IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v136y2012i1p194-206.html
   My bibliography  Save this article

Measuring the efficiency of assembled printed circuit boards with undesirable outputs using data envelopment analysis

Author

Listed:
  • Charles, Vincent
  • Kumar, Mukesh
  • Irene Kavitha, S.

Abstract

The printed circuit board (PCB) assembling production process is generally optimized to ensure very low levels of errors (defects) so as to produce the higher quality product. The evaluation of efficiency of different types of PCB (cards) could help the management in identifying the quality of assembly process to work out appropriate interventions to prevent failures. This study uses the technique of data envelopment analysis to assess the efficiency of cards across all assembly units as well as within its respective assembly unit in the presence of undesirable outputs under the assumption of weak disposability. In our case, the three types of errors, viz., machine error, manual errors and other errors that occur in the defective assembled PCBs are considered as the undesirable outputs. In-depth analysis has been carried out through jackknifing analysis to check the robustness of DEA efficiency scores. The best practice group of cards for each inefficient card has been identified which eventually facilitate the management to derive the level of undesirable outputs to be reduced and desirable output to be improved so as to achieve the level of efficiency at par with its practice group.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:proeco:v:136:y:2012:i:1:p:194-206
    DOI: 10.1016/j.ijpe.2011.11.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527311004725
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Homburg, Carsten, 2001. "Using data envelopment analysis to benchmark activities," International Journal of Production Economics, Elsevier, vol. 73(1), pages 51-58, August.
    2. Timo Kuosmanen, 2005. "Weak Disposability in Nonparametric Production Analysis with Undesirable Outputs," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(4), pages 1077-1082.
    3. Golany, B & Roll, Y, 1989. "An application procedure for DEA," Omega, Elsevier, vol. 17(3), pages 237-250.
    4. Isabelle Piot-Lepetit & Dominique Vermersch & Robert Weaver, 1997. "Agriculture's environmental externalities: DEA evidence for French agriculture," Applied Economics, Taylor & Francis Journals, vol. 29(3), pages 331-338.
    5. Fare, Rolf & Grosskopf, Shawna & Noh, Dong-Woon & Weber, William, 2005. "Characteristics of a polluting technology: theory and practice," Journal of Econometrics, Elsevier, vol. 126(2), pages 469-492, June.
    6. Fare, R. & Grosskopf, S. & Hernandez-Sancho, F., 2004. "Environmental performance: an index number approach," Resource and Energy Economics, Elsevier, vol. 26(4), pages 343-352, December.
    7. Raymond L. Raab & Richard W. Lichty, 2002. "Identifying Subareas That Comprise A Greater Metropolitan Area: The Criterion of County Relative Efficiency," Journal of Regional Science, Wiley Blackwell, vol. 42(3), pages 579-594.
    8. Kumar Mandal, Sabuj & Madheswaran, S., 2010. "Environmental efficiency of the Indian cement industry: An interstate analysis," Energy Policy, Elsevier, vol. 38(2), pages 1108-1118, February.
    9. Kneese, Allen V, 1971. "Environmental Pollution: Economics and Policy," American Economic Review, American Economic Association, vol. 61(2), pages 153-166, May.
    10. Dengiz, Berna & Akbay, Kunter S., 2000. "Computer simulation of a PCB production line: metamodeling approach," International Journal of Production Economics, Elsevier, vol. 63(2), pages 195-205, January.
    11. Coggins, Jay S. & Swinton, John R., 1996. "The Price of Pollution: A Dual Approach to Valuing SO2Allowances," Journal of Environmental Economics and Management, Elsevier, vol. 30(1), pages 58-72, January.
    12. S Reinhard & G Thijssen, 2000. "Nitrogen efficiency of Dutch dairy farms: a shadow cost system approach," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 27(2), pages 167-186, June.
    13. Reinhard, Stijn & Knox Lovell, C. A. & Thijssen, Geert J., 2000. "Environmental efficiency with multiple environmentally detrimental variables; estimated with SFA and DEA," European Journal of Operational Research, Elsevier, vol. 121(2), pages 287-303, March.
    14. Runar Brännlund & Rolf Färe & Shawna Grosskopf, 1995. "Environmental regulation and profitability: An application to Swedish pulp and paper mills," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 6(1), pages 23-36, July.
    15. Rolf Färe & Shawna Grosskopf & Carl A Pasurka, Jr., 2001. "Accounting for Air Pollution Emissions in Measures of State Manufacturing Productivity Growth," Journal of Regional Science, Wiley Blackwell, vol. 41(3), pages 381-409.
    16. Yu, Ming-Miin, 2004. "Measuring physical efficiency of domestic airports in Taiwan with undesirable outputs and environmental factors," Journal of Air Transport Management, Elsevier, vol. 10(5), pages 295-303.
