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Mukesh Kumar

Personal Details

First Name:Mukesh
Middle Name:
Last Name:Kumar
Suffix:
RePEc Short-ID:pku139
https://www.researchgate.net/profile/Prof_Dr_Mukesh_Kumar
+6017-6495037

Affiliation

Escuela de Postgrado de Negocios (CENTRUM)
Pontificia Universidad Católica del Perú

Lima, Peru
http://www.centrum.pucp.edu.pe/

: 51 1 3133400
51 1 3131700
Calle 9, Urb. Los Alamos, Monterrico-Surco, Lima
RePEc:edi:cepucpe (more details at EDIRC)

Research output

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Jump to: Articles

Articles

  1. Charles, Vincent & Kumar, Mukesh & Irene Kavitha, S., 2012. "Measuring the efficiency of assembled printed circuit boards with undesirable outputs using data envelopment analysis," International Journal of Production Economics, Elsevier, vol. 136(1), pages 194-206.
  2. Udhayakumar, A. & Charles, V. & Kumar, Mukesh, 2011. "Stochastic simulation based genetic algorithm for chance constrained data envelopment analysis problems," Omega, Elsevier, vol. 39(4), pages 387-397, August.
  3. Mukesh Kumar & Charles Vincent, 2010. "Benchmarking Indian banks using DEA in post-reform period: a progressive time-weighted mean approach," The Service Industries Journal, Taylor & Francis Journals, vol. 31(14), pages 2455-2485, June.
  4. Mukesh Kumar & Trupti Mishra, 2002. "Sources of Technical Efficiency in Indian Small-Scale Industry: Frontier Production Function Techniques," The IUP Journal of Applied Economics, IUP Publications, vol. 0(1), pages 88-98, November.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Charles, Vincent & Kumar, Mukesh & Irene Kavitha, S., 2012. "Measuring the efficiency of assembled printed circuit boards with undesirable outputs using data envelopment analysis," International Journal of Production Economics, Elsevier, vol. 136(1), pages 194-206.

    Cited by:

    1. Holden, R. & Xu, B. & Greening, P. & Piecyk, M. & Dadhich, P., 2016. "Towards a common measure of greenhouse gas related logistics activity using data envelopment analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 105-119.
    2. Béchir Ben Lahouel, 2016. "Eco-efficiency analysis of French firms: a data envelopment analysis approach," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 18(3), pages 395-416, July.
    3. Chia-Nan Wang & Han-Khanh Nguyen, 2017. "Enhancing Urban Development Quality Based on the Results of Appraising Efficient Performance of Investors—A Case Study in Vietnam," Sustainability, MDPI, Open Access Journal, vol. 9(8), pages 1-22, August.
    4. Pérez, Karen & González-Araya, Marcela C. & Iriarte, Alfredo, 2017. "Energy and GHG emission efficiency in the Chilean manufacturing industry: Sectoral and regional analysis by DEA and Malmquist indexes," Energy Economics, Elsevier, vol. 66(C), pages 290-302.
    5. Congcong Yang & Alfred Taudes & Guozhi Dong, 2017. "Efficiency analysis of European Freight Villages: three peers for benchmarking," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(1), pages 91-122, March.

  2. Udhayakumar, A. & Charles, V. & Kumar, Mukesh, 2011. "Stochastic simulation based genetic algorithm for chance constrained data envelopment analysis problems," Omega, Elsevier, vol. 39(4), pages 387-397, August.

    Cited by:

    1. Wang, S. & Huang, G.H., 2014. "An integrated approach for water resources decision making under interactive and compound uncertainties," Omega, Elsevier, vol. 44(C), pages 32-40.
    2. Chen, Zhongfei & Matousek, Roman & Wanke, Peter, 2018. "Chinese bank efficiency during the global financial crisis: A combined approach using satisficing DEA and Support Vector Machines☆," The North American Journal of Economics and Finance, Elsevier, vol. 43(C), pages 71-86.
    3. Zhao, Ze & Wang, Jianzhou & Zhao, Jing & Su, Zhongyue, 2012. "Using a Grey model optimized by Differential Evolution algorithm to forecast the per capita annual net income of rural households in China," Omega, Elsevier, vol. 40(5), pages 525-532.
    4. Ballings, Michel & Van den Poel, Dirk & Bogaert, Matthias, 2016. "Social media optimization: Identifying an optimal strategy for increasing network size on Facebook," Omega, Elsevier, vol. 59(PA), pages 15-25.
    5. Wanke, Peter & Barros, C.P., 2017. "Efficiency thresholds and cost structure in Senegal airports," Journal of Air Transport Management, Elsevier, vol. 58(C), pages 100-112.
    6. Lin, Yi-Kuei & Yeh, Cheng-Ta, 2012. "Determining the optimal double-component assignment for a stochastic computer network," Omega, Elsevier, vol. 40(1), pages 120-130, January.
    7. Wei, Guiwu & Chen, Jian & Wang, Jiamin, 2014. "Stochastic efficiency analysis with a reliability consideration," Omega, Elsevier, vol. 48(C), pages 1-9.

  3. Mukesh Kumar & Charles Vincent, 2010. "Benchmarking Indian banks using DEA in post-reform period: a progressive time-weighted mean approach," The Service Industries Journal, Taylor & Francis Journals, vol. 31(14), pages 2455-2485, June.

    Cited by:

    1. Chia-Jung Tu & Ming-Chung Chang & Chiang-Ping Chen, 2016. "Progressive Time-Weighted Dynamic Energy Efficiency, Energy Decoupling Rate, and Decarbonization: An Empirical Study on G7 and BRICS," Sustainability, MDPI, Open Access Journal, vol. 8(9), pages 1-17, September.
    2. Muhammad Imran Qureshi & Adeela Rustam & Sehrish Rustam & Abdullah Bin Umar & Khalid Zaman, 2012. "Measuring Bank Branch Performance in Pakistan: Data Envelopment Analysis (DEA)," Oeconomics of Knowledge, Saphira Publishing House, vol. 4(4), pages 25-40, October.
    3. Udhayakumar, A. & Charles, V. & Kumar, Mukesh, 2011. "Stochastic simulation based genetic algorithm for chance constrained data envelopment analysis problems," Omega, Elsevier, vol. 39(4), pages 387-397, August.
    4. Kashif Rashid & Adeela Rustam, 2014. "Comparative Analysis of Local and Foreign Banks Efficiency: A Case Study of Pakistan," Oeconomics of Knowledge, Saphira Publishing House, vol. 6(3), pages 7-52, August.

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