022017
A multi-agent architecture for reverse logistics in a green supply chain
N Mishra, V Kumar, FTS Chan
Taylor & Francis Group, 2011
982011
The relevance of outsourcing and leagile strategies in performance optimization of an integrated process planning and scheduling model
FTS Chan, V Kumar, MK Tiwari
International Journal of Production Research 47 (1), 119-142, 2009
842009
Lean and green in the transport and logistics sector–a case study of simultaneous deployment
JA Garza-Reyes, B Villarreal, V Kumar, P Molina Ruiz
Production Planning & Control 27 (15), 1221-1232, 2016
792016
Exploring the rise of blockchain technology: Towards distributed collaborative organizations
B Scott, J Loonam, V Kumar
Strategic Change 26 (5), 423-428, 2017
742017
An analysis of managerial factors affecting the implementation and use of overall equipment effectiveness
NA Binti Aminuddin, JA Garza-Reyes, V Kumar, J Antony, L Rocha-Lona
International Journal of Production Research, 2015
682015
Auction-based approach to resolve the scheduling problem in the steel making process
V Kumar, S Kumar, MK Tiwari, FTS Chan
International journal of production research 44 (8), 1503-1522, 2006
682006
Optimizing replenishment polices using Genetic Algorithm for single-warehouse multi-retailer system
W Yang, FTS Chan, V Kumar
Expert Systems with Applications, 2011
672011
Performance optimization of a leagility inspired supply chain model: a CFGTSA algorithm based approach
FTS Chan, V Kumar
International Journal of Production Research 47 (3), 777-799, 2009
662009
Towards digital transformation: Lessons learned from traditional organizations
J Loonam, S Eaves, V Kumar, G Parry
Strategic Change 27 (2), 101-109, 2018
632018
The effect of lean methods and tools on the environmental performance of manufacturing organisations
JA Garza-Reyes, V Kumar, S Chaikittisilp, KH Tan
International Journal of Production Economics 200, 170-180, 2018
622018
Towards a more circular economy: exploring the awareness, practices, and barriers from a focal firm perspective
D Masi, V Kumar, JA Garza-Reyes, J Godsell
Production Planning & Control 29 (6), 539-550, 2018
552018
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Articles 1–20