    17. Yajie Liu & U. Rashid Sumaila, 2010. "Estimating Pollution Abatement Costs of Salmon Aquaculture: A Joint Production Approach," Land Economics, University of Wisconsin Press, vol. 86(3).
    18. Picazo-Tadeo, Andres J. & Reig-Martinez, Ernest & Hernandez-Sancho, Francesc, 2005. "Directional distance functions and environmental regulation," Resource and Energy Economics, Elsevier, vol. 27(2), pages 131-142, June.
    19. Hua, Zhongsheng & Bian, Yiwen & Liang, Liang, 2007. "Eco-efficiency analysis of paper mills along the Huai River: An extended DEA approach," Omega, Elsevier, vol. 35(5), pages 578-587, October.
    20. Bonesronning, Hans & Rattso, Jorn, 1994. "Efficiency variation among the Norwegian High Schools: Consequences of equalization policy," Economics of Education Review, Elsevier, vol. 13(4), pages 289-304.
    21. Fare, Rolf & Grosskopf, Shawna & Tyteca, Daniel, 1996. "An activity analysis model of the environmental performance of firms--application to fossil-fuel-fired electric utilities," Ecological Economics, Elsevier, vol. 18(2), pages 161-175, August.
    22. Atakelty Hailu, 2003. "Nonparametric Productivity Analysis with Undesirable Outputs: Reply," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 1075-1077.
    23. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, Elsevier, vol. 189(1), pages 1-18, August.
    24. W. Liu & W. Meng & X. Li & D. Zhang, 2010. "DEA models with undesirable inputs and outputs," Annals of Operations Research, Springer, vol. 173(1), pages 177-194, January.
    25. Fare, Rolf & Grosskopf, Shawna, 2004. "Modeling undesirable factors in efficiency evaluation: Comment," European Journal of Operational Research, Elsevier, vol. 157(1), pages 242-245, August.
    26. Altinkemer, Kemal & Kazaz, Burak & Koksalan, Murat & Moskowitz, Herbert, 2000. "Optimization of printed circuit board manufacturing: Integrated modeling and algorithms," European Journal of Operational Research, Elsevier, vol. 124(2), pages 409-421, July.
    27. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "Data envelopment analysis for environmental assessment: Comparison between public and private ownership in petroleum industry," European Journal of Operational Research, Elsevier, vol. 216(3), pages 668-678.
    28. Timo Kuosmanen & Victor Podinovski, 2008. "Weak Disposability in Nonparametric Production Analysis: Reply to Färe and Grosskopf," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(2), pages 539-545.
    29. Ethridge, Don, 1973. "The Inclusion of Wastes in the Theory of the Firm," Journal of Political Economy, University of Chicago Press, vol. 81(6), pages 1430-1441, Nov.-Dec..
    30. Fare, Rolf, et al, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
    31. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    32. Ayres, Robert U & Kneese, Allen V, 1969. "Production , Consumption, and Externalities," American Economic Review, American Economic Association, vol. 59(3), pages 282-297, June.
    33. Seiford, Lawrence M. & Zhu, Joe, 2002. "Modeling undesirable factors in efficiency evaluation," European Journal of Operational Research, Elsevier, vol. 142(1), pages 16-20, October.
    34. Barros, Carlos Pestana & Managi, Shunsuke & Matousek, Roman, 2012. "The technical efficiency of the Japanese banks: Non-radial directional performance measurement with undesirable output," Omega, Elsevier, vol. 40(1), pages 1-8, January.
    35. Pittman, Russell W, 1983. "Multilateral Productivity Comparisons with Undesirable Outputs," Economic Journal, Royal Economic Society, vol. 93(372), pages 883-891, December.
    36. Korhonen, Pekka J. & Luptacik, Mikulas, 2004. "Eco-efficiency analysis of power plants: An extension of data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 154(2), pages 437-446, April.
    37. Francesc Hernandez-Sancho & Andres Picazo-Tadeo & Ernest Reig-Martinez, 2000. "Efficiency and Environmental Regulation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 15(4), pages 365-378, April.
    38. Shaik, Saleem & Helmers, Glenn A. & Langemeier, Michael R., 2002. "Direct And Indirect Shadow Price And Cost Estimates Of Nitrogen Pollution Abatement," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 0(Number 2), pages 1-13, December.
    39. V. Eldon Ball & Rolf Fare & Shawna Grosskopf & Richard Nehring, 2001. "Productivity of the U.S. Agricultural Sector: The Case of Undesirable Outputs," NBER Chapters,in: New Developments in Productivity Analysis, pages 541-586 National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. repec:gam:jsusta:v:9:y:2017:i:8:p:1397-:d:107555 is not listed on IDEAS
    4. repec:eee:eneeco:v:66:y:2017:i:c:p:290-302 is not listed on IDEAS
    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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:proeco:v:136:y:2012:i:1:p:194-206. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.