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Quantitative Techniques to Effectively Link Enterprise’s Performance and Lean Production

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Engineering Digital Transformation

Abstract

Lean Production has been widely applied in the last decades and it is generally accepted as a tool to improve the operations of organisations. However, how to properly quantify such an improvement is still not clear from a global and integrated point of view. The fact that the data gathered from applying LP production techniques—at the operative level—should be somehow correlated with the enterprise strategic objectives one—at the strategic level—presents important challenges to decision makers. This papers sets up this research topic, covering some relevant scientific literature, moving then to define a classification of important factors to take into account when deciding what quantitative technique to apply to this topic. Then, following such a classification, it assesses some quantitative techniques that could be used, mainly broken down into either objective or subjective. From this evaluation, it concludes that, from the evaluated, the most appropriate technique to be used should be the Analytic Network Process.

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References

  • Abreu-Ledón R, Luján-García DE, Garrido-Vega P, Escobar-Pérez B (2018) A meta-analytic study of the impact of Lean production on business performance. Int J Prod Econ 200:83–102

    Article  Google Scholar 

  • Agus A, Hajinoor M (2012) Lean production supply chain management as driver towards enhancing product quality and business performance: case study of manufacturing companies in Malasya. Int J Qual Reliab Manag 29(1):92–121

    Article  Google Scholar 

  • Alsyouf I, Al-Aomar R, Al-Hamed H, Qiu X (2011) A framework for assessing the cost effectiveness of lean tolos. Eur J Ind Eng 2(5):170–198

    Article  Google Scholar 

  • Bhasin S (2012) Performance of Lean in large organisations. J Manuf Syst 31:349–357

    Article  Google Scholar 

  • Boj JJ, Rodriguez-Rodriguez R, Alfaro-Saiz J-J (2014) An ANP-multi-criteria-based methodology to link intangible assets and organizational performance in a balanced scorecard context. Decis Support Syst 68:98–110

    Article  Google Scholar 

  • Camacho-Miñano MM, Moyano-Fuentes J, Sacristán-Díaz M (2013) What can we learn from the evolution of research on lean management assessment? Int J Prod Res 51(4):1098–1116

    Article  Google Scholar 

  • Hofer C, Eroglu C, Hofer AR (2012) The effect of lean production on financial performance: the mediating role of inventory leanness. Int J Prod Econ 138:245–253

    Article  Google Scholar 

  • Kannan VR, Tan KC (2005) Just-in-time, total quality management, and supply chain management: understanding their linkages and impact on business performance. Omega 33:153–162

    Article  Google Scholar 

  • Klingenberg B, Timberlake R, Geurts TG, Brown RJ (2013) The relationship of operational innovation and financial performance—a critical perspective. Int J Prod Econ 142(2):317–323

    Article  Google Scholar 

  • MaGa Y, Hong P, Modi SB (2010) Impact of lean manufacturing and environment al management on business performance: an empirical study of manufacturing firms. Int J Prod Econ 129:251–261

    Google Scholar 

  • Saaty T (1980) Multicriteria decision making: the analytic hierarchy process. McGraw Hill, New York

    Google Scholar 

  • Saaty TL (1996) The analytic network process: decision making with dependence and feedback. RWS Publications, Pittsburgh, PA

    Google Scholar 

  • Verdecho M-J, Alfaro-Saiz J-J, Rodriguez-Rodriguez R, Ortiz-Bas A (2012) A multi-criteria approach for managing inter-enterprise collaborative relationships. Omega 40(3):249–263

    Article  Google Scholar 

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Correspondence to Raúl Rodríguez-Rodríguez .

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Perez-Ruano, J.L., Rodríguez-Rodríguez, R., Alfaro-Saiz, JJ., Verdecho, MJ. (2019). Quantitative Techniques to Effectively Link Enterprise’s Performance and Lean Production. In: Ortiz, Á., Andrés Romano, C., Poler, R., García-Sabater, JP. (eds) Engineering Digital Transformation. Lecture Notes in Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-96005-0_22

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  • DOI: https://doi.org/10.1007/978-3-319-96005-0_22

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