IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v166y2015icp119-128.html
   My bibliography  Save this article

Developing a plant system prediction model for technology transfer

Author

Listed:
  • Yamane, Yasuo
  • Takahashi, Katsuhiko
  • Hamada, Kunihiro
  • Morikawa, Katsumi
  • Nur Bahagia, Senator
  • Diawati, Lucia
  • Cakravastia, Andi

Abstract

Technology transfer (TT) is the process of transferring skills, knowledge, technologies, methods of manufacturing, and facilities. Successful TT demands an integrated approach in order to plan, implement, evaluate and improve the transfer process comprehensively. For quantifying the technology level, various models have been developed and applied, however the total performance of a plant has not been quantified by the model. It is necessary to develop a mechanism of integrating the quantified technology level of each process into the total performance of the plant. This paper develops a plant system prediction model. In the model, a V-process model is utilized for defining the whole procedure for analyzing the plant system, and the technology level quantification model developed by Yamane, Y., Takahashi, K., Hamada, K., Morikawa, K., Nur Bahagia, S., Diawati, L., Cakravastia, A., 2011. Quantifying the technology level of production system for technology transfer. Ind. Eng. Manag. Syst., 10(2), 97–103 is utilized for quantifying the technology level of each process. Also, to integrate the quantified technology level into that of the plant system, some functions are formulated. A case study in a manufacturing industry shows the effectiveness of the developed model.

