Prof. Vikas Kumar
Prof. Vikas Kumar
Director of Research and Professor of Operations and Supply Chain Management, University of the West
Zweryfikowany adres z uwe.ac.uk - Strona główna
Cytowane przez
Cytowane przez
State of the art literature review on performance measurement
SS Nudurupati, US Bititci, V Kumar, FTS Chan
Computers & Industrial Engineering, 2010
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
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
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
A systematic literature review on machine learning applications for sustainable agriculture supply chain performance
R Sharma, SS Kamble, A Gunasekaran, V Kumar, A Kumar
Computers & Operations Research 119, 104926, 2020
Towards digital transformation: Lessons learned from traditional organizations
J Loonam, S Eaves, V Kumar, G Parry
Strategic Change 27 (2), 101-109, 2018
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
Investigating the green impact of Lean, Six Sigma and Lean Six Sigma: A systematic literature review
N Chugani, V Kumar, JA Garza-Reyes, L Rocha-Lona, A Upadhyay
International Journal of Lean Six Sigma, 2017
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, 2014
Supply Chain 4.0: concepts, maturity and research agenda
GF Frederico, JA Garza-Reyes, A Anosike, V Kumar
Supply Chain Management: An International Journal, 2019
Lean, green practices and process innovation: A model for green supply chain performance
A Cherrafi, JA Garza-Reyes, V Kumar, N Mishra, A Ghobadian, S Elfezazi
International Journal of Production Economics 206, 79-92, 2018
The Impact of Operations Performance on Customer Loyalty
V Kumar, L Batista, R Maull
Service Science 3 (2), 158-171, 2011
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
Blockchain technology and the circular economy: Implications for sustainability and social responsibility
A Upadhyay, S Mukhuty, V Kumar, Y Kazancoglu
Journal of Cleaner Production 293, 126130, 2021
Circular economy in the manufacturing sector: benefits, opportunities and barriers
V Kumar, I Sezersan, JA Garza-Reyes, EDRS Gonzalez, ...
Management Decision, 2019
A framework to achieve sustainability in manufacturing organisations of developing economies using industry 4.0 technologies’ enablers
G Yadav, A Kumar, S Luthra, JA Garza-Reyes, V Kumar, L Batista
Computers in industry 122, 103280, 2020
Managing supply chains for sustainable operations in the era of industry 4.0 and circular economy: Analysis of barriers
P Kumar, RK Singh, V Kumar
Resources, Conservation and Recycling 164, 105215, 2021
Examining legitimatisation of additive manufacturing in the interplay between innovation, lean manufacturing and sustainability
A Ghobadian, I Talavera, A Bhattacharya, V Kumar, JA Garza-Reyes, ...
International Journal of Production Economics 219, 457-468, 2020
Exploring the rise of blockchain technology: Towards distributed collaborative organizations
B Scott, J Loonam, V Kumar
Strategic Change 26 (5), 423-428, 2017
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
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Prace 1–20