Suggested Citation

  • Yamane, Yasuo & Takahashi, Katsuhiko & Hamada, Kunihiro & Morikawa, Katsumi & Nur Bahagia, Senator & Diawati, Lucia & Cakravastia, Andi, 2015. "Developing a plant system prediction model for technology transfer," International Journal of Production Economics, Elsevier, vol. 166(C), pages 119-128.
    • Handle: RePEc:eee:proeco:v:166:y:2015:i:c:p:119-128
    DOI: 10.1016/j.ijpe.2015.05.014
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527315001668
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijpe.2015.05.014?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Oral, Muhittin & Cinar, Unver & Chabchoub, Habib, 1999. "Linking industrial competitiveness and productivity at the firm level," European Journal of Operational Research, Elsevier, vol. 118(2), pages 271-277, October.
    2. Armbruster, Dieter & Gel, Esma S. & Murakami, Junko, 2007. "Bucket brigades with worker learning," European Journal of Operational Research, Elsevier, vol. 176(1), pages 264-274, January.
    3. Tarakci, Hakan & Tang, Kwei & Teyarachakul, Sunantha, 2009. "Learning effects on maintenance outsourcing," European Journal of Operational Research, Elsevier, vol. 192(1), pages 138-150, January.
    4. Glock, C. H. & Jaber, M. Y. & Zolfaghari, S., 2012. "Production planning for a ramp-up process with learning in production and growth in demand," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 57818, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    5. Jaber, Mohamad Y. & Guiffrida, Alfred L., 2008. "Learning curves for imperfect production processes with reworks and process restoration interruptions," European Journal of Operational Research, Elsevier, vol. 189(1), pages 93-104, August.
    6. Gunasekaran, A. & Korukonda, A. R. & Virtanen, I. & Yli-Olli, P., 1994. "Improving productivity and quality in manufacturing organizations," International Journal of Production Economics, Elsevier, vol. 36(2), pages 169-183, September.
    7. Anderson, Edward G., 2001. "Managing the impact of high market growth and learning on knowledge worker productivity and service quality," European Journal of Operational Research, Elsevier, vol. 134(3), pages 508-524, November.
    8. Plaza, Malgorzata & Ngwenyama, Ojelanki K. & Rohlf, Katrin, 2010. "A comparative analysis of learning curves: Implications for new technology implementation management," European Journal of Operational Research, Elsevier, vol. 200(2), pages 518-528, January.
    9. Jaber, M.Y. & Bonney, M. & Moualek, I., 2009. "Lot sizing with learning, forgetting and entropy cost," International Journal of Production Economics, Elsevier, vol. 118(1), pages 19-25, March.
    10. Bivin, David G., 2003. "Firm performance under just-in-time and traditional proxies for profit maximization," International Journal of Production Economics, Elsevier, vol. 81(1), pages 141-152, January.
    11. Jaber, M. Y. & Kher, H. V., 2002. "The dual-phase learning-forgetting model," International Journal of Production Economics, Elsevier, vol. 76(3), pages 229-242, April.
    12. Genius, Margarita & Stefanou, Spiro E. & Tzouvelekas, Vangelis, 2012. "Measuring productivity growth under factor non-substitution: An application to US steam-electric power generation utilities," European Journal of Operational Research, Elsevier, vol. 220(3), pages 844-852.
    13. Zelenyuk, Valentin, 2006. "Aggregation of Malmquist productivity indexes," European Journal of Operational Research, Elsevier, vol. 174(2), pages 1076-1086, October.
    14. Michael A. Lapré & Amit Shankar Mukherjee & Luk N. Van Wassenhove, 2000. "Behind the Learning Curve: Linking Learning Activities to Waste Reduction," Management Science, INFORMS, vol. 46(5), pages 597-611, May.
    15. Andrade, M. C. & Pessanha Filho, R. C. & Espozel, A. M. & Maia, L. O. A. & Qassim, R. Y., 1999. "Activity-based costing for production learning," International Journal of Production Economics, Elsevier, vol. 62(3), pages 175-180, September.
    16. Jaber, Mohamad Y. & Sikstrom, Sverker, 2004. "A numerical comparison of three potential learning and forgetting models," International Journal of Production Economics, Elsevier, vol. 92(3), pages 281-294, December.
    17. Hannula, Mika, 2002. "Total productivity measurement based on partial productivity ratios," International Journal of Production Economics, Elsevier, vol. 78(1), pages 57-67, July.
    18. Demeester, Lieven L. & Qi, Mei, 2005. "Managing learning resources for consecutive product generations," International Journal of Production Economics, Elsevier, vol. 95(2), pages 265-283, February.
    19. Jaber, Mohamad Y. & Bonney, Maurice & Guiffrida, Alfred L., 2010. "Coordinating a three-level supply chain with learning-based continuous improvement," International Journal of Production Economics, Elsevier, vol. 127(1), pages 27-38, September.
    20. Jaber, Mohamad Y. & Bonney, Maurice, 2003. "Lot sizing with learning and forgetting in set-ups and in product quality," International Journal of Production Economics, Elsevier, vol. 83(1), pages 95-111, January.
    21. Terwiesch, Christian & E. Bohn, Roger, 2001. "Learning and process improvement during production ramp-up," International Journal of Production Economics, Elsevier, vol. 70(1), pages 1-19, March.
    22. Gavronski, Iuri & Klassen, Robert D. & Vachon, Stephan & Nascimento, Luis Felipe Machado do, 2012. "A learning and knowledge approach to sustainable operations," International Journal of Production Economics, Elsevier, vol. 140(1), pages 183-192.
    23. Li, Georgi & Rajagopalan, S., 1998. "A learning curve model with knowledge depreciation," European Journal of Operational Research, Elsevier, vol. 105(1), pages 143-154, February.
    24. Vigil, Dimas P. & Sarper, Huseyin, 1994. "Estimating the effects of parameter variability on learning curve model predictions," International Journal of Production Economics, Elsevier, vol. 34(2), pages 187-200, March.
    25. Michael A. Lapré & Luk N. Van Wassenhove, 2001. "Creating and Transferring Knowledge for Productivity Improvement in Factories," Management Science, INFORMS, vol. 47(10), pages 1311-1325, October.
    26. Hsu, Chaug-Ing & Li, Hui-Chieh, 2009. "An integrated plant capacity and production planning model for high-tech manufacturing firms with economies of scale," International Journal of Production Economics, Elsevier, vol. 118(2), pages 486-500, April.
    27. Jaber, Mohamad Y. & Guiffrida, Alfred L., 2004. "Learning curves for processes generating defects requiring reworks," European Journal of Operational Research, Elsevier, vol. 159(3), pages 663-672, December.
    28. Plaza, Malgorzata & Rohlf, Katrin, 2008. "Learning and performance in ERP implementation projects: A learning-curve model for analyzing and managing consulting costs," International Journal of Production Economics, Elsevier, vol. 115(1), pages 72-85, September.
    29. Jaber, Mohamad Y. & Khan, Mehmood, 2010. "Managing yield by lot splitting in a serial production line with learning, rework and scrap," International Journal of Production Economics, Elsevier, vol. 124(1), pages 32-39, March.
    30. Pinheiro de Lima, Edson & Gouvea da Costa, Sergio E. & Angelis, Jannis Jan & Munik, Juliano, 2013. "Performance measurement systems: A consensual analysis of their roles," International Journal of Production Economics, Elsevier, vol. 146(2), pages 524-542.
    31. Ngwenyama, Ojelanki & Guergachi, Aziz & McLaren, Tim, 2007. "Using the learning curve to maximize IT productivity: A decision analysis model for timing software upgrades," International Journal of Production Economics, Elsevier, vol. 105(2), pages 524-535, February.
    32. Mefford, Robert N. & Bruun, Peter, 1998. "Transferring world class production to developing countries: A strategic model," International Journal of Production Economics, Elsevier, vol. 56(1), pages 433-450, September.
    33. Amit Shankar Mukherjee & Michael A. Lapré & Luk N. Van Wassenhove, 1998. "Knowledge Driven Quality Improvement," Management Science, INFORMS, vol. 44(11-Part-2), pages 35-49, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nadeau, Marie-Claude & Kar, Ashish & Roth, Richard & Kirchain, Randolph, 2010. "A dynamic process-based cost modeling approach to understand learning effects in manufacturing," International Journal of Production Economics, Elsevier, vol. 128(1), pages 223-234, November.
    2. M. Jaber & Z. Givi, 2015. "Imperfect production process with learning and forgetting effects," Computational Management Science, Springer, vol. 12(1), pages 129-152, January.
    3. Morgan, Horatio M. & Ngwenyama, Ojelanki, 2015. "Real options, learning cost and timing software upgrades: Towards an integrative model for enterprise software upgrade decision analysis," International Journal of Production Economics, Elsevier, vol. 168(C), pages 211-223.
    4. Jaber, Mohamad Y. & Khan, Mehmood, 2010. "Managing yield by lot splitting in a serial production line with learning, rework and scrap," International Journal of Production Economics, Elsevier, vol. 124(1), pages 32-39, March.
    5. Anzanello, Michel J. & Fogliatto, Flavio S., 2011. "Selecting the best clustering variables for grouping mass-customized products involving workers' learning," International Journal of Production Economics, Elsevier, vol. 130(2), pages 268-276, April.
    6. Plaza, Malgorzata, 2016. "Balancing the costs of human resources on an ERP project," Omega, Elsevier, vol. 59(PB), pages 171-183.
    7. Zanoni, Simone & Jaber, Mohamad Y. & Zavanella, Lucio E., 2012. "Vendor managed inventory (VMI) with consignment considering learning and forgetting effects," International Journal of Production Economics, Elsevier, vol. 140(2), pages 721-730.
    8. Adrian S. Choo & Kevin W. Linderman & Roger G. Schroeder, 2007. "Method and Psychological Effects on Learning Behaviors and Knowledge Creation in Quality Improvement Projects," Management Science, INFORMS, vol. 53(3), pages 437-450, March.
    9. Jaber, M.Y. & Peltokorpi, J. & Glock, C.H. & Grosse, E.H. & Pusic, M., 2021. "Adjustment for cognitive interference enhances the predictability of the power learning curve," International Journal of Production Economics, Elsevier, vol. 234(C).
    10. Zębala, Wojciech & Plaza, Malgorzata, 2014. "Comparative study of 3- and 5-axis CNC centers for free-form machining of difficult-to-cut material," International Journal of Production Economics, Elsevier, vol. 158(C), pages 345-358.
    11. Jaber, Mohamad Y. & Bonney, Maurice & Guiffrida, Alfred L., 2010. "Coordinating a three-level supply chain with learning-based continuous improvement," International Journal of Production Economics, Elsevier, vol. 127(1), pages 27-38, September.
    12. Anita L. Tucker, 2007. "An Empirical Study of System Improvement by Frontline Employees in Hospital Units," Manufacturing & Service Operations Management, INFORMS, vol. 9(4), pages 492-505, April.
    13. Trappey, Amy J.C. & Trappey, Charles V. & Liu, Penny H.Y. & Lin, Lee-Cheng & Ou, Jerry J.R., 2013. "A hierarchical cost learning model for developing wind energy infrastructures," International Journal of Production Economics, Elsevier, vol. 146(2), pages 386-391.
    14. Jaber, Mohamad Y. & Guiffrida, Alfred L., 2008. "Learning curves for imperfect production processes with reworks and process restoration interruptions," European Journal of Operational Research, Elsevier, vol. 189(1), pages 93-104, August.
    15. Patricia Heuser & Peter Letmathe & Matthias Schinner, 2022. "Workforce planning in production with flexible or budgeted employee training and volatile demand," Journal of Business Economics, Springer, vol. 92(7), pages 1093-1124, September.
    16. Janice E. Carrillo & Cheryl Gaimon, 2004. "Managing Knowledge-Based Resource Capabilities Under Uncertainty," Management Science, INFORMS, vol. 50(11), pages 1504-1518, November.
    17. Ingrid M. Nembhard & Anita L. Tucker, 2011. "Deliberate Learning to Improve Performance in Dynamic Service Settings: Evidence from Hospital Intensive Care Units," Organization Science, INFORMS, vol. 22(4), pages 907-922, August.
    18. Muhammad Babar Ramzan & Shehreyar Mohsin Qureshi & Sonia Irshad Mari & Muhammad Saad Memon & Mandeep Mittal & Muhammad Imran & Muhammad Waqas Iqbal, 2019. "Effect of Time-Varying Factors on Optimal Combination of Quality Inspectors for Offline Inspection Station," Mathematics, MDPI, vol. 7(1), pages 1-18, January.
    19. Biskup, Dirk & Simons, Dirk, 2004. "Common due date scheduling with autonomous and induced learning," European Journal of Operational Research, Elsevier, vol. 159(3), pages 606-616, December.
    20. Anzanello, Michel J. & Fogliatto, Flavio S. & Santos, Luana, 2014. "Learning dependent job scheduling in mass customized scenarios considering ergonomic factors," International Journal of Production Economics, Elsevier, vol. 154(C), pages 136-145.

    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:166:y:2015:i:c:p:119-128. See general information about how to correct material in RePEc.

    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 bibliographic 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.

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

